What’s next for SEO in the generative AI era

SEO, GEO, AIO Search Engine Land Live

The definition of “search” is changing in real time – and so is SEO. Search Engine Land went live today with an exclusive discussion on what it all means and what you need to do to keep up.

Why we care. Generative AI is shaking the foundations of how people find and interact with information online. The stakes have never been higher for search marketers, brands, businesses, and creators.

The big questions:

  • Is this the end of SEO – or the start of something bigger?
  • What matters more now: tactics, terminology, or outcomes?
  • How can marketers adapt as the rules – and players – of search evolve?

Who’s talking: I moderated a great discussion between our panel of experts:

  • Barry Schwartz, contributing editor at Search Engine Land
  • Michael King, CEO of iPullRank
  • Myriam Jessier, consultant at Pragm
  • Duane Forrester, CEO of UnboundAnswers.com

The conversation. Watch the video above for the full conversation and actionable insights you can use right away.

The transcript. Here is the unedited transcript. (It will be reviewed and corrected shortly):

Danny Goodwin

Hey everybody. I’m Danny Goodwin, editorial director of Search Engine Land, and we are here for a very special live with search engine land. We’re gonna be talking about what’s next for SEO and the generative AI era and about the future of visibility, trust, and connection. Uh, now we’ve all lived through a lot of huge changes in search over the years, but the definition of search continues to evolve and what worked a year or two ago may not work anymore.

And the pace of change in SEO is just. Insane right now. Uh, and it’s never been faster. Generative AI is reshaping how people discover, evaluate, and act on information. And for search marketers, brands, businesses, and creators, the stakes are higher than ever. So today we’re bringing together a few of the industry’s sharpest minds for exclusive discussion on what’s all means and how you can adapt, evolve, and thrive in this next era of search.

So settle in. The conversation starts now. I’ll let our panelists each introduce who they are and what they do. Mike, I’ll start with you. 

Mike King

Hey, I am Mike King. I am the founder and CEO here at IPO Rank, and also our first chief relevance engineer. And for anybody watching at home today is IPO rank’s 11th birthday. So I’m excited. Cool. 

Danny Goodwin

Congratulations. That is amazing. Duane, introduce yourself. 

Duane Forrester

Hey gang, Duane Forster, founder and CEO of unboundanswers.com. I help people, what can I say? Been doing this forever. Super happy to be here with everybody and excited to get into this conversation.

Danny Goodwin

Amazing. Myriam, introduce yourself.

Myriam Jessier

My name is Myriam and I’m the co-founder of Pragm. I have been doing SEO for a very long time as well, and everything old is new again, now we’re dealing with cloaking and so many things from like the vintage era, so I can’t wait to talk about it.

Danny Goodwin

Amazing. Welcome. And Barry. 

Barry Schwartz

Hi, I’m Barry. I’ve been writing about what these guys have been doing for the past 20 plus years. That’s about it. 

Danny Goodwin

That’s about it. Okay. So let’s dive right in. We’ll start with the big question that sort of got us all here today. The future of SEO. Mike, you’ve been saying that SEO isn’t dead, but it’s deprecated. So let’s start there. What do you mean by that and what are the implications of that statement? 

Mike King

Sure. So first, let’s explain what the concept of deprecated means. So typically when like a new specification comes out, um, a lot of software will continue to support that specification, or excuse me, the old specification, even though the new one is better, right?

And so to that point. You can continue to do SEO the way you’ve always done it, and you may get some results from it, which is why so many people are just saying like, oh, it’s just SEO. But fundamentally, the way these platforms work is different, right? It isn’t just about the retrieval aspect of it. It’s also about, uh, expanding queries, you know, to be dozens of queries that are used.

They’re pulling passages and then there’s syn, there’s a bunch of synthesis that happens. So, you know, there was some data that came out from ziptie a couple months ago where they talked about how if you’re in the top 10 of the serp, you have a 25% chance of appearing in like the AI overview. So that fundamentally tells you that you need to do something different to have a higher likelihood of appearing in the AI overview.

So that’s what I’m saying, like just us limiting ourselves to what we’ve always done is not enough to be effective in these channels moving forward. 

