Lenny's Podcast: Product | Career | Growth - Rethinking SEO in the age of AI | Eli Schwartz (SEO advisor, author)

Episode Date: September 19, 2024

Eli Schwartz is a leading SEO consultant and the author of Product-Led SEO. He has worked with industry giants like Zapier, Tinder, Coinbase, Quora, LinkedIn, and WordPress to build and execute global SEO strategies that significantly enhanced their organic visibility at scale. In our conversation, Eli shares:• How AI and LLMs are reshaping the SEO landscape• Why you should be focused on mid-funnel SEO strategies• How to determine if SEO is the right approach for your business• Why SEO should be treated as a product rather than just a marketing tactic• SEO myths• The future of search in light of recent legal challenges faced by Google• Much more—Brought to you by:• Pendo—The only all-in-one product experience platform for any type of application• Brave Search—A smarter way to search• OneSchema—Import CSV data 10x faster—Find the transcript and show notes at: https://www.lennysnewsletter.com/p/rethinking-seo-in-the-age-of-ai-eli-schwartz—Where to find Eli Schwartz:• X: https://x.com/5le• LinkedIn: https://www.linkedin.com/in/schwartze/• Website: https://www.elischwartz.co/• Newsletter: https://www.productledseo.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Eli’s background(02:10) The impact of AI on SEO strategies(11:34) Understanding search intent(15:30) Real-world impact and structured vs. unstructured data(20:19) Top-of-funnel vs mid-funnel SEO strategies(22:57) Case studies(31:29) Steps for getting started with SEO(35:20) Examples of when not to focus on SEO(39:17) Evaluating SEO investment(44:00) Understanding the tradeoffs in marketing channels(46:23) SEO conversion metrics and expectations(52:09) Understanding the time horizon of SEO(59:37) The role of AI in content creation(01:05:26) AI overviews (01:07:40) Brand building and SEO(01:09:51) Programmatic vs. editorial SEO strategies(01:16:06) Insights from the Google antitrust verdict(01:20:36) Google’s dominance in search(01:23:52) The future of SEO and user choice(01:26:28) SEO myths debunked(01:36:58) Forecasting SEO success(01:44:18) The need for SEO expertise(01:46:26) Lightning round and closing thoughts—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [e-mail].—Lenny may be an investor in the companies discussed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

You've noticed a significant shift in how SEO works with the rise of AI answers being integrated into search results. Transparently, I thought this was going to be apocalypse. Up until AI overviews, whoever won on that long form piece of content would get that first click. But now that doesn't exist anymore. What should people do to be successful in this new paradigm? Think of SEO as a product. The product managers are the people that should be thinking about this SEO question because it's a product question. Product people need to think about how do we position this to the user that is,

not going to find out about this from a social channel. That's not going to be attracted by an ad. This is a user that's doing their own self-discovery journey. If you can't answer the question about what is it that someone's going to do a search on, then don't do SEO. To a lot of people, SEO is kind of this dark art. It is not a dark art. It is simple.

I think step one is the step that almost everyone misses on SEO, which is... Today, my guest is Eli Schwartz. Eli is a growth advisor specializing in SEO and has helped companies like Core, Coinbase, Tinder, LinkedIn, WordPress, and Zapier, develop and execute their SEO strategies. He's also the author of Product-led SEO and has a very refreshing take on how to think about SEO and win at SEO. Recently, he's been spending a lot of his time analyzing how SEO changes

with the rise of LLM chatbots, Google giving you the answer straight in the search results, and also how to utilize AI in your SEO strategy. In this episode, we dive deep into everything that you need to know to be successful in this new AI paradigm. As Eli shares in the conversation, Google is just now rolling out changes to how search works and is greatly increasing how many searches

include an AI-generated answer at the top of the search results, so things are going to start shifting under our feet pretty quickly. If you're at all thinking about SEO, working on SEO, or are just curious about how search is evolving, this episode is for you. If you enjoy this podcast, don't forget to subscribe and follow it in your favorite podcasting app or YouTube. It's the best way to avoid missing future episodes. and it helps the podcast tremendously. With that, I bring you Eli Schwartz.

Eli, thank you so much for being here. Welcome to the podcast. It's a real honor to be here. You've had some amazing guests, and I'm honored to be counted as one of them. It's completely my honor. You've been working on SEO for a long time. You've been helping companies figure out how to win at SEO for a long time over a decade.

And we were chatting about what's happening in SEO. And you told me that you've noticed a significant shift in how SEO works with the rise of LLMs, with the rise of AI answers being integrated into search results. And so I thought it would be awesome just to spend an entire episode talking about what people need to know about what's changing in SEO and how to be successful in this new paradigm of SEO with LMs and AI being prevalent. How does that sound to you? That's an awesome idea. I really like what's happening with AI in general for SEO because is it's causing everyone that cares about SEO traffic, whether that's a PM or that's a

CMO, whether it's a CEO, to really be forced into pivoting their thinking about what SEO traffic means because the tactics around SEO haven't really changed. It's always been the exact same thing. When I was my last full-time job was I was survey monkey and I was a moonlighting on the side and I was introduced to a CEO of a big company and they were asking me about my approach to SEO and I wanted to close it. I wanted to get consulting engagement. And the CEO says to me, so essentially what you're telling me is I need to find my keywords, put that into content, and then build some links. Is there anything else you're going to do for me? Why should I pay you? And it's it's done me into silence because essentially that is and was SEO. And then that forced me

to really pivot my thinking around what SEO might be. And I pivoted my thinking and I, you know, I've talked, worked with many companies around how they should think about SEO and what SEO traffic should mean, but others have not because those tactics did work. And LLMs and AI in general is forcing people to think, again, how should SEO work? How should I be driving business from the search channel? This episode is brought to you by Pendo, the only all-in-one product experience platform for any type of application. Tired of bouncing around multiple tools to uncover what's really happening inside your product. With all the tools you need in one simple-to-use platform, Pendo makes it easy to answer critical questions about how users are engaging with your

product, and then turn those insights into action, all so you can get your users to do what you actually want them to do. First, Pendo is built around product analytics, seeing what your users are actually doing in your apps so that you can optimize their experience. Next, Pendo lets you deploy in-app guides that lead users through the actions that matter most. Then Pendo integrates user feedback so that you can capture and analyze what people actually want. And the new thing in Pendo, session replace, a very cool way to visualize user sessions. I am not surprised at all that over 10,000 companies use it today. Visit pendo.io slash Lenny to create your free Pendo account today

and start building better experiences across every corner of your product. P.S., you want to take your product-led know-how a step further? Check out Pendo's lineup of free certification courses. led by talk product experts and designed to help you grow in advance in your career. Learn more and experience the power of the Pendo platform today at pendo.io.com. This episode is brought to you by Brave Search. Brave Search is the private, independent search engine that doesn't bias or censor results. Brave Search and its Answers with AI feature are available for free to all users on desktop and mobile devices.

With Brave Search, you get real answers faster, served to learn. their own independent index of the web. Their AI search engine can give lightning-fast, incredibly accurate results for almost any question. But Brave isn't just AI answers. It's also a powerful traditional search engine with real innovations versus big tech options. It fights bias and SEO spam. It brings a cleaner results page with fewer ads, Reddit threads in the search engine results page, powerful local results, and even community-driven ranking options.

Tired of big tech's same old list of links. It's time to try Brave Search. Visit brave.com slash Lenny to get started. That's brave.com slash Lenny. So just to set a little foundation, talk about just what is it that's changing in search and an SEO with the rise of AI answers and LMs.

So essentially, Google and other tech companies had their hand forced by OpenAI and ChatGBT. So Google has claims to have invented the concept of LLMs, and they may or may not have in some of the early Open AI employees were Google employees. But ChatGBT BT came on the scene at the end of 2022 with this ability to ask any question and then get a written out answer. And suddenly people are like, well, I don't need a Google and click all these results. So there started this conversation of you don't need Google anymore.

Google is ending. Even more than that, you don't need SEO. You don't need to optimize anything because all the entire world will just be given to you. We'll dig into that. I don't think that's at all correct. And I don't think anyone, whether you're doing SEO as your full-time job, whether you're receiving SEO traffic as a part of one of your primary marketing channels, I don't think anybody has to worry about that. However, Google was worried about it. And I think one of Google's primary stakeholders is really Wall Street. So if Wall Street suddenly thinks that Google is a has-been company and they're not interesting anymore and they don't want to maintain investments in them, their stock price goes down. And that hurts. Google's ability to recruit employees. It hurts Google's ability to raise money and invest in all the interesting stuff they do. So Google has to satisfy the curiosity and the interests of the general world and general investor by saying, oh, that open AI thing, we can do it too. That's not that big of a deal. So then Google responded badly, of course, first, by launching what was then barred. So they said,

open chat CBT. Look, we've got our own version and they did a public demo and didn't work out well at all. And their stock price actually went down and then they fixed it and then their stock price went up. But they also had to have an answer to this concept of, is search dying? Does anyone need to search anymore when the entire world can just be given to you? So they launched what at the time they called SGE, search generative experience, which is essentially chat GBT in a search result. So they launched that, but they launched it as a beta. And there were huge issues with what they were doing there because there's monetization issues. They monetize, everything they do comes from ads. The majority of their revenue comes from ads. So if you're

going to show this AI answer on a search result, then you also can't have ads. You need to go all in on one of them. That was one issue, which they actually have not solved yet. Another issue they had was liability. So if they have a generative response that tells you to do something awful, like I think there was one where it may or may not have been fake. A lot of people made some fake ones that told you to jump off the Golden Gate Bridge. Are there liability concerns? Because Google now is the publisher. They're not a search engine that told you how to find out the answer to that. They told you to do it themselves. And the third issue there, which is another liability concern, is it plagiarism. So those are the things that they worried about. So they took about a

year to test this thing, which was fascinating because, you know, we're tech people and most of the listeners are tech people. Google is very much a launch fast kind of company. They reveal something, and then it sort of rolls out very, very quickly. They're not the kind of company that says, we're going to launch something and then they take a year to do it. So AI overviews, what was then called Search General Experience, launched at Google I.O. this past year in May of this past year, and they renamed it to AI reviews. And it's that. It's essentially chat. at GBT in a search assault. They launched it to great fanfare.

Of course, it was live right away. They said it was only going to be logged in users only in the U.S. Obviously, they always have concerns about launching things in Europe, because Europe's a little bit more litigious than the U.S. And once they launched it, suddenly they started getting these screenshots of, Google told me to jump off the Golden Gate Bridge, Google told me to put glue on my pizza, which is, of course, Google didn't do that. They just crawled things from around the web.

I'm surprised that Google didn't predict that because the exact same thing happened with chat CBT and Google's much bigger and a much more interesting target for people that want to share those things on social media. So Google launches it and that was a little bit embarrassing so they rolled it back somewhat.

But what's even more interesting is they've given up on this rollback and we're not giving up. They've gone back into it and they've relaunched it and now it's on so many more search results. I'm seeing it on most of the search results that I see.

And on top of that, It's not on, it's non-logged-in users are seeing it. So in Coconito users or users without any history of Google are seeing it. And they've just launched it in the UK. So this thing is coming and it's really going to be affecting search results. To maybe help people understand why this may impact SEO, if it's not obvious, is it pushes results down. People get the answer right there. They don't have to click your links.

And then there's also like the mass, the sponsored links at the top of the page that already are pushing you down. So basically your stuff is. harder and harder to find, right? Actually, it's not that it's harder to find. Your stuff becomes less relevant. And that's the part about SEO that I'm excited about. So SEO was exactly like that CEO said to me years ago. It's just about creating some content.