Danny Goodwin

Great. So, Duane, how about you? Would you agree with that? 

Duane Forrester

You know, um, I’ve known Mike a lot of years and, um, sometimes I agree with him, sometimes I don’t.

Um, this is one of those moments where, yeah, I agree with Mike. Um, I have very much taken the perspective that we are in a transitional phase. Um, if, for example, the SEO life that we’ve been living for the last 20 years in the industry is the equivalent of high school. Uh, we are now going to university because there is another layer.

You don’t get to walk away from what you know traditionally, but I will tell you this, okay, and this is really important, and I think Mike’s deprecation example really hits on it. And Miriam touched on this a little bit. Everything old is new. Again, the reality in my head is this. If you haven’t gotten your ducks in a row with traditional SEO at this point, a lot of people aren’t gonna help you anymore because we’re moving.

And I, I don’t know how else to explain this to companies. Like now is not the time to go back and learn what structured data is or how to deploy it. Like if you’re having those conversations, I kind of want to tell you, here’s some remedial studying for the weekend. Come back to me when you’re serious about moving forward because you had 20 years to get that done and you’re still struggling.

So I don’t know. But anyone else, but I’m pretty sure that you, this group is gonna agree with me on this. We are moving so fast now. That it is a, it is a sprint. It is a 26 mile sprint. There is no more example of, oh, it’s a marathon. It’s a, it’s a sprint. No, it’s all a sprint and it’s infinitely long and you either can keep up or you cannot.

And so I fundamentally, I agree with everything I’m hearing so far. I’m right there and mildly frustrated. 

Danny Goodwin

Why are you mildly frustrated?

Duane Forrester

Well, I’m mildly frustrated by that, by the, the traditional oversimplification of something that gets applied to something that is demonstrably more complex.

Like, like people coming at me saying, I write an article about chunking, and they’re like, oh, I can’t say that to my executive. I’ll get laughed outta the room. And I’m like. Do you not understand? That word is actually from the machine learning lexicon, like it refers to something that these systems do.

And you have to understand that of course, they don’t understand that because again, no one reads, they’re scanning things, they’re moving too fast, tr thinking they’re keeping up. I’m telling you, the cost of keeping up is you’re not watching television, you’re not playing video games. You are literally 18 hours a day consuming.

You’re dreaming this stuff at this point. That’s where we are at. At least that’s where I am at. And I suspect Mike and Maryam Barry and you and, and a whole bunch of us are in that same kind of overload, buzzy head space. Mm-hmm. That to Miriam’s Point existed 20 years ago when we first started going to conferences, sharing these little tidbits of what worked and what didn’t work, and how it worked and why it worked.

We’re back to that again. And yet people wanna oversimplify it. They want to dumb it down to, oh, just one thing. Right. 

Danny Goodwin

Okay. Yep. So, Miriam, I;d love your thoughts. Do you believe that SEO is deprecated as well? 

Myriam Jessier

I hope that you would go for Berry because it’s not characteristic when I’m quiet. Uh, but, uh, I’m going to have a a, a spicy take here.

Um, I think that if you have been doing SEO like 20 years ago, yeah, this is brand new to you. If you’ve been doing SEO and keeping up with stuff, you would have noticed that we were headed in that direction. However, and I’m gonna nuance this, where it gets a bit complicated to explain this to folks is before we used to have a bit more control, right?

Mm-hmm. It doesn’t matter. I don’t care about branding. Who cares. I don’t care about PPC. I can do my SEOI am king or nobility of the world. Okay? We’re number one. We get money. But nowadays I find myself having to explain to executives some things that are not comfortable. Number one, the darn thing, hallucinates.

Okay, so it’s not even your own, um, I don’t know if I can swear, but, um, let’s just say cow poop. Okay? But it’s not just you pretending some stuff until reality catches up and your brand is strong. Now we have sentiment analysis. Now I’ve seen some April Fool’s jokes being integrated into the ethos of a brand and then spa out in LLMs.

So you have to explain stuff that you would think, okay, maybe the social media team should be helping as well, but nobody’s rushing. We’re the only ones in SEO o trying to figure this out. So to me. Yes. SEO O as people used to do it 20 years ago with a recipe without any curiosity, trying to understand what’s going on, that’s deprecated.

But if we’re talking about a EOG, I don’t care about the acronyms. At the end of the day, are we doing this job? Yes or no? I, I’m waiting the jury’s out on what is gonna be called. I really don’t care. I’m old enough to know everything that’s old is new again. The one thing that I would bring about though is I’m obsessed with multimodal and not too many people are interested in it, but how many times can I just like, show a video of a broken thing or a microwave that’s in German and go help me figure this out and it will help me.

Myriam Jessier

And this to me, opens brand new avenues. So now I take pictures of packaging and I tell people, that’s your landing page. Can we please optimize it for image? Vision? Yeah. It’s, it’s not that to me. Everything about SEO is deprecated. However, the concept that we had needs to be updated for sure. It’s just not the same game.

And now you’re running into new frictions with new teams. You’re no longer like, I’m Nabil, yay. I don’t care what you say. I’m number one. We now have to actually grow up and maybe be polite and learn how to deal with others. Right. So this, yeah. Mike, you, you know what I mean? Like some of us are struggling with that.

We’re having tantrums. 

Mike King

Are you calling me? Not polite. 

Myriam Jessier

Oh, this was not towards you.

Mike King

I’m messing with you. I’m messing with you. Yeah. 

Myriam Jessier

But I have a few names that came up to my mind and I think the audience as well, you know, who’s coming up your mind when I say that? 

Danny Goodwin

All right, Barry, uh, your, your opening thoughts on the future of SEO? 

Barry Schwartz

Um, more on the, uh, I guess Myriam side of things. Um, I don’t think many SEOs are trying to oversimplify things, nor do I think they’re playing video games. Um, I don’t, I dunno, I never have, I never, last time I actually did any entertainment personally. I, I don’t believe in entertainment. I believe in just working and constantly working.

That being said, um, one thing I’ve been doing is writing about how SEOs have been operating for the past 20 plus years. And SEOs who are around today, that were around 20 years ago, are always stepping up. They’re always, it used to be back in the old days, submit your page to the index and submit ’em to 20 different search engines over and over again every single day.

Then it was due OnPage, SEO, then link building, then Universal search came out, uh, feature snippet optimization. I’m jumping a little bit, entities, et cetera. We’re constantly stepping stuff up. Um. So the best SEOs continued to like, add things to their plate? Yes. This is a huge jump in terms of what SEOs are adding to their plate.

A lot of SEOs were focusing on like one thing or two things. Now you really need to have, you have to have everything under your belt to make this possible. And the best SEOs, the ones who’ve been here for many, many years, um, many of you guys on this, on this video right here, um, are the ones who could adapt.

The ones that don’t adapt are the ones that die. We’ve seen many SEOs with big names over the years that either fell off and are, no, no, no longer doing SEO working for big companies, um, doing marketing in general and so forth, uh, but no longer doing SEO and like optimizing their own stuff. That being said, there are a lot of changes coming.

Um, obviously clicks are vanishing for a lot of people. You know, branding is becoming more and more important ’cause of that. Uh, and this whole angen experience stuff, having, how do you get, get your client to think about, you know, building agents that integrate with these AI engines and so forth. Um. I’m the guy who always, it’s not always often like will cite Google about things as well.

And Google just, you know, had us, um, just, it was an article right now in a adage I think, or one of these places where Google spokesperson told adage that, um, basically everything remains the same when it comes to optimization or SEO Um, there’s nothing specific you’re gonna do to optimize, uh, for a I re or AI mode outside of their existing SEO fundamentals.

But again, how you work with clients is gonna change. Like, are you gonna count clicks anymore? No, you’re not gonna say, oh, I got you this amount of clicks or this amount of conversions and so forth. ’cause it’s, it’s gonna be harder to target and, and, and track and track and so forth. And only the ones that are actually looking at, you know, how do I show my clients that this the return on investment?

How do I show my clients what I’m doing? You know, how do I show that we’re adapting to this are the ones that are gonna survive? And this happens every several years, but with this change in search, which is the most fun, I think. I’ve had covering search in a long time because it’s changing so fast. It it, it’s gonna change.