And then it's just like this sort of this race to the top of getting your ranking results on that top keyword. So years ago, I worked at a startup where we were in the automotive space and we wrote content about cars. And a word we like to rank on was cars. We bought, we wrote, the homepage was ranked for the word cars. We bought tons of links and we were just a cars website. Obviously, that's not something anybody could expect to do now because you don't search

like that. You don't search, oh, I need to buy a vehicle. I'm going to use the word cars and sort of see what comes up because cars means a lot of things. Cars is a movie. Cars is a kind of car you drive. Cars could be a go car. It could be a lot of things.

So no one's going to think about those search results. However, SEO still geared towards those top of funnel. those big keywords that people cared the most about. So now a lot of those keywords are going to be moving into these AI overviews. And I don't want to just focus on Google, although I think Google is going to own the entire search page forever, never, at least for a very long time. But other engines, whether it's perplexity, whether it's Claude or whether it's meta, they all have this opportunity to give AI overview type responses.

That I think those top of funnel kind of queries are a great fit for what's going to come out as answered. So if you're looking to go on vacation and you want a beach vacation, you can ask a very explicit question about give me a beach vacation that is not in America, but is a two-hour flight from X airport. That's the kind of thing that you could do in a Google search, but would take you a very long time to do. And those are great answers from just getting a paragraph. And then from there, you move into the midfutal. So now you do this query and Google suggests to you that you should go to Cancun, or sorry, not Google, but whatever that answer is suggests to you that you should go to Cancun. And now you're sort of in the mid-funk. And that's where SEO begins to matter.

So the reason why I think this disruption is so big is because the journey changes, the discovery changes. So whereas before, if you were a travel site, you were able to rank on a best beach, that's best beach vacation within two hours of the United States. That's your ranking result. and then you have your long piece of content and you have your ads and you can monetize that. That all changes when you can still rank number one on that, but you're all the way at the bottom of the page.

The AI answer, whoever that's from, whether it again from chat, GBT or Google, tells you where to now start doing your deeper search. So just to maybe mirror back, what you're saying is the discovery step of search is going to be swallowed up by LLMs that give you direction. and then once you have a sense of what you want,

then you go back to Google, and that's where potentially the opportunity continues to remain. Absolutely. And I think that's where things are good. That's where I'm excited by the user experience for search, because I don't think the user was best served by, I don't know, U.S. news or Forbes writing out where the beach vacations are within two hours of the United States

with that piece of content that was written by a freelancer who's not a travel expert. So now you're going to get that information also from not a travel expert. You're going to get an AI summarized answer. And that will give you more clues and more ideas to do a deeper research search. And I think that's where the user's best served. Okay, this is fascinating. Let's definitely spend more time there so people understand exactly what that means.

Before we get into what people and that and what people should do to win here, what impact have you seen on SEO and search results and the space of SEO as these things have rolled out. Have you seen numbers of like this is declining? This is growing. Transparently, I thought this was going to be an apocalypse. So I shared about a year ago that it's going to be an apocalypse. We have not seen it yet. And a lot of people are declaring victory that there's no apocalypse because we have not seen it yet. However, this thing just launched in a way that I think it will start impacting traffic. So prior to the last couple weeks, it was not available on logged out search. It was only a logged in search. And even more

than that, on that logged in search, Google had rolled it back significantly because of those embarrassing things that happened in May and June when they first launched it. They're only just now launching it broader, and I do think we're going to see impacts. Of course, another challenge with pinpointing and impacts is they're rolling algorithm updates that are happening, which we'll also talk about. And that will sort of mask what's happening because if you've been hit by an algal update and suddenly you recover from the algal update, you'll see more traffic, but you might have see more traffic, but on a lower base because these AI reviews are changing things. So I think if you take all those steps back and you look at this from a journey perspective,

there's no way that it won't be impacting search. It's just going to be hard to find. And there'll be certain examples where it is extremely prevalent. And there'll be others where it won't impact things at all. And I think the dividing line is the journey. We're in the funnel that user is. So if you are WebMD and you're writing content about the human body, just generic content that has existed since medical journals were created, AI overviews are going to be fantastic at giving you that answer. You know, you read a, you have a headache and you just like, well, this headache's not going away. Should I take more Advil or should I take a nap? And then you find that WebMD article and you get to like page six

and it tells you that, you know, 0.2% of people that have a headache actually have a brain tumor. And you don't need that anymore because Google can tell you, you're good, you should take a nap and drink some more water. And WebMD was competing with Healthline and other Cleveland Clinic and Dallas Clinic and all these other hospitals. And it's totally unnecessary to go and look at all these results and go through six pages of information about headaches. So a site like that will be impacted by AI reviews. An e-commerce site, maybe not. It depends where in the funnel that user is. as you're talking, I was reminded of something that I forgot about with my own experience. I used to have a website called When is Hanukkah this year.com

because it changes every year and it just is just the date. That was the whole website. It gives you the date of Hanukkah this year. And I put ads on there and made like 10 bucks a year. And then Google came in and just gave you freaking answer right inside the search result. So I've experienced this. So it's even more than that. So what you're referencing is structured data.

Yeah. So that's a very easy. thing for Google to tell you, when is Hanukkah in 150 years from now? It's in a data set. What's happening now is Google's taking this unstructured data from content and building it into structured data. So you could ask a question of like, what is the likelihood of a baby needing to go to the hospital because they're showing this sort of symptom? And again, instead of reading all that content and making a decision, Google could take all that unstructured data, and not just Google, can chat, GBT, or Claude can take all that

unstructured data and give you a statistic based on everything they've read. And that's very helpful to users. And I think, again, users benefit. And then a user might find out there's another piece of information where I'd actually like to read a medical paper or that now I'd like to Google and find the closest doctor to me who has certain hours. That's a Google search. That's not an LLM AI search. Yeah. Just to clarify, I didn't intend to say that that was a recent, that was AI oriented, that happened like a decade ago. So yeah, I totally. Well, I just thought that was interesting to really drill into the difference between

structure and unstructured, because unstructured is actually where Google is disrupting everything. So this entire idea of SEO, again, up until 2022, was monetized unstructured data. Whoever wrote the longest piece of content on best beach hotels in Miami and then built the best links to it, they would win. They win whether it's ads or win whether it's hotel bookings. Now, Google can start you off at the top of that and say, these are the best beach hotels based on all the people that have written content or actually Google's own structured data from the reviews and give you that. And then you can say, okay, I'd like to go to this hotel or I'd like to stay in this city.

So help us understand even deeper this distinction between top of funnel and midfunnel. So when people are maybe winning at one or the other, what does that look like? What are some examples of like here's a top of funnel type of search that Google is going to eat? And here's a mid-funnel experience that you can win that. So in general, SEO has always been more at the top of the funnel, generally, because you're curious about something. So let's say you're looking for a new software. You're looking for new podcasting software. So you search for top podcast tools.

And you get back a list on, let's say, G2. So G2 is another G2 and all the sites like G2, like the gardener sites like Captera, all going to be massively disrupted. So you would get back a list from G2, which would give you out all the software. And you look at some and it would say this one's geared towards enterprise, this one's geared towards small podcasters, this one's free. And then you have you, now you've narrowed down your list to these three tools. And that's when you start doing those searches. Now you're midfunk.

Now let's say you've chosen Riverside and you've gotten enough information from those other searches. Now you start searching Riverside Price, Riverside Capacity, Riverside Bandwidth, right? that's bottom of funnel and that's where you'll now go by Riverside. However, at the top, you're doing top podcast tools. So again, up until AI overviews, up until this entire concept of LLM, whoever won on that long form piece of content would get that first click. But now that doesn't exist anymore, you just go to Google and Google tells you, these are the tools. Oh, you're looking for a new CRM? This is what a CRM is. You want to know, do you need a CRM or do you just need a calendar. Look at that and Google will just tell you in a paragraph and now you've

redirected your search somewhere else into middle of the funnel. So I think that's where SEO always should have been because that's where conversions could potentially happen. However, SEO never was there before because the way most SEO measures its performance and its success is rankings. So they would say, well, it doesn't really matter if we convert on the word CRM. But look, we're number one. So we're winning. First of all, as a user, this sounds great. I'm like so tired of just all search results, just being a bunch of SEOed pages, just with a bunch of BS answers.

And so I really prefer Google. Just tell me what I need to know. The other pieces, if you really think about Google has been trying to do it, like they've been trying to do this. It's like, here's our best shot at giving you an answer to this question, and here's links that'll point you to an answer.

And this is just a better version of it where it takes all the actual information and just gives you the end result. So it makes a ton of sense that they're doing this, and the technology has finally allowed them to do this. Okay, so let's get to the, I don't know, $64,000 question, million dollar question. What should people do? What should people do to be successful in this new paradigm that as you're describing is like

in motion? Like, it's just starting to now happen. And it may be catching people off guard because they've thought it's already been out and things are okay. And you're saying it's actually starting to actually move quicker. I think it's fascinating. I'm honored to be one of the few marketers on your product podcast. But I think of SEO as a product.

And I think the product managers are the people that should be thinking about this SEO question because it's a product question. There are users that are coming in from the search channel. What is the product that I need to create for them? What is the experience that I need to create for them? So it typically was thought of as a marketing challenge of the product people have created this thing for me. And now I expect the marketers to go and do the SEO.

thing for it, but there's a mismatch. So for example, I find very often when I talk to SaaS companies, I don't think SaaS in general should do SEO, but very often when I talk to SaaS companies, they have created a product for whatever user, and then the marketers are expect to make that product fit into the thing that the search results are around and it doesn't work because that's not what they're looking for. No one asked the question of what it is that they're looking for. So now, that SEO is changing and you really need to think about this midfunnel and you need to think about a user experience and a buyer experience when they're doing the search, I think it all comes together. And this is where the product people now need to think about, how do we position this to the

user that is not going to find out about this from a social channel? The user that's not going to be attracted by an ad, the user that's not going to discover this tool from a trade show. this is a user that's doing their own self-discovery journey. And this is what is the thing they're looking for and how do we position this product in a way that they're going to find it. So that's what everyone should be doing. Product really collaborating with marketing and discovering what is it that the user wants and showcasing that.