It’s gonna, it keeps changing like very, very quickly and it’s gonna, it’s gonna make and break a lot of SEOs. Um, not that we should call them seo, I don’t wanna call them, but whatever it is, I don’t think SEO the name is necessarily gonna change so fast. Um, but I think the best SEOs that are here today, um, are gonna probably stay and adapt.

But at the same time, there are a lot of lazy SEOs out there that work off a checklist. And those checklists, you know, those checklists are going out the window. Um, so I do think things are gonna change, but I don’t think it’s gonna change. Looking back at the 20 past 20 years, I don’t think it’s gonna be like, oh, they’re, they’re doomed.

The ones that are, were here 20 years ago and that are still here today, I think will be fine. 

Danny Goodwin

Yeah. And I, I think that’s a, a key point there, Barry. It’s like, for the, for the near term, it feels like SEO remains as relevant as ever. Uh, would you all agree with that? Like, I mean, you know, yes, deprecated, but there’s still, you know, Google’s saying there’s 5 trillion searches.

I know a lot of those clicks go to Google, uh, and don’t actually go out to the web. But, uh, how are you sort of po positioning that yourself with the clients you’re talking to? Um, you know, as AI search grows, uh, do we just kinda accept like, Hey, this traffic’s not coming back from Google. Or like, how are you sort of talking about that with your clients?

Uh, Mike, you wanna start there? 

Mike King

Yeah, so I don’t, I don’t think what we’re talking about is that like SEOs are gonna disappear. Like I, that’s not what I’m saying. 

What I’m saying is that everything is fundamentally different. The channel is different. Mm-hmm. The user behavior is different.

The expectations of what we do in order for us to achieve something in this channel has dramatically changed. And one of the biggest follies that we’ve done as an industry is just accept that. It’s like, oh, okay. Core web vitals, we’re suddenly performance engineers. Nobody’s getting paid more for that.

So it’s like silly for us to just continue to accept things that Google impresses upon us. Now to the question you just asked me. Absolutely. We’ve been educating our clients on how the channel is changing for like the last two years. You know, like I wrote a blog post on this very site. Like two years ago talking about how retrieval, augment generation was gonna change everything about our space and how everyone was gonna see losses between 20 and 60% in traffic.

Here we are, you know, so like we’ve been telling clients that for a while and they were, at first they’re like, cool, cool, cool, whatever. And then once they started seeing these impacts from AI overviews, they’re all ears. And then, you know, when I wrote the thing about, um, AI mode, again, they’re all ears.

And then everyone at the C level is all about, well, how do we get visibility in chat GPT? And even though I keep telling them like, Hey, you’re not gonna get any traffic, it’s not gonna have the same level of business outcomes, they still wanna be there because of the, uh, immense growth that these channels are having.

So. Yes, it is a complete reframe of what we do because to the point that Miriam made, like we have to interface with a whole bunch of dis different disciplines here. It’s not just about text on webpages, it’s about what’s going on in video, it’s what it’s about, what’s happening across the content ecosystem.

And so I had a meeting with one of my clients last week when they were like, Hey, we are going to stand up a GEO team. How should we structure this? And that’s my whole point. SEO is defined in a lot of people’s heads as a specific thing. It’s free traffic, it’s content for robots. It’s all these like backdoor things that people don’t, um, give much value to, which is why our industry is very much undervalued right now.

We’re talking about AI and people are saying to us, what do we do? How does this work? Who do we need on the team? And so for us to keep living in this, this limited SEO lens, we’re missing out on this opportunity to reshape what this is and the media is coming in and defining it for us. And then clients are starting to come to us with those questions rather than, than the framework that we can develop as the industry that’s been here for the last 20 years.

Danny Goodwin

Right. Duane, your thoughts there? 

Duane Forrester

Yeah, so this is, this is really interesting, right? Um, Mike is touching on something here that, uh, I, I’ve written extensively on recently on my substack. Um, and it’s this whole notion of, um, skill retraining, um, new skills that we need. Um, I even did a four-part series on inventing new job titles that might exist.