And I was recently talking to a company in a health space. They have an app. It's a health app. And we talked about their marketing. their marketing, their SEO in general, was they write thousands and thousands of blog posts. AI has allowed them to do things they should never have done. They write thousands of blog posts about health in general. And then they wanted me to, I told them they shouldn't do that in general, but they wanted

me to experience their product. So they gave me a code to download their app, and their app is awful. It's a bad product. So they're trying to do marketing that doesn't fit for a product that doesn't do the thing they say it's going to do, if they fix the product and understand the user, now it becomes, well, if I'm a user looking for this product, what are they looking for? How do we showcase that again in the midfutnel? Can you help us make this even more real? Maybe go through an example of a product you worked on or one that's doing this really

well in terms of going from, hey, they want our product. What's the journey look like? What's a good example of that? So the earliest example of where I sort of discovered on this process was, like, about 10 years ago, I met the CEO of Zapier, Wade Foster. And he was a coworker of mine and had invested in his company and he asked me to meet with him to just discuss SEO. They were doing something that no one needed. They had this product which zapped things together, but no one needed because they didn't know it existed. But people knew that they needed things to work together. They just weren't looking for Zapier. So in my discussions with them and our SEO experiments that we came up with, we said, well, people,

are looking for, let's say, Gmail and they're looking for Salesforce. They know that Gmail doesn't connect to Salesforce. They know Salesforce doesn't connect to Gmail, but they're looking for ways to pair it together. So what if we created as a product, a marketing way to showcase that this product of zapping Gmail to Salesforce and Salesforce to Gmail exists? And that's what we did. So we built that at scale for everything that could work. And that was the experiment I did with them where everything would be available and it creates this flywheel of, wow, if Gmail can work with Salesforce, what else does Gmail work with? Can it work with this other tool I have? And that's a, again, early example where I stumbled upon this idea of people are looking for

that other thing that you could do, showcase the fact that your product could do this thing. I had no idea that you were involved in Zapier's SEO work. That's one of the most legendary successes of SEO. So very cool. total accidental, like whenever people ask me about programmatic SEO, and I know we have to dig into that what programmatic SEO is. They're like, I want to imitate Zapier. So that was, it's always great to mention that I helped through that. That's amazing. Okay. So the lesson there is you realize that the key, you need, like the opportunities to teach people what they could accomplish with this product. Like there's this awesome product doing amazing things. They have a

need they're searching for. Say it's like Gmail and Salesforce and how do we help them see? there is something really interesting. Yeah. I actually have a better one for you. Great. Let's do it. So I worked with Tinder for a couple of years. And I worked with, you know, when we talk,

one of the biggest challenges I've ever had with SEO, especially as a consultant, is getting things done. And I worked with amazing companies and there's great people, but then they run into this wall. So like in my book, I talk about one of the earlier stories I had of this, where I worked to the company where I worked, I was hired by the CMO, and we built a, out a great plan and then we go to the CEO who brings in the CTO to discuss our plan and the

CTO says, I don't have engineers for this. So you decide whether you want to work on the product or you want to work on this marketing thing you've done and then we just didn't do anything because they'd never resourced it. But I worked at this really great product person at Tinder, Udi Milo. He was the chief of growth. And he really saw a problem where Tinder had never done SEO. All of Tinder's inbound came from the word Tinder. And he's like, there has to be upside for SEO if they've never done it before. So he was convinced of that. He was willing to drive forward on this idea.

So when we started working together, the first thing we came up with is, what is someone going to be searching when they look for Tinder? And it's not online dating. That's a single word. We're not going to write out long form content around everything related to dating because that's not the Tinder product. You're not reading a piece of content about how to fall in love and then somehow converting into Tinder. But in our user research and in the discussions we had on what the investment we can make into SEO was,

we discover that Tinder is a loneliness solving problem, loneliness solving solution. So you're lonely. You've gone to a new city. You don't know anybody. You'd like to solve your loneliness problem. So because you're in a new city, it occurred to us that this is a local thing. So we're going to look for anything related to local. So what you built out is if you look for online dating in many cities around the world,

and this is beta, it remained in its beta state. But if you look for online dating in many cities around the world, you're going to find a Tinder page, which gives some examples of places you can go on a date. And more than that, it gives you Tinder as a solution to solve the loneliness problem you have. So what changes here with the rise of AI overviews and things like that? Is it this is where, this is how future of SEO looks versus just keywords and endless blockposts? Actually, nothing changes here with AI reviews.

Because if you're looking for, you've gone to Dubai. You've just, you've gone to Dubai as a brand new country. You've never been there before and you're lonely. So you look for online dating in Dubai and you're going to get, you know, again, AI overviews might tell you, what the dating scene is like, it might tell you where to go on great dates. However, it doesn't allow you to solve the loneliness problem you have. The loneliness problem you have is a mid or bottom of funnel problem. You're still going to click on Tinder's result, no matter what the AI overview does. So that's where I think SEO should be. You need to be in the buyer

journey with the SEO you're creating. And it doesn't matter what AI reviews does or doesn't do because you're still solving the midfondal problem with your SEO solution. Let's go in a direction I was going to say for later, but it might be useful now, which is say somebody's just sitting there at their desk thinking, hey, I want to, I want to be successful. I want to start doing some SEO. I want to be successful at SEO. I haven't really done a ton here. With this new world of AI and LMs, what would be step one, step two, step three to move down a direction of starting to poke their toe in the water of SEO? I think step one is the step that almost everyone misses on SEO, which is be the user. Try to understand who your user is. And there's been so many companies,

and SurveyMonkey was a great example. When I spent seven years of Survey Monkey, and when everyone got onboarded at SurveyMonkey, they gave you a Survey Monkey account and told you that you should run a survey. I think in the later years, they forced everyone in their onboarding time to use a survey, run a survey with people in the company. But before that, no one did. So they had this account and they never did a survey. So they had zero customer empathy for why people use the tool. And then when you think about it from a product and marketing standpoint, you're thinking about it as a work challenge rather than a customer empathy challenge.

So the first thing anybody should really do around anything that they're trying to do SEO is try to be that customer. So if I'm a user of this SaaS, I'm building SaaS and I want to market this tool, what is a user going to look for? What's the problem they're going to look for that would make them want to do a search? And earlier, I referenced that I don't think most SaaS tools should do SEO. And the reason is because a lot of times

when I talk to SaaS companies about SEO, I ask them this question and they give me a blank stare. So if you can't answer the question about what is it that someone's going to do a search on, then don't do SEO. Because SEO is about appealing to that user. if you can understand what the user should do around looking for whatever product you have, then that's the first step for SEO.

So who is this user? Who am I marketing to? You're sort of creating this persona in your mind. Step two is think about the asset you're going to create. So pivoting over the way it talks about Tinder. So we understood that it was a user that was solving a loneliness problem any of the world because that's what Tinder does. It solves that loneliness problem in any way you want, of course.

and now we had to think about what is it that we're going to create. We know it should be global, of course. We would know we wanted to be programmatic, which is something we should dig into like different programmatic versus editorial. We know we want to be programmatic because no one wants to be a position of writing a page out for every town or every city or every neighborhood in the entire world. So we want it to be programmatic. What things do we need to pull into that?

And then the third step is really building, we're on a product podcast, of course, to the product people. you're building the product for that SEO user. So where do you get those inputs? What does this page need to look like? So again, the reason I think SEO needs to be on product is because the inputs for SEO aren't the way many people think of SEO, which is a piece of content optimized for Google based on the keywords I've chosen.

I think of it as a product, which means you need design resources. You need engineering resources. Of course, you need a product manager to really oversee the building of this. You need user research. So it's, again, more than just a piece of content. So we're going through those steps again. It's understand who your user is. Decide what it is that you need to create for that user.

And the third is envision this product. So I think there's a really powerful point here that might be, people might not get, which is the user needs to be thinking of something they will go to Google to search for it to find your product. So it's if nobody is searching for the thing that you're building in some way, there's not going to be an opportunity for you to win an SEO or benefit from SEO. Are there any examples that come to mind to you of B2B SaaS companies that just like, there's no SEO opportunity here, just like no one's searching for this thing?

Most of them. I wanted my first consulting clients, right, when I left Surrey Monkey was Mix Panel. So, I mean, I just left my job and I'm going to take any client that I have. I have some awful clients that I took, but Mix Panel was not an awful client. It was just an eye-opening client. We were trying to do SEO and I'm doing SEO in exactly the way that CEO had told me SEO should work and he was going to do it himself. So I told them the keywords.

We came up with the content. We built the links. We did all the stuff SEO was supposed to do and it didn't work. And we were sitting there and I asked them to like show me the user journey. They have a tool that does it. That's what Mix panel does. So someone clicks on a search result and they land on this piece of content, which we did research and we know people look for.

but why is it that it doesn't convert? And then I realized that there were other problems to this conversion, which is mix panel is a product you integrate in your entire company. You don't just do a quick Google for it and be like, oh, analytics. Yeah, I'm going to tell everyone we've got to do it and it's going to be live tomorrow. Also, mixed panel is expensive. So again, it's the kind of thing that there's friction of you don't just click from a search result and then decide to just purchase it. You can't even purchase it on your credit card. I don't believe. So those are the issues. And that's why I think SaaS is not the best fit for SEO because if you think about that journey, the problem doesn't necessarily exist. The SaaS solves the problem, but only once you know that problem

exists and getting people to know that problem exists is typically not an SEO challenge. It's typically a brand challenge. You know, you make a viral video of you didn't realize that you could use this tool we've created to solve your problem, but no one is necessarily searching for a problem they didn't know they had or a solution they didn't know could exist. So that's where the breakoff is. And then the other issue, of course, is now they know the problem exists, but it's not an SEO journey. So I had another eye-opening experience early in COVID when everyone was home and there

wasn't a lot of things to do. Google reached out to me about a role on their team on Google Cloud for doing SEO. And it seemed like an interesting thing to go through a hiring loop and stay at home. So I had a fascinating experience interviewing because every time the, you know, The first was the hiring manager and every time of someone on that team that started the interview, they said, are there any questions that you have for me? And then I spent the next 45 minutes asking them all the questions. Like, why are you doing SEO? What kind of keywords would you want to do? What does this SEO journey look like? Because for Google Cloud, they only have two competitors,

Amazon and Microsoft. And no one is going to do a search and be like, oh, Google's number one for this term I searched. Let me just go buy it. There's a decision making process. You bring there's a committee decision. So SEO sort of made no sense for that even to be included as a part of a marketing channel. And, you know, at a grand scale, Google Cloud should not be doing SEO. At a small scale, a lot of SaaS tools shouldn't be doing SEO because there isn't necessarily an SEO journey. I get a lot of pushback from companies when I tell them, they're like, look at all the SEO we've done, but that plateaues really quickly. This is really fascinating. And just to maybe reframe what you're saying because there's kind of a couple elements of this,

it's not necessarily that people aren't searching Google for the problem. So I'm thinking of like Vanta, SOC2 stuff. It's not like people aren't SOC2 certification. It's not like they're searching. And what I'm hearing is the bigger issue is they were never buy your product from that experience and that journey. Like it may educate them a little bit and may teach them, oh, Vanta exists, but they're never going to become customers. They need to talk to a salesperson. They need a involve a bunch of stakeholders.

So it's basically a sales motion. It's not a product-led SEO motion. Yes. Is that right? Yes. Pulling on that thread a little bit further beyond maybe even B2B, just how does one decide if SEO is an opportunity for you and also just how much should you invest in this opportunity, just to explore it?

So we have to really put away the myth that SEO is free because it's absolutely not free. There's a cost in time. There's a cost and resources. And of course, there's the direct expense for SEO. So if you're deciding that you should do SEO, so now we have to go through this evaluation. Again, this is where I think of it as a product where you have all these product ideas and what should you spend time and money on. So SEO is a channel you may or may not want to invest in.

So say there's a SaaS tool and they're convinced there's an SEO journey. People do search for this solution. You know, when I was at SurveyMonkey, we generated a couple hundred million dollars a year off of organic traffic because it was a freemium tool where you search for. for the problem, the problem. You find the solution. It's free. You sign up for it. If it works for you, you end up paying and that's the revenue we've generated from organic. So say there is a journey. So people do search for it and it makes sense to invest in SEO. Now is when you'll decide how much should you invest in it and how you should invest in it. So typically, again, for SurveyMonkey,

it was around creating content. It was around templates. It wasn't very expensive. But let's say there's a company that does not have a content team. They don't have a product yet that people are going to search for. They don't have a product manager that's going to be overseeing this SEO process. So saying you need to hire this PM where you want to hire an agency. A typical SEO agency, I mean, you're not going to spend $500 on an SEO agency. It's going to be upwards of $10,000 just because that's the cost of someone's time. So it's $10,000 a month, $120,000 a year gets even more expensive if you have a full-time employee. So that's one expense you're going to outline. Then you're going to add in all the supporting resources. You need a CMS that costs money. You need an engineer

to support them. That costs money. You need a potentially design. You need content. So it can really add up quickly. And now you look at that investment and you say, for this tool, if I invested a million dollars a year in SEO, do I expect to make back a million dollars a year soon? Right? SEO will always make back money if it's the right fit. But soon. So SaaS tools, especially startups, they need to make that money back soon. Or if they took that exact same million dollars and put it into brand ads, or they put it into influencer campaigns, or they put it into just traditional paid marketing on meta and Google, would you make that million dollars or a million one dollars back faster? And that's where I think the valuation should happen. Instead of this default, well, I just got my

funding. I need to invest in SEO because it's free and everyone does SEO and look my competitors do SEO. It should really be this thoughtful strategic decision-making process of how much will this cost me all in? And is this the right use of funds? Amazing. So I think this is really important. It's not that you won't benefit from SEO. It's not that SEO isn't an opportunity. It's that you have much bigger opportunities in other areas, most likely if you're a B2B SaaS companies, because the journey isn't fully online, you're not going to convert by just reading a bunch of pages. Absolutely. Yeah.

Yeah, there was once a company I met, there was a SaaS tool. They were in a gardening space. They made a SaaS for gardeners. And they were insistent on doing SEO and they asked me to look at a proposal they got from an agency for $15,000 a month. And it was all content. And then I asked them how their users found them. How did they get all the customers they had that paid them?

How did they find them? They said they go to these gardening shows around the country and they have a booth. And each booth costs them $10,000. So I said instead of spending $15,000 on SEO, you could go to all these shows for the exact same budget and you get users who are interested, they're in market, they try your tool out at the booth and then they leave and their leads that you can follow up with. Instead of investing in me, I hope it works. It's sort of free.

There are searches for it, but it's not the right searches. The takeaway here is if you're thinking about whether SEO is worth it, an investment for you and you see all these other companies doing SEO, winning with SEO. Think about how much will this actually cost us? And I think the most important takeaway for me here is if you don't think it'll convert online, if you think sales is the core motion of the process, it's probably not a good ROI for you. Absolutely. Yeah, really think about what are the tradeoffs?

Again, from a product standpoint, there's always tradeoffs. So what are the tradeoffs to investing in this channel versus another channel? And I think like what I've seen, there's all the, the way I think about it, there's four actual growth engine. There's four core growth engines. SEO paid virality and sales. And what I find is eventually large companies do them all, like unless you're a consumer, you don't do sale. And so it's not like SEO should you should never do. It's I think the main point here is earlier stage when you have limited resources, probably not the best use of your time.

I think there are companies that should probably never do SEO. Going back to what I said in Google Cloud, I don't think that Google could ever say, really pinpoint that there was a customer that they got purely from SEO. And you're going to do all sorts of weighted attribution, and maybe that person did discover Google Cloud from a piece of content or a piece of SEO asset, but they never would have converted

with all those other things that they've touched. And it's not like you're saying, don't be on the internet and don't make it easy for people to understand who you are, don't have like a great site, don't have like other pages writing about you. It's just don't, you don't need to spend time optimizing the search result for Google.

cloud. You're not going to benefit significantly from that. Yes. I mean, again, go really digging into this user journey piece. I don't think restaurants typically should have a website. Not only should they not do SEO, but I don't know that they should have a website. Because if if you think about the buyer journey for a person looking for food, they don't typically go to a website. So if you're looking for pizza, and again, a lot of pizza shops have websites. But if you're looking for pizza, you're going to Google Maps, DoorDash, Uber Eats. You're not going on Google. and saying pizza near me and then browsing the websites and making a decision about where to eat lunch. Again, if you're choosing how to kid your kid's birthday party, that might be a different thing,

but you're not browsing and saying these are the places I'm going to go right now. But more than that, it's expensive. And there's no way that that pizza shop knows that the website they have with the soft music playing and their menu that comes up and flash, which is expensive, does a single thing for them. Most of their orders are going to come, again, through those other platforms. Yeah, I hate restaurant websites. One thing I read once that explains why restaurant websites are so bad is what restaurant owners are big on just like, what is the experience when someone enters my restaurant that they go through with the vibe? And they do that on the website. They're like, here's the music and here's the imagery and here's the animations. And nobody wants

that on their website. Just like give me the hours and location and your menu. You mentioned a couple things that I want to drill into a little bit. So one is just how long SEO should take for you to results. Two is just expectations of what does good conversion look like. What does it tells you this is actually a journey that could work for us well enough that SEO might work? So maybe those two questions. So those will be custom for anything. And I hate to use the word it depends. Because I think whenever consultants say it depends, they're just, you know, they're throwing their hands up and saying, I don't really know. I'm not, I don't have an opinion on this. And it's like when you go to a doctor and the doctor's like, well, it depends. I mean,

you could be dying or you could just, you know, need to take a nap. Right. So, There's a custom answer here, and it comes down to what the company is and what the expectations are. So how long it takes? That depends on what you're building. So if there's an opportunity, like again, with Tinder, it took us a while to actually build anything. So it took us all this time to build for ID8, then build, and then to see results. But once we built, and I love working with big companies that are well-known brands, because what we build, as soon as it's available on the web, it's like,

turning a huge ship, it starts driving revenue and starts being super effective because it's there. Something didn't exist and now it exists and it drives revenue. Smaller companies, it may take many months before Google notices. It may take many months before the demand is there. Like with Zapier, I think it took them a couple of years before they even saw any results because nobody's looking for it. So it comes down to what is it that you're building and how quickly users will come and find and need that solution. Then as far as what the expectations are on conversions, that also is really depends on what is that you're looking for. There's some companies are building media and they, I mean, again, I think most companies should just not write a lot of

content unless they're a media company. But if you are building media and you're monetizing that content from a media standpoint, so maybe leads, maybe clicks off the page into leads, or maybe at CPM advertising. So then your conversion is what you're trying to do with SEO is get a lot of page views. Because the more page views you get, the more clicks off that page you get into something else. If you're a SaaS tool, then your conversion should absolutely be whatever a MQL should be. So you, and again, I think most people don't do this correctly with SEO.

They use the wrong conversion metric, which is top of funnel ranking. Oh, I'm ranking. My SEO is successful. I'm number one for this. instead of how does this benefit me? There was a company I was working with a SaaS tool. They're in a two side of marketplace. They worked with in an HR space.

So they only monetized one side of that HR space, but all the traffic was on the other side of the HR space. So when we were talking about their SEO conversion problems, I suggested that they delete all the content that was on the wrong side of that marketplace because they didn't convert at all. And there's no, and this is a common misconception, people will think you get a benefit from traffic. Google sees, oh, I get all this traffic from search. They think I'm a very good website. So even though none of this converts for me, I should have

a blog because blogs are good. It doesn't really work like that. I mean, maybe if you're this massive website and I don't know, you're, let's say you get millions and millions of visits, then you can build some sort of authority and some good experience in Google. And now you can launch something else and you don't have to worry about needing to build up that authority. But generally, driving traffic to something that doesn't convert for you, it wouldn't be a good idea. So really understanding what is it that you're trying to do with the SEO traffic, that's your conversion metric. So could be MQLs, could be page views, could be dollar conversions. It could be people picking up the phone or watching the video, but it has to be some sort of conversion. So for a startup,

it might mean that you're getting links. I mean, at a minimum, people reading your content deciding to link to you and give you social shares, that might be something you put in a pitch debt. Whatever it is, there has to be a conversion metric that matters for the business. So just to give someone that's starting to do this something concrete to look at, when you come to a startup and help them with a CEO, what do you usually track as a sign this is working that we should keep investing? What's like, what are the couple of metrics that you look at most? The first is really understanding what is it that they care about. So, and rankings could be something they care about if someone else cares about it. So for

example, if they're going to put in their pitch deck, we're number one for this tool. And investors, they don't know that that doesn't convert. So that might be something that we should care about. They should be number one for that tool. If it's MQLs, so they just need people filling out lead forms. So really understanding who it is that they're trying to attract with SEO, that's the metric we're going to use. And again, I don't know why SEO, this happens with SEO, but not any other channel.

no one doing paid marketing will ever say, this is how many times I'm number one on this search, where this is how many clicks I get, or look at how much I spent. There's really a, we spend this and we're this efficient. This is what we drive from that. And SEO really needs that same rigor. So what I'm hearing is look at,

if you're in B2B leads coming in through SEO, track that or rank potentially, if that's like a vanity thing, you can show investors. And you're saying traffic alone, because usually in decks I see an investor updates, It's almost always the metric I see is traffic we're getting through SEO. Yeah, totally waste the time.

Amazing. Yeah, unless there's a reason for it. So if you're a media company and traffic means that that number keeps going up, then yes, it matters. But if you are driving leads and that traffic number goes up, but you're not driving more leads from SEO, you're getting worthless traffic. It doesn't help the business. Awesome. Okay. Back to the question, just how long it takes, just to give someone something here.

that they can tell them when it makes sense to keep going or move on. Say you're just like taking a shot at SEO. How long should you give it to like make a decision this is working for us or not? Or is it always, there's always something here. Keep working. Like how do you decide keep doing it or not? When you're building out an SEO effort, and then you keep going back to this, it's a product. So you're building out a product roadmap and you're creating milestones.

So you say it's going to take us this first month to ideate on what it is that we're building. It's going to, in the second month, we're going to build out a PRD for the engineers to start working on. In the third month, they're going to start working and they're going to ship this. Now, if you start missing all those milestones, and then this is a common problem in consulting in general, you miss all those milestones. And then some will say, well, we've been working together for six months and we have nothing to show for it. And you can point very specifically to all those milestones that were missed. So that's the result of not shipping or not meeting the milestones that the SEO didn't work. So as you're meeting those milestones, you can say, well, we launched, and our expectation

was that after the first month of launching, we would have X amount of pages indexed. Did we meet or did we miss that milestone? And then you can say SEO is working at a small scale. And I've seen in many companies, it takes a really long time. But eventually, when you look back, you see like this hockey stick. But while you're in it, you don't necessarily see that. Awesome. Okay. Okay, let me share an example of one that worked really quickly. So this was also an interesting one. And I was at SurveyMonkey and I was introduced to the CEO of Quora, who was interested in doing more SEO.

So Quora had never done SEO or never done SEO effectively from a product standpoint. And there were a couple things I was able to recommend to them. And within three months, they had quadruple traffic. So it really will depend on what is it that holding things back in Quarveld Quora's case, they weren't showing any answers. So they were really pushing to get people to log in before they saw any answers. So I encouraged them to show the answers. Yes, they were going to be giving answers for free, but they were also going to be giving answers to Google. So that was number one, that they were able to quadruple traffic. And the second thing is they had no way that Google could

navigate within the site. So when you came to Quora, and it's like this again. So they reversed the suggestion I made, but it was, I think it was 12 years ago. So when you came to Quora, And when you come to Cora today, you see related questions. So you see a question and then there's related questions. And that's the way a bot or a human will navigate through the site. If they create a site map, they did this in the past. And if Cora is listening and you should do this again, if you create a categorized site map where you can say these are all the questions on health.

And from this site map, again, it's HTML site map, not just an XML site map. And even a user can navigate through it. This is health. And this is Health Page 1 and Health Page 2. and you can navigate through this entire site, then a search engine can navigate through the entire site, and all of the questions and answers are discoverable. So when I made that suggestion to them,

within a couple months, they were able to quadruple traffic. There's so much here, and there's so many valuable insights. One that I think is really recurring, that I think is really important to people, is the point that you're making about your SEO content, pages should be a product,

aka it should solve problems for people as they're trying to understand the space and this potential problem they have. So correct me if I'm wrong, but kind of the advice you're sharing is there's less opportunity in just generating tons of blog posts that just have a bunch of content. And the opportunity is more things like

Zapier and Canva with templates and Notion and Quora where it's just like, here's the answer. It's just like actually help them solve the problem. And with that, here's our product and help you solve that problem further. Is that? It's really building a product around what the company is attempting to monetize.