They’re fictional, right? They’re, some of them are just like tongue in cheek funny, uh, but the point behind them is very serious. Um, I’ve had a half a dozen calls with companies looking to restructure teams, and they want guidance on how, like, what skills should I be hiring? I took a tremendous amount of heat from people in the industry a couple weeks back when I suggested that we need to start hiring new skills now so that in two years those people are executing on the work you need them to execute on.

If you are hiring someone to do keyword research now. You think somehow miraculously in two years, they will be an expert at the concept of query fan out and how to utilize that information in a content context. You’re delusional if they don’t understand it. You are going to have to have a training program.

You are gonna have to bring them up to speed or you’re gonna have to hire people who already have this skillset. And that’s what I’m advocating is you have to hire the skills today. Look, this, I think the industry’s gonna be a mess for the next couple of years. I think companies are gonna be a mess for the next couple of years.

Um, we are back for better or worse, Barry said, you know, like it’s kind of some of the most fun a lot of us have had in a long time because the change is so rapid and it’s interesting and, and I don’t, I won’t speak for everyone else, but I will speak for myself when I say. It forces me to learn new things every day for hours a day going deep.

And it’s stuff that I normally would not, I would not have gone and read all these academic papers on all of this stuff just for fun. But it is such a fundamental part of what we’re doing, what we have to do in the future, dude. Like I just, it’s not optional now. So you, you need those skills. You need that understanding.

You need that curiosity. I think, and Barry raised an interesting point, like we are seeing a lot of people burn out of the industry. They’re not interested in all of this change we’re seeing. Thankfully a lot of people willing to adapt, want to learn about it. And we’re seeing, I had a call, um, really large brand, like a Fortune 50, and they’re very concerned about their procurement pipeline for tool sets in 2026.

So I launched the quadrant ra like kind of ranking all these 40 different AI tools and where they are on trust versus features and they’re using that to define the top 10 that they will then go put time into to interview and look at and demo and all of this. And I’m like, I’m not saying what I did was the right path, but it is a path, it is something and it’s saving someone a lot of time.

And we’re gonna see a lot more of this happening. People wanting to add, excuse me, wanting to identify tool sets and what they can do with them and what they can use them for. Mike mentioned zip tie. It’s amazing. It is awesome. Extremely technical. So if you’re not a technical person, you may not be able to wrap your head around a lot of it.

There’s a lot of talk about Profound, they just scored 20 million a few weeks ago in funding, so obviously they have an advantage, but there’s a lot of new things out there and you know, it’s not just know the tool, it’s know the tool, know the work, know your work. What are your goals? This is across everything in your company.

You’re no longer the little pet off in the dark corner doing your strange language. No, no, this, this work is now impacting everyone and it is really important that people doing this work truly step forward. I, I, I can’t stress that enough.

Danny Goodwin

Right. Um, so I’ll, I’ll shift topic just a little bit. Uh, we know that at this point AI search is still driving, you know, pretty small amount of traffic to websites despite, you know, what Google’s, Elizabeth Reed may have, uh, told us in a recent blog post.

Um, I’m just kinda curious, uh, Miriam, I’ll, I’ll send, throw this to you first. You know, do you think people are expecting like AI search to eventually become a Google level of search or, you know, ’cause obviously we’re all seeing a lot of traffic declines, a lot of, uh, websites are seeing that. So do you, do you, what do you make of all this, do you think do GEO or whatever we’re gonna call it as over overblown or, uh, is it just not there yet?

Myriam Jessier

I have plenty of opinions. So first of all, I don’t think it’s quite there yet. Here’s why many people that have companies will not be willing to throw a bunch of money on something that could one day just say the opposite of what it was saying. The day before, and these types of inaccuracies, like I really appreciate the fact that Mike’s clients and Duane’s clients are like looking towards the future, are invested in it.

I deal with the scared clients, okay? Mm-hmm. I deal with the ones that have the legal department going, what you do in here? Mm-hmm. And so this is something that I’ve been paying attention to. Whenever Sam Altman needs money, he’s going to talk about AGI and then there will be funds coming in. Okay. The other thing is I am.