So Canva's building templates because then they're going on to monetize that templates by having other people build off those templates with upgrades and subscriptions. But if a company was like, let's say there was an enterprise version of Canva and they didn't monetize those templates. So putting out a bunch of free content on the internet that just looked good wouldn't benefit. So it always comes down to what is it, what is the product that you want to use? Like when I mentioned that templates we did SurveyMonkey, is a survey product.

If someone looked for a template of a survey, they wanted to make a survey. So we were not a survey product and we just monetized off the survey templates that would not have done anything for us. So copying someone else's version of programmatic doesn't do anything. And generally doing programmatic for the sake of programmatic,

so just to have content wouldn't do anything unless that programmatic fed you into exactly what your product did. So Zapier, they did programmatic. it feeds you into making other zaps between different products. Tinder, we did programmatic. It fed you into, oh, you would like to solve your lonely. We showed you that your loneliness problem is solvable in the city you're in. You have to solve that problem by downloading the Tinder app.

And I've never used Tinder. I only used it from a marketing standpoint. But if you Tinder gates you. So if you'd like to get the advanced Tinder experience, you have to pay. And again, it's all part of that buyer journey. anything you're building SEO for, it has to be a piece of that buyer journey. So programmatic, blog posts, anything you're doing, if there is no product journey for it, there's no user journey, it just stops. That's an amazing clarification. So again, it's another point you've been making

of traffic alone is not valuable if it doesn't convert. And so you can look at a Canva, you can look at a notion and your table with all these templates, copy that. But if that isn't the thing people will buy from you and monetize, it's not going to be worth doing. Yes, awesome. I'm excited to chat with Christina Gilbert, the founder of One Schema, one of our longtime podcast sponsors. Hi, Christina. Yes, thank you for having me on, Lenny.

What is the latest with One Schema? I know you now work with some of my favorite companies like Ramp, Vanta, Scale, and Watershed. I heard that you just launched a new product to help product teams import CSVs from especially tricky systems like ERPs. Yes, so we just launched One Schema File Feeds, which allows. allows you to build an integration with any system in 15 minutes as long as you can export a CSV to an SFTP folder. We see our customers all the time getting stuck with hacks and workarounds, and the product teams that we work with don't have to turn down prospects because their systems are too hard to integrate with. We allow our customers to offer thousands of integrations without involving their engineering team at all.

I can tell you that if my team had to build integrations like this, how nice would it be to be able to take this off my roadmap and instead use something like one schema and not just to build it, but also to maintain it forever. Absolutely, Lenny. We've heard so many four stories of multi-day outages from even just a handful of ad records. We are laser focused on integration reliability to help teams end all of those distractions that come up with integrations. We have a built-in validation layer that stops any bad data from entering your system, and one schema will notify your team immediately of any data that looks incorrect.

I know that importing incorrect data can cause all kinds of pain for your customers and quickly lose their trust. Christina, thank you for joining us. And if you want to learn more, head on over to OneSchema.co. That's Oneschema.co. Okay, so coming back to AI and its impact on SEO, can you use AI to help you with this and use AI to create content for you? So, AI is a tool.

Everyone says AI is a tool. It's not a solution. So you can use AI to create content if the content you're creating is a part of that journey. So, for example, before AI content really came on the scene, because AI's been around for a while, Jasper's been around for a while, writer's been around for a while and before chat EBT. So before these tools, a lot of ways that companies created content for cheap is they went on Fiverr and they went on Upwork and they just created content. So a lot of that content completely worthless. So if you're just creating content for the sake of content and you paid someone

on Upwork, $50 to the content, now you can use an AI tool and just create the content the same worthless content for free. So AI as a tool is a tool creating something that's not necessarily useful for the end journey of the company and for the user journey in general. However, if the content you were creating was pretty useful, and now you're using AI to create really useful content for cheaper and better, of course you can use it. So an example of a place you can use AI content is if you're an easy, e-commerce site and you're selling your own products, of course you can use AI content to write

product descriptions. It's not a content website. So there's a lot of big companies out there. And if anybody wants to look at some of the e-commerce sites and how they do SEO, a lot of them have large SEO teams, you know, the typical JCPenney, the Nordstroms, the Macy's, they have a lot of content on their category pages. But if you look at the keywords that drive traffic to those pages, it's the products on the pages. So if you're looking for shoes, the fact that a macy's dot com page will have a lot of

content about what shoes do doesn't do anything for the user. They're just looking for shoes, and then there's shoes on the page. And I think Macy's actually ranks pretty well on those kinds of things. So using AI content to write more fluff content that's not necessary, it would just be a waste of time. But using AI content to feed in a product and describe what that product is and maybe some features of that product, which help a user. That's not hurting your SEO because what you're trying to optimize for is the product and the product name itself. Got it. So basically less, don't use AI to generate entire block posts. I know people are doing this all over the place, but absolutely leverage AI to help you add to existing pages, descriptions,

titles, things like that, which I can see why Google, like Google would have no idea that you were helped to write this thing with AI, right? If it's just like a small part of the page, versus the entire page. And in their documentation, they say that AI itself is not the problem. It's the helpfulness, the usefulness of the content that would be a problem. Do you have to name names or reveal anything, but do you know a bunch of companies using AI now to generate tons of high successful pages, high converting pages in some way, in this way?

There's this hatred of AI content by users in general. And I think once companies declare that they're using AI, people get upset about it. So it was a Red Ventures company. I think it was CNET that said they were using AI to create content. And I think they got in trouble because they said they were using AI to create content. But if they had not said they're using AI to create content, I think their entire model would have been very successful because there's no reason you can't take in, they take 10 products and they want to review 10 different products.

There's no reason you can't tie that all together, have AI write the original piece of content, and then have a human editor just review it. I don't know, years ago, it's not AI, but it's sort of like AI, but there are sports websites that will take in a lot of the things that happen in the sports game to merge it all together into a piece of content. If you look at any earnings reports on public companies, it's sort of the same thing. Their company will issue the file their earnings report. And then now it's AI, but before AI, it was basically like Madlib's kind of content.

It would extract pieces of the earnings report and write a blog post, which is actually fairly useful. So I don't think there's an issue with it itself. I don't think users have an issue with it. I think if you read that old piece of content, again, on earnings reports, it's pretty obvious that it wasn't written by a financial journalist. But it was useful. You got a quick summary. You didn't have to go into like the SEC and read an earnings report. There's this guy, Noah Smith. He's on Twitter. He's got a newsletter called No Opinions. Awesome. And he had this tweet about how we're approaching an age of a ton of slop of content, just a lot of really, really, bad content generated by AI for better or worse.

This is unrelated to SEO, but it makes me think about just like how much bad stuff we're going to see. But to your point, it doesn't matter whether it was generated by AI or not. People will gravitate towards and Google will gravitate towards stuff that is useful and good, whether it's written by people or not. And this is a huge issue for Google because the amount of content being created is enormous and it's growing exponentially. and Google's trying to crawl everything,

they now have more content to crawl, which becomes more expensive for Google, and which is why you have this backlash by Google against many websites, because they're trying to clean the index to save their own costs and to protect the users from having to see this awful content. The crazy thing for LLMs is now to be trained.

They're trained on content on the internet in a big way, and they're struggling with not training their LLMs on stuff that AI has written because it becomes this bad. a bad trend, a bad direction that LMs will go. They're trained on themselves. Anyway, something I wanted to come back to around AI, which is AI overviews. So I imagine many people are like, how do I get into that answer?

How do I get my product into the answer that Google gives at the top? Is that something you recommend people try to do? Is that something you can do? So I think of AI as or AI overviews as a branding exercise. So getting into the AI review, and Google has links. I mentioned this earlier, that Google has links within the content. And I think a lot of what Google does is around potentially liability protection, so they're having links.

So they're saying, well, we didn't tell you to jump off the Golden Gate Bridge. This website, which we summarized, told you to jump off the Golden Gate Bridge, or we didn't plagiarized. We just linked to the piece of content. We may have extracted more from the content than we were supposed to, and the law hasn't decided that yet. But we linked to it. So it's fair.

So right now Google has these links in the content and it, it sort of links off of it. I did a survey on LinkedIn and I was surprised by the answer. I thought most people did not click on the links. I got a couple hundred responses and it's sort of 50-50. And based on my survey mickey experience, it's not a statistically significant survey in general, but it will never go to 99% one. So like that's fairly indicative that people are clicking the links, which surprises me. because I don't think that the links are necessarily meant by Google to be useful,

which means that AI overview is essentially duplicating search results. So you have this AI review, which summarizes it, then you have a link so you can link off of it, and then beneath it, you sort of have the exact same thing. And that's the challenge that Google has to work through. So for companies show up in AI overview, it's a brand challenge. So if your link shows up there, then you likely were showing up beneath it in the ranking results, so you've already done the work you're supposed to do. But if you're showing up an AI overview mentioned as a brand,

like these are the top CRM tools. You're showing up as a brand. That means you've exercised brand efforts and it's working out. So I don't know that companies necessarily want their content to show up because they're giving way their content for free. They want to be showing up in a way that benefits them. So if you show up as a brand, you've done good branding. If you show up as a link, it means Google stolen your content

and people may or may not click off of it. Along this lines of brand and SEO, do you have any, that's always this question of like, are we investing in brand? Do we just want people to be aware we exist or are we trying to actually drive conversion? Any advice on how to think about brand building and SEO, especially with this world of AI? I mean, the biggest myth in SEO is that you could just build links and link building is the secret source and the secret sauce to like growing your SEO footprint. And that's totally wrong because the way most. people build links as they buy these guest posts or they pay for links on low authority websites

that sort of look like they might have authority. And it doesn't really benefit anyone because no one's reading these sites. And it's funny that everyone complain about Google as this really, really smart, all-knowing LLM and the same time they think they're dumb enough to fall for these guest posts that are on websites that don't really read. The right way to build links is to build a brand. So it comes part and parcel of what you're trying to do. So if you're building links and going back to all the SaaS examples we talked about. So if you've created a bunch of content that is not relevant for the product you're trying to sell, building links to the content that doesn't really benefit the product, doesn't really benefit,

the links don't benefit the product. But if you can build this product that's awesome and everyone loves and wants to use, and you get not links, but mentions, and links might be mentions now, right? because the way a link before LLMs and the link, you know, 10 years ago was actually an HTML link. And now Google can read content so they can say, well, you've been mentioned here. That's pretty good. So now we acknowledge that this might be the brand and this might be the match for that kind of thing. So that's helping to build that brand.

So in general, I think of any SEO effort as promoting a brand, building up a brand, rather than building a product and then separately building out an SEO effort, which has content that may not be relevant, and links from websites that are certainly not relevant to content that's not relevant. So it all comes together as being one big effort. So the same thing you'll do on PR, you'll do for SEO. Awesome. Okay, I'm glad we touched that.

There's a few other directions I want to go. So I'm going to bounce around a little bit and cover some of the other stuff. I want to extract from your deep experience in the space. one is you've mentioned this idea of pragmatic, programmatic SEO a couple times versus editorial. What's your, maybe first just clarify what those two directions are just for people that don't exactly know what you mean. And then two, what's your general advice for which direction to go programmatic or

editorial? It might be obvious at this point, but I'm going to say it's dependent on the user. But essentially what programmatic is, is it's taking a bunch of data sources and building out a page that is a combination of all these data sources. So in my book, I talk about two of my favorite programmatic SEO companies. One of them was created by a past, well, it's not created that the strategy was created by a past guest as yours, Luke Leveck, who introduced us. And that was TripAdvisor. So TripAdvisor took in all these data sources of this is the hotel, these are the cities. and then it allowed UGC to combine into one comprehensive page about each property.

So TripAdvisor did not write a piece of content on every single hotel. They don't write a piece of content on, here's this long-form blog post as an influencer on the Waldorf Astoria, New York, and here's a long-form blog post about the Marriott Marquis in San Francisco. They built it all from a programmatic standpoint. They took all these datasets. They took all the countries in the world. They took all the properties.

and they merged into one comprehensive page, which has dominated the top of search results since the beginning of the time, right? And they still own it. And that team has cycled through many, many leaders, many different, you know, a lot of different things. And they're still number ones. It's the strategy that has allowed them to build that brand it to dominate it.

The second example is Zillow. So what Zillow did is they solved an early problem many years ago in the real estate space, which is no one understood what the very, value of a piece of property was. So Zillow took in all of those data sets. So they got some of them are government data sets. Some of them are their own comparison data sets based on other home sales. So the government can say a house is worth one price. And based on their comparison, Zillow can completely disagree with it. So they're building in these data sets and they're

taking photos from realtors. They're taking neighborhood data. They're taking school data. And that's a programmatic SEO page. And SEO is the only channel to bring in traffic to each one of these pages. They're not going to do pay traffic for my house. They're not going to do pay traffic for your house. The only way someone would find that page on Zillow, either they start at Zillow.com and then is navigate through it or they Google it. So those are programmatic SEO efforts. On the flip side is editorial. So editorial would be in TripAdvisor's case writing out that long form piece of content around each hotel, each city, and all the things they've done. Zillow would be the same. They were Zila would take 500 million properties and write out an editorial piece of content.

Neither of those would be a fit for their model and it would be extremely expensive. So say each piece of content would cost $1,000, that would be cost prohibitive for anyone to do. So going back to my distinction based on the user, what is it that the user is looking for? So is the user looking for the value of a home? They don't need a long form piece of content. They need a piece of content or a page that just says what the value that home is. Tribut advisor's case, they're looking for a single thing or rating, or maybe they need some of that UGC, but really they're looking for that rating, that long-form piece of content. There's a purpose for it, but not on TripAdvisor's site. So understanding what is it that the user needs will help solve, do you approach us

from an editorial standpoint or do you approach us from a programmatic standpoint? Some of the companies I mentioned earlier, like G2 and Kaptara, which are completely being disrupted. So they're being disrupted by editorial, but they're also being disrupted by Google itself with their AI overviews. So if you look for the top CRM tools, you have G2, where you have Keptara, but you also have Forbes writing out a long form piece of content on what Salesforce is, what the HubSpot is. And that's probably unnecessary. So I think like generally you would, programmatic is the better path and the most common success path is what I'm hearing. What are things you need in place to be successful in programmatic

SEO? Like basically you just need some sort of data source that you own, right? Is that just what's like a checklist of like here's what tells you you have a big opportunity here? So programmatic is the right solution when there's scale and when there's a user use case. If there is not, you create scale for nothing. So an earlier version of programmatic, again, pre a lot of the internet company now is building out a piece of content for every single zip code in America. So say you offer some sort of local product, you would build out a page for every single zip code that is in theory programmatic, but users don't look for it. And Google has completely disrupted that with their own local products. So programmatic can always be something. I see

programmatic mistakes all the time where websites look at, you know, they say, look, we're making reviews of software, there's 10,000 different softwares in the world, we're just going to make out a page for each one and we're going to combine it with, I don't know, a city. So you can make programmatic pages like that, but there's no use case. So really knowing what programmatic solution you use comes

down to, is this something that someone would actually be looking for? Does this page itself provide a solution? So Zapier provided a solution because someone was looking for that combination, but there are many tools like Zapier, which try to be Zapier, but they're not looking for that

solution. And going back to some of the template companies you mentioned, I don't think a lot of companies that make templates, they're doing, they're making programmatic, but there's not a use case for every single one of those templates. So they've made programmatic for no purpose. So again, SurveyMonkey was one where we had a fat head of templates we could make, but it wasn't a long tail. So we could make, you know, 100 templates, but we couldn't make 10,000. I want to do a rapid fire of SEO myths, but before I do that, But I know that you spent a lot of time actually reading the recent ruling against Google and their whole deal with Apple.

And you were telling me you revealed there were a lot of interesting stuff about their strategy and where searches are going. So let's spend a little time here. What did you learn doing that exercise? So it's fascinating. It's 286 pages. So I basically read a book. It was a verdict.

And I would say that the judge or the clerk that wrote this verdict has a better understanding how the SEO works and how digital marketing works than most people I meet in digital marketing. I did not expect to hear that. Yes, so this verdict explains how Google decides to rank a page. The verdict explains how the auction model works in

ads in Google ads. I think that's fascinating. Talked about the comparison between social media. Like, this court really understood a lot of the questions that were posted. So, for example, Google tried to say that they're not a monopoly because they're social media. And the court

analyzed that question and says social media is not a comparison to Google search. Google tried to say a lot of the things they did were non-monopolistic because there's alternatives like Bing. And the court really analyzed a lot of these things. So where I found it fascinating was, again, a lot of the testimony was public, is the summary of how the court put it all together and a verdict. So a few of the things I learned is, one, the market share, Google's market share. So that's been a number that no one really like. to talk about. Google would say, oh, you know, we think it's like 80% because they didn't want to be viewed as a monopoly. And Microsoft would say, well, maybe we have 20%. And they just found

a recent document for Microsoft where they claim to have like a lot of market share in search. And in the verdict, it says that Google has 98% of mobile searches. So I forget whether it said that the court said it and they said Google didn't disagree or that came from Google's own documentation, but 98% of mobile searches. The thing that I thought was most fascinating from the verdict is how much the default partnerships that Google has contributes to Google's success. So the plaintiff in the case was the Department of Justice suing Google for being a monopoly. However, I don't know what the word is, but like one of the complainants in this is this company

Neva, which was a search engine started by a past Google, I think he was like a head of research or something, a senior person at Google created a new search engine. and a lot of the trial was focused on how Niva could not be successful, despite having a better search engine, despite having a better experience for users, because they didn't have any these default distribution agreements. So that's the part that I thought was most fascinating. Google has these default agreements with Apple, and they also have Chrome, and they have all these inputs into Google searches, which means that I don't think there's a chance, and this is the biggest day. it, I don't think there's a chance that chatGBT or perplexity or Claude or any of these other LLM startups, because they're startups now, even Open AI is a startup with Bing's, with Microsoft's investment, still a startup. I don't think they have a chance at really unseating Google purely

from a quality standpoint. And that's what a lot of the documentation in this verdict was about is how much a force of habit, how much the brand and how much the distribution agreements Google has drives searchers to Google. And there were a couple of very interesting insights. One is that Bing tried to give itself to Apple for free. And Apple said there was absolutely no price that they would take to use Bing search within Apple. Another one was Mozilla had a partnership with, I think it was Yahoo. And they did a rev share deal with Yahoo and everyone switched back to Google.

So when people say, well, SEO is dead. Everyone's going to go to Open AI. and you just look at the 25 years of Google's existence and what they've built. I really don't think so. I really think distribution and the force of brand will keep almost everything Google has today. Now, why is Google fighting back so hard to build AI overviews? Well, I think there's two answers. One is, like I said, Wall Street, like they really want Wall Street to think that they care

and they're doing this thing. And the other is losing small percentage points to Chatchebt. It costs Google a lot of money, so it's worth it for them to invest in it. But I don't think that they have any fear about not being the most dominant search engine in the world. Well, isn't the idea with this trial that this may change and they may lose that default status, whether it happens or not, that's the whole game here, right? It's like maybe they can't be that anymore. And that maybe opens up.

So I think that's the opportunity. I don't think so. Yeah, that's, I mean, I'm no legal expert. I don't know what the DOJ will do. But what's interesting, if you saw like Google's press release when the verdict came out, So Google tweeted, we thank the court for recognizing that we're the greatest search engine in the world and more to come, right? Like they're going to fight back. And it's almost like, you know, a bully being declared the world's greatest bully. And they're like, see, told you we're strong. Like, but when reading the verdict, it actually said there is no competitor. Google is the greatest search engine. They have 25 years of great data. Like they've done a fantastic job. So I don't see any way that there was deep like if they break the default agreements, Apple actually loses all that money, Google. is paying, and then users will still Google.

So that's not what we'll do it. I think the only thing they can do is figure how to prop up a competitor. Yeah. So I think that's an interesting takeaway. People will go to Google. We'll switch to Google, even if it's not the default. There's actually a really interesting take away from Ben Thompson's analysis of the stuff, and I will point to the podcast episode.

So I think that shifted my perspective on this, because when you hear Google is paying Apple to be the default search engine, it sounds nefarious and unfair. The deal is actually revenue share. they give them a percentage of the revenue from the ads, which ends up being $20 billion, something like that. A lot of money for Apple. And so anyone else can come to Apple and say, we will give you a revenue share of our searches also.

It's just nobody is as big and can pay as much. And if you think about it, why can't Google come to Apple? Hey, we will send you tons of money by doing the search for you and giving you a large percentage of the ads that we are doing for you. Like, it's weird to not allow that if you really think about it, but it's also unfair because no one else will ever be able to compete with that. Yeah, and that's what the court said is like, Neva didn't have a chance because of that. And one other point is, so I did this survey.

This is years ago, and I said survey monkey. I did a search market penetration survey to figure out who used what, like Bing versus Google. And on my survey, I was generous. I threw DuckDuck Go on there. And I came back, I had thousands of responses and came back that I had 1% of people used Duck.como. So I didn't realize that Duck. Doe did actually know what their market penetration was.

So when I shared the survey, Gabriel Weinberger is the CEO of Duck. Dot Go hit me on Twitter and he said, can you share the data with us? Because we really would like to see it. So this was, let's say, 10, 12 years ago. In the verdict, it said that Duck, Duck Go's market share is 2%. So I came back with 1% 12 years ago. Duck, Duck Go, I think they raised $100 million. They have all these brand partnerships.

They have like, you know, at baseball games, they have their logo. They're done everything. And all they've been able to do is get from 1% to 2%. So there's a lot there. And Google being Google, I don't see anyone knocking them off. Fascinating. Well, thanks for sharing your takeaway so that we don't have to read this report. Before I move to Rapid Fire SEO Myths, is there anything else along the lines of

AI or SEO that you think is really important to share that you want to leave listeners with? I think the most important thing to leave people with is that SEO is not dying. There will always be a world where users are requesting their own information. So one of the reasons I think these home assistants, whether it's from Google or Apple or Amazon, have never taken off, is because you don't have choice. You talk to your Google and it gives you only one answer. you talk to Amazon and it gives you only one answer. Like, I want to buy toilet paper and Amazon just buys you, whatever it decides to buy you.

There will always be a world where there needs choice. And one other piece from the verdict is Google believes that we're in the very early days of LLMs. And even with all the machine learning they do on understanding users, you will always need real user data, which Google has on past searches. So I think users will always be requesting their own information and there's never going to be an AI that understands you so perfectly. it's going to know that for you personally, you would like to click result number five. That's the best fit for what you're looking for right now, which means that there always needs to be multiple choices to make.

So yes, most clicks are probably going through the first, you know, one, two or three results, but there needs to be seven, ten multiple pages of Google because some people do go to those other pages. So I think that's the most important thing to underscore is that all of this means that search change, changes, a lot of top of funnel search goes away, but in general, there's always going to be a world where people are doing the searches. And then the last piece on that really is,

when you're looking to do something with search, you're looking to take an action. And companies benefit from those actions. So say you're a hotel and you want people to sleep in your hotel and pay you to sleep in your hotel, the aggregate number of people needing to take that action and pay you for it does not change even if search volume gets cut in it. If you're selling shoes, people still need to buy shoes. If you're selling information though, your media, if you give, if you're WebMD, yes, your revenue declines because that information that you now aggregated and curated and gave away for free in return for people clicking on ads, Google is now going to give away for free in return for no one clicking on ads.