I’m obsessed with something, uh, that Mike said, and uh, uh, I’ll tie it in a second. We are redefining the web. We helped build the web as SEOs. We helped make it a trash fire. Okay? And right now we have a chance to not make the same mistakes. So this is fascinating to me, but it also means that, um, rest in peace to all the ex SEOs that ran into analytics land because now they’re struggling because the metrics are changing and we have to rebuild them.

So this is a notion that I have and profound, I great for the $20 million. Fantastic. I’m wondering other stuff. Yeah. So what is this nascent industry built on? Okay. Mm-hmm. So first of all, there’s the whole, we need money and I, I’m waiting for the hype bubble to burst. And whatever remains behind will be what we use.

That will be the gold and. For profound. I’m just wondering, okay. How do you get the data? And this leads me to having this, this thought that for core web vitals, we have what we call lab data and field data. So what happens in perfect conditions and what happens out in the wild when users are coming on your website?

Well, when it comes to tracking LLM visibility, it’s the same. We have the prompts that us as a company have defined because that’s why we want, in ideal conditions, no personalization, no memory, nothing. And then we have the field data. And that field data. Right now, the closest thing to it is clickstream data.

So whenever I evaluate these solutions, I’m like, where do you buy that clickstream data? Where is that coming from and how do you cut it up? Because if I’m in France, I don’t need the US clickstream data. That’s not the same real world that I’m facing. Mm-hmm. So I think that all of these situations really need to be figured out on the business end of things for this to become a viable thing that we look at and go, okay, this is serious.

We have some compliance, we have some legal frameworks around it, et cetera. Um, Danny, if you’re comfortable with it, I need to dovetail into something because I’ve seen a very good set of questions from Navah Hopkins. I’m going to read them. I don’t know if anyone else has seen them, but what does ethical SEO look like in the AI era versus Black hat and.

There’s a few PPC people that thankfully are interested in SEO, and they had a discussion regarding how brands might be able to fool AI into believing something about a brand based on UGC or other inputs, and I’ve seen that happen. I’ve also seen some hackers enjoying themselves very, very much with poisoning all of these LLM outputs.

So what would a holistic SEO perspective look like? So for me, the work I’ve been doing with some big enterprise clients is slowly trying to explain to them. You need to think about your branding quadrants, not in I own brand, and then I’m gonna make SEO demands and PPC demands. There’s what you say about your brand, your known brand, all your assets that you put out there.

There’s the latent brand. Everything that everyone is saying on social media about you that you may influence but you don’t control it. There’s the shadow brand, all the stuff, all the leaks, all those forgotten PDFs on like page four of Google search results. They come back to haunt you. You had a lawsuit in 2016, you’re still having that lawsuit according to chat, GPT.

So once it’s out, how do you handle that stuff? And then from all of these bits, you have the AI narrated brand, it’s now your brand ambassador. And for better or for worse, and that’s the portion that brands are struggling with. So. Just before I pass it off to someone else. When we talk about holistic stuff, that’s what I think about.

And I know I’m going to break Zara’s heart, but when we’re looking for fun, summer, spring, uh, summer or spring dresses, that typical Zara model face of, uh, is not gonna cut it because machines are not looking at the model’s face going, you don’t look like you’re having fun. I have 89% confidence. This is not joy on your face.

So this is the type of stuff we have to think about now.

Danny Goodwin

Absolutely. Okay. Uh, Barry, I’ll come back to you. Um, I, we sort of started with is GEO overblown there before we veered off for a minute. So, I mean, obviously you’ve been covering the industry for, you know, 20 plus years. You’ve seen a lot of stuff come and go. You’ve seen SEO declared dead probably more than anybody else on this, uh, on this call.

So, um, what are you, what are you thinking as we, as we see this heading forward? Do you, do you think GE Geo at this point is overblown? Or, or how are you feeling about it? 

Barry Schwartz

Uh, I, I don’t know. That’s a tough question. I, it goes back to our original conversation about SEO versus geo. I think, I don’t know. I don’t know if it’s overblown.

There’s a lot of money. At these days being thrown at this place. Mm-hmm. A lot of, like I said, 20 million to profound. They’re all gonna get consolidated at some point. Somebody’s gonna buy most of them up and consolidate them into, into something else. Um, I know several companies, not just profound, they got a lot of money from massive investments, um, to build tool sets around this stuff.

So I, is it the new blockchain? No. I think AI search and AI chat bots and all these things are really the future. Um, I just don’t know. I don’t know. I don’t, I don’t like to diminish SEO and say, SEO was just somebody in the back room. It was SEO O is not like it was 20 years ago. I mean, you have VPs of mm-hmm.

Marketing and SEO Yep. At massive organizations. I don’t think, s se I try not to believe that SEO is something that’s undervalued anymore. It used to be undervalued. I, I really don’t wanna believe that it’s undervalued anymore in this year. 2025. That being said. Yeah, 

Mike King

very. What, what Fortune 500s do you work at? It’s still very undervalued. 

Barry Schwartz

The, we had a number of, uh, VPs of like SEO for, like their New York Times and different organizations that are really high end. I mean, I don’t know, I don’t know off the top of my head, but I know we had them on search engine land and XMX speaking and so forth with vice president staff.

Mike King

Sure. There are, there are VPs of SEO, I’ll give you that, and some of ’em make like $300,000. Yeah. But they manage a channel that yields billions of dollars and they’re only getting 300 k. Like, that’s a pretty big disparity. Whereas you’ve got people in the media side that are making closer to like five, 600.

So I, I don’t, I, I still don’t believe. It’s valued that way. And also like when people come to go get a, uh, an SEO agency, most of them wanna spend like 10 grand a month when again, they’re spending millions on paid search. 

Barry Schwartz

I have people coming to me looking to build an Amazon clone for five grand. Yeah, I hear that.

I mean, there’s always people like that out there. So yeah, it’s all, a lot of that has to do, do what you brand your company. I mean, there’s one SEO company, a reputation management company charging, you know, $500 a month and you have one charging, you know, I don’t know, hundred, you know, tens of thousands of dollars per month for the same exact service.

So I think a lot of that is around branding, which goes back to a lot of what we have to do in terms of this whole new model. It’s not really new per se. I mean, there’s the fundamentals that you need to do, and there’s the stuff that SEOs, the really good SEOs have been doing, like yourself, Mike and Duane, you guys, and, and Miriam, you guys have been doing this stuff for a long time.

Mm-hmm. Um, you’ve been talking about this well before the AI rev revolution over, when you wanna call it, there’s some new elements to it, like. That’s really API integration is the whole nGenx stuff. So a lot of this stuff is new, but it’s really not new. And I think, like, like I said before, the best SEOs will survive and adopt these things and tell their clients how to incorporate it.

I don’t know if we need to change the name so that, I don’t know, some VP could get another 200 grand on a salary. I mean, it’ll be nice. I don’t care about that per se. Um, but I do think, um, I would like to see the SEO name become more and more credible and I think this is the avenue toward, towards it.

And we don’t, I don’t think we have to change it to being GEO or a EO or E-I-E-I-O or whatever you wanna call it. 

Mike King

So that’s why I disagree, because if that was true, it would’ve happened by now. You know, I think it’s been happening. Like you said, all of these people have been doing great work for so long.

It hasn’t changed the perception of SEO. 

Barry Schwartz

I mean, Duane, how many of the former speakers back from the early SES days that were sitting black hat SEO are now like in. Like massive corporations doing SEO, um, maybe with bigger taxes, what you’re thinking 

Duane Forrester

And it’s, it’s a very real thing, right? Like, like there, there is a number of people historically from the industry who were really good at, at traditional SEO, black hat, SEO, understood all of it.

Um, were very successful. And those people have largely gone into the background to be the guiding force at larger, technically minded companies and, and they’re doing good work, right? Like, I, I, I think both you guys, like, it’s funny, you know, I, I’m kind of envisioning this like boxing match happening, but it’s all like candy canes and, you know, like fluff and popcorn and whatnot.

Because I agree with both of you and I disagree with some things. I fundamentally think that, um, I’d say about seven, maybe 10 years ago, we hit the peak. Of SEOs getting large titles and large salaries, and we’ve seen that trailing down because, not because of necessarily a lowering appreciation of the work, but because a vice president of marketing is an easier title for a company to understand, especially a publicly traded