Interesting. I wonder if there's a investment arbitrage opportunity of predicting which businesses will decline with this and which will thrive. Anyway, I want to talk about SEO myths. I know that you have a few things. And we've talked about a few of these, I think, of just things that you know people believe about SEO, but they're actually wrong. So let me just ask you, what are some myths that people get wrong about SEO? Probably the biggest one we said over and over is they even need to do SEO. So there's always default assumption that you've raised money, you have a marketing team, you should do SEO. And I think that one is really worth putting to bed. It's like, think about that user journey. Should you do SEO? And it's a question like they ask about

other channels. Should you do brand marketing? Should you take out an ad in Times Square? And no one will say, well, I just raised a million dollars. I should totally take out an ad in Times Square. And congratulations on me in Times Square, by the way. So I, no one will just decide, oh, I've got money to burn. Let me just burn it. So somehow SEO becomes this thing of like, oh, I've raised money. Now I need an SEO team. So that's, I think, the first myth that's really important to just put to bet. Awesome. What else? Link building. So link building is brand building. So it's thinking about how you're going to build a brand and have people mention to you. And when you're doing the building, you're creating

a relationship between the piece of content that has linked to you and the product or whatever you're trying to monetize. So that should be link building. Just getting the idea of getting links on, you know, an HTML link to will equal SEO success. Again, I think that's completely wrong. And then, I mean, probably the biggest myth in general is thinking that Google itself is a black box. So I think there's nuances to how you rank.

And no one can really unearth what is that will make you be number one and what it is that will make you be number one. But the basic idea of how you build SEO is very simplistic and Google has a best practices guide on what it is that you should be doing, which is build a website that Google can understand, link to the pages in that right content that is helpful and that users want to read. And those are the basics. And starting with that is how you're going to build an SEO strategy that improves upon it. But the idea of if I take all three these steps right now, I'm guaranteed to be number one,

I think is something that is completely incorrect. And there's an assumption that if you do a lot of things around SEO, you're going to be successful. And I think that's incorrect. Yes, there are nuances. But for the most part, you get from, you know, most like zero to 10, you can get to step eight by just doing the best practices. Oh, wow. Sounds very empowering.

I like the sound of that. Maybe just on that new one, on that threat briefly, if someone wanted to start down the road of SEO. I know you're going to be a little bit biased because you help companies with this, but do you recommend bringing someone like you in first or having someone just give it a shot, listening to this podcast, reading some books and blogs, or something else? Yeah. So I am biased. I think they should have the right people give them advice on SEO. So if someone wants to be, if they validated that there is an SEO effort, paying for help on SEO goes back to that resource discussion we had before. So if you want to hire a growth

advisor, a growth advisor might be very expensive, but you squash a learning curve. So you don't make as many mistakes as fast. If you hire someone in-house, and a lot of times I see this with roles where I'm helping companies hire someone for SEO, they don't have a lot of budget, which means they're going to have someone that doesn't have a lot of experience. So is that the right decision to make? If you're hiring an agency, agencies are typically expensive. and agencies a lot of times get paid on deliverables. So are the deliverables they're doing worth paying for? So an easy deliverable that a lot of agencies produce now is content. But it goes back to our earlier discussion. Do you even need the content? It's very easy for

agencies to sell content as deliverable because it's something they actually deliver. Delivering strategy, the way most of my growth advising works, is very difficult because I don't have a strategy to offer in a proposal because I haven't developed a strategy. And we don't actually see the fruits of that until we implement the strategy. But agencies can, you know, and run that by just saying, oh, you pay us on a monthly basis. And these are the things we're going to ship to you. Something that I wanted to touch on, which might be a myth, and might not be a myth. I think you're going to say it's a myth based on what you said about Google being so dominant. There's a lot of talk about TikTok and Instagram or placing search for people. Like,

I actually do search TikTok a lot now for like, how do I, how do I solve this problem? How do I cut a watermelon, how do I, I don't know, find a cup for my baby? Like, it's really good. What's your take on TikTok and Instagram videos basically replacing a lot of searching for Gen Z, especially in, you know, younger kids? So in the Google verdict, I think Google said this before, 63% of Gen Z uses TikTok to search. Oh, wow. But I think that's, yeah, I think that's just a headline number because it comes down to, I've said it over and over in the podcast, user journeys. So there's going to be things that are more appropriate for TikTok or Instagram, and they're going to be things that are more appropriate for search. So I think if you're doing top of funnel discovery,

you're going to maybe watch TikTok videos to learn more about the topic. But as you go into the mid funnel, so say you want to, you know, a popular TikTok search is around travel. So you want to go on a trip. You want to go to Southeast Asia. You don't know where exactly you want to go. so you might want to watch a bunch of videos and see influences and see experiences. But now you're ready to book and you want to book a hotel. You want to book your flights. All of that is not going to happen on TikTok. All of that's going to happen on Google search.

So that's the midfunnel again. So a lot of search will move different places. But ultimately, Google is still the right place to do those searches, to do those midfunnel searches. So maybe it was more inappropriate that Google, ever that there ever wasn't a TikTok for you to get those better experiences. For those top of funnel things, you had to suffer through reading awful content that was written only for SEO purposes. And now you get rich dynamic content that comes from TikTok.

And one interesting piece on this is if TikTok does get banned in the US, which looks like it's likely, a company that will pick up all of that users is YouTube. Right. So YouTube has YouTube shorts. And again, we're looking at a potential monopoly with Google. as Google tries to put those YouTube shorts to solve the problem that TikTok was now solving. So that will be kind of interesting. Oh, man.

Google all the way down. Yes. I thought I had as you were talking about this idea of midfunnel versus top funnel, is a simple way to think about the midf funnel is where there's intent. Like you actually have intent to now buy a thing, specific thing. Yeah. Cool. I mean, that's what it is, but it's a buyer journey.

So at the top of the funnel, you're curious. you don't know if you have intent. And in the older way of doing SEO where you only focused on top of funnel, you only focused on rankings as a KPI, which I think is sort of the incorrect way of doing things, there is no intent. So you showed a KPI that matched with a non-user, which matched with a non-buyer. As you move down the funnel, there is intent. So there is a user and there's less traffic.

There's always going to be less traffic at the middle of funnel. But that doesn't matter because your KPI is closer related. to your business metrics. Let's do a couple more myths. If there's anything else that we missed, and then we'll wrap up and get to a very exciting lightning round, is there anything else that you think is an important myth that people get wrong about SEO? I'll touch on one more myth,

which is that technical SEO is an easy solve to any SEO problems. So there's been a lot of Google updates recently. I think I don't like to defend Google because in reading the verdict, I think that Google did some pretty evil things. But a lot of what Google has been doing is pushing back on the things that users hate. There's a lot of bad SEO content out there. So Google's trying to get rid of a lot of this bad SEO content in their recent updates. When sites get hit by these updates, they try to solve the problem that they think

happen to them by doing technical SEO. So they'll reach out to me or to someone like me and say, can you do an SEO audit and understand why our traffic has suffered? The reason the traffic has suffered is because they've done things that were not really useful for users and they sort of polluted Google. They need to solve that problem. So technical SEO has a place. So if you have a large website with tens of millions of pages, if you're Zillow, how you link to each listing, if you're Airbnb, how you link and allow Google to crawl a site and understand a site, very, very important. If you have a 100-page website that sells a SaaS tool, technical SEO is probably going to be less important.

So spending money in time on technical SEO would be a waste of time. So I think that's another big myth is you solve SEO problems with the right SEO solution rather than let's do an audit or let's get better links or my page speed is another one that agencies like to sell on things related to page speed. Google keeps changing the words of what that is. But it doesn't matter as much because at the margins, yes, maybe if you're kayaking and you're competing and get expedited. and kayak is maybe slightly faster, maybe that matters.

But if you're in a space where you're competing against lots of slow, terrible websites, it doesn't matter at all. So spending a lot of money on making that fix is not the right thing to do. And like I just make SEO feel much more approachable and simple and something that you could just do and not have to, again, figure out the dark arts that. It is not a dark art. It should be for most things it is. simple. And then there are tons of companies out there get in a lot of trouble and there's

billions of dollars to be made on doing the right SEO, but a lot of can be unlocked by very simplistic SEO. PMs that don't really have an SEO background can do enough SEO to make a lot of money for the company without needing me an SEO expert. I love that. That's actually how worked at Airbnb. The PMs work in SEO. We're not like historically SEO legends. They were just PMs figuring out SEO and they had a really big impact. So that really resonates with me. Eli, is there anything else that we haven't touched on that you think is important to you or something that you think might be useful to people to leave them with before we get to our very exciting lightning ram?

Yes. So I think we talked about how to decide whether to resource SEO, but we didn't talk about how to understand what the expectations are from SEO. So this is something I came up with while I was working at Fair, which is a very interesting company. So it's F-A-I-R-E. They are a wholesale Shopify. So they were launching in a new country, and they wanted to understand what the upside of launching in that country was from an SEO stamp.

So the way most people do SEO forecasting is they do a bottoms up forecast, which is they look at keywords. So say we want to sell a pair of shoes. So you do a bottoms up forecast. You go on to a keyword research tool, and they're all fairly the same. look at how many people search for shoes every month, and then you try to estimate what your ranking would be on that word shoes, and then you estimate what you click through rate would be, and then based on that, that's your clicks, and then you get a conversion rate, and that's your bottoms up. And you make an assumption that the word shoes in that tool didn't capture

all the people, all that search like white shoes and black shoes and running shoes. So you just gross it up. You just pick a number and you gross it by like 10. And that's your SEO forecast. Now the problem with that is that usually it's too small. So you get this number and now you're pitching to like launch in a new country. I want to launch in Japan and sell shoes. And you say, well, I think I can get 500 users because based on the way I got here, this is my click through rate and this is my rankings and I'm 500 users. And no one will ever fund that.

That's too small. Now if you're launching in a new country, it's actually fairly easy to figure out what your SEO upside is because you can take the population in the country. So this is not something fair sells. So I don't have to, I'm not giving away anything. But say you're launching shoes, you're launching a new product website that you're selling shoes in a country like Japan. So I'm going to guess.

I don't know the actual numbers for Japan. So say Japan has 100 million people and you're selling shoes. And you're not going to sell shoes to 100 million people. We're only selling shoes to men and let's just divide in half. So 50% of Japan is men. So we got 50 million people that would buy shoes. But now we're also going to say, well, there's older people and younger people. not selling shoes to them. So now we're going to take $25 million and cut that in half. And then from there,

we're again, we're selling shoes on the internet. Not everyone buys shoes on the internet. Some people buy shoes in a store. Some people buy shoes on the internet. So you take some percentage rate of the amount of people that are going to buy shoes on the internet and say, we'll take 10% of our 25 billion people in our market, two and a half million people buy shoes on the internet. And we want to do SEO for two and a half million people. And our expectation is we want to get this number of market penetration, whether it's 10% or 50% or 100% and there's your number and multiply that number by the amount of shoes they're going to buy every year and your AOV, and there's your forecast. And that may be inexact and you can tweak those numbers up or down.

You can say, well, my AOV was wrong. My market penetration was wrong. I was wrong in the total population. I didn't realize that in Japan, no one bought shoes on the internet. But at any point in time, you can go back and adjust your forecast, whereas if you're doing this bottoms up forecast, it's actually, in many cases, wrong to begin with because the keyword research volume is wrong. Like I worked with some really fascinating companies where the largest query in their space was the biggest query.

So I worked with WordPress. So WordPress, the word WordPress is the biggest query in the web development space as itself, right? Like there's no other word that's the biggest WordPress. And the number that every single keyword research, tool had was completely wrong of what Google search console said for the word WordPresses. So when you're building these forecasts based on keyword research tools, that first number that you build the entire forecast off of, if it's wrong, your forecast is wrong.

So when you do this top down, it's a tam forecast essentially. When you do a top down, you're closer to the truth. Now you probably aren't going to get to the truth. I've never seen a product plan get to the truth of what it could do, but it will help you make a better decision than if you just guess. Wow. This is a massive insight you're sharing. So you're saying the keyword research tools are not actually that accurate in terms of

the opportunity there. And why is that? That begs the question. Why are they so off? What are they doing wrong? What are they missing? They have their own secret sauce for estimations. So even Google for, again, for past monopolistic reasons, Google's not allowed to give

their real number that they see on Google ads for how many people search it. they have to buy it from another data source and then give that out. I forget why. So they're all basically guessing. So they're using whatever sort of proprietary algorithms to guess, which is why a lot of them are not aligned because they have their own algorithms. So you're using whether it's Sumrush or H-Refs. One of my favorite tools is Similar Web,

which Similar Web has a lot of browser plugins, which snoop on the way people are searching. So whatever it is that they're, because Similar Web has browser plugin, but they're not seeing every single person search. so they have to use algorithms to estimate how much the entire world would be. And again, I don't know that any of them can get close to truth was when I've worked with big companies where there were keywords that I could look at Google Search Console.

Some of them, the tools were overestimating by 10 times. Sometimes they're underestimating by 10 times. So I'm not saying they didn't get the exact monthly number wrong. I'm saying they got it wrong by many factors. Wow. That's crazy. So your advice is like, do you just ignore those numbers? Or is it just like check it out, but don't roll it, don't use that number? They're indicative.

So I would say if you want to know, like, do most people spell WordPress with a space or WordPress without a space, it's pretty indicative that people spell it without a space. But if I were building a forecast and say, oh, I absolutely choose this based on this defined number, I don't think so. I can use it for normalization. And I use them only for normalization to understand like how do people search. And I really like user journeys and they're helpful for understanding user journey. But as an exact science, it's hard to really use that.

That's wild. And so it's mostly useful for order magnitude and they're comparing one keyword to another relativeness bit. Okay. Interesting. I mean, I have a great example of how wrong it could be in estimating traffic. So there's a company I was working with early in COVID. Their board member, the public company, their board member emailed them and said,

you guys are getting crushed by your competitors in COVID because look at all, look at your competitors, I'm looking at one of these tools, and you're at the bottom, and you're doing everything wrong. And the CMO says, what do I, what do I tell this board member? I said the board member is completely wrong. This is the Google search console. And Google search console is not perfect, but it is, again, it's real data. And our Google search console shows that our traffic has quadrupled in COVID. So it doesn't really matter what this external tool shows. So they're helpful. Tools are helpful, but I don't think they are a source of actual truth. Wow. That's an awesome point in closing. One thing I had noted here that I want to make sure you have a chance to talk about

is just you're really passionate about helping people get into SEO and also just becoming advisors the way you are. Share what you want to, what you think might be useful to people along these lines. So as my own forecast and prediction, I think the need for SEO expertise is going to explode because a lot of what is happening in the search layouts is going to mean that companies have to pivot their approaches. So a lot, again, companies focus on rankings. They focus on traffic. And a lot of that goes away. Suddenly, the layout changes, the traffic changes. It's not necessarily going to impact their bottom lines if their SEO wasn't a right fit. So this is going to create a lot of interest in SEO help. And I'm seeing this. Over the last year,

my own inbound has really grown because there's a lot of questions as things. shake out. So there will be people that want to go into SEO consulting, and I think there's going to be a huge need for it and growth advising in general. What I would say is, and I had amazing mentors along the way, some of your past guests like Casey Winters and Yuri Timin, even Smith, they're all guests with great episodes, but they advised me and they share with me not on how to be a better operator, but on how to do sales better, how to propose better. And for anyone out there that wants to become a growth advisor, I'd say that that's the skill you really want to perfect. Communication, sales, proposals, and not really worry about being the best operator.

You should be the best operator, but that's probably the skills you already have. And don't make an assumption that because you're a good operator today, you'll also be a great growth advisor. Build that growth advising muscle by staying in your day job, don't quit your day job, and moonlighting and practice selling, closing, working, retaining. and that's where you'll, if you're successful there, you can be successful on your own. Amazing. And I know you have some posts that get into the stuff that will link to you, right? Yeah.

Awesome. It's kind of think of yourself as a product and the journey of working with you. Yes, you're building a brand. You're not building a consultancy. I love that. Eli, this has been amazing. And with that, we reached our very exciting lightning round. Are you ready? Absolutely. Here we go. First question. What are two? two or three books that you've recommended most to other people? As has been apparent, I really like user journeys and understanding people.

So there's a book called Small Data by, I think, Martin Lindstrom, I'm pronouncing his name right, where he talks about understanding people and understanding how people buy, and he digs into that entire process. He actually goes and lives in people's houses and watch how they use different tools and toys. I always find that book to be fascinating, recommend to people who want to understand users. the Simon Sneck start with why again same idea really understand what a product a business is supposed to be doing to understand users for growth this is specifically for growth advisors and not necessarily for PMs but million dollar consultant it's a book I read recommended actually by Ethan Smith many years ago fascinating book on how to build a brand and become a growth advisor I ended up working with the author as a coach for almost a year a amazing book. And then the last book that would be remiss and not recommending is my wife's book, which is how to stop caring what others think for real. So it is a book for precisely that.

Understanding your own success is not worry about what other people think about. Beautiful. Is that in the background, by the way? And if not, you've got to put it in your background, your wife's book. My wife made the background. So yes, it is in the background. Which one is it? Which color? Just so people recognize it. Oh, the big one right there. I was wondering why that one was a little taller than the rest. Yes, this is the buck here. There it is. Wait, move it up a little bit so we can see the full cover. Oh, beautiful. Stop carrying what other

stink. Beautiful. I need that. For real. I like the ends like but for real. For real. I love it. Okay. It may or may not be a Google search query. Oh, man. I see. I see what happened there. Genius. Okay, next question. Do you have a favorite

recent movie or TV show you've really enjoyed? I was on a plane and I saw this movie, Blackberry, and it looked like a documentary. So I don't know if you've seen it, but it was fascinating because it's one of those movies that it has a cliffhanger and you know exactly how it ends. And it is such a fascinating movie. I didn't know all that history, but it was they owned the entire smartphone industry and they went to zero. And it really charted that journey. And it makes you think like you can never really rest on your laurels. You have to create a product people want and understand your users and keep selling that product and not be like,

well, we're number one, this will never go away. And great movie. So funny. It was just recommended by another guest very recently. So there's trending up. It's been around for maybe a year at this point. Yeah, I never would have watched it if it wasn't on a plane. It was totally seemed like a plane movie, but it was perfect. Yeah, and I watched it at home.

And I love just like the technical, like, their ability to find clever ways to use the cell networks that felt like impossible. And that's what allowed them to. you always like the messaging and things like that. That was really fascinating because I didn't realize they basically like reverse engineer the way they sell networks worked. Did allow what they allowed. Yeah, awesome movie and crazy story.

Next question. Do you have a favorite recent product that you've recently discovered that you really love? Could be an app. Could be some physical. You know, it's not a recent product. And it's like the kind of thing I fall in love with over and over again. And it might be cliche, but it's my phone. So I recently traveled in Southeast Asia.

I lived there for a little bit. So I hadn't been back in eight years. And the things I was able to do with my phone, like traveling, like Google Maps and Ways and ordering food, like I went from multiple countries and I was able to use like the same app to like book rides and like make payments. And like it was so useful. Like eight years ago and I was there and I had to like buy a SIM card and my phone didn't really work and I couldn't make payments. And it changed my entire experience. I almost didn't like need a computer. So like falling in love with my phone again. And then another one that It's not necessarily recent, but I absolutely love, which is grammarly.

So I like writing. I write all my own stuff. I don't write with AI. Grammarly helps me to be a better writer. You know what I've realized about Grammarly recently? I just upgraded to their pro plan. They're like the best product at upselling you on their paid plan because they're just like right there in your face all the time.

Hey, we have stuff. We have so many tips for you. We just have so much we can improve. Just pay 100 whatever bucks. And we have so much advice to make all you're writing so much. better. And it's like right there in your face all the time. So like they're so good at it. And they got me. They got me. And I'm happy. You know, it's not like that much money in the scheme of things. If you're doing this full time. I'm so embarrassed when I use Gramerly on my book and like it just like shows up

all blue and green. I'm like, oh man. If only I had known. So I actually have a copywriter on my newsletter who's like incredible. She finds like a hundred things every time to improve that even when I think it's perfect. And interestingly, she doesn't do what Grammarly. adjust in like more cases than I would expect. So that's kind of interesting. I'm finding. But anyway, yeah, grammar is great. I use it all the time.

Two more questions. Do you have a favorite life motto that you often use yourself, share with friends or family, find useful in work or in life? I don't know that it fits into a sentence, but it's something I always encourage people, which is to really think big and think long. So I just started working with LinkedIn as a consulting client. And I've talked to LinkedIn about working with them for six years.

So never gave up. Like, you know, meet someone and propose something and suggest an idea. Like, you never know where we go. Like, I had that with all through my career, with living in different places. Like, really not think about the moment of where things will go. But, you know, just it's a relationship you're building. You don't ever know where anything will happen. So look at the big picture.

I love that. And kind of following along those lines. Last question. I'm curious if something comes up. What SEO win are you most proud of? I don't know if I could say most proud of, but I really like what I do with Tinder because it was understand,

like it brought the entire journey together. There's users out there that didn't know that Tinder would solve a very specific problem. And it's just there to solve that problem. And it's not the way Tinder thought of themselves. They thought themselves as a dating app, but it's a lowliness solution problem. That answers a Google search.

Eli, this has been awesome. I think this is going to help a lot of people think through SEO and especially as they realize how things are changing, they're going to have this resource now to be like, I see, this is what I should change, this is what I should be doing. And I just love especially the pattern and the thread of, it's not actually that complicated.

You can do it even if you've never really done it before. So I really appreciate you being here and sharing all this wisdom with us. Two final questions. Where can folks find you if they want to reach out to work with you? Also check out your book. And finally, how can listeners be useful to you? So you can find me on LinkedIn. So search Eli Schwartz.

And you should definitely look for my book. So the book is Product Lead SEO. And actually one piece on just your own personal brand and your own personal rankings, it doesn't matter where you rank if you search your own name. So if LinkedIn shows up first for your name, that's great because they're finding you. And a lot of times brands and people will be very focused on where they're positioned. But it's about the journey. Like if they find you, they find you.

It doesn't matter what's number one. And that also underscores that it's not all about links. I believe for my own name and probably for you too, I outrank LinkedIn. And my book, so if you search product led SEO, my own personal website, which is not have the best domain authority, it outranks Amazon. So that should right away disprove that it's all about links and it's all about SEO metrics. It's really all about the right fit. So be the right fit and you'll show up where you're supposed to.

do. And then users can be most helpful for me by subscribing to my newsletter and giving me ideas and feedback on what to write. Really enjoy writing and I really enjoy hearing from people. So my newsletter is productletseo.com. It's so consistent across all your things. I love it. Product Let SEO. Eli, thank you so much for being here. Thanks for having me. Bye, everyone. Thank you so much for listening. If you found this valuable, you can subscribe to the show on Apple Podcasts, Spotify, or your favorite podcast app. Also, please consider giving us rating or leaving a review, as that really helps other listeners find the podcast. You can find

all past episodes or learn more about the show at lenniespodcast.com. See you in the next episode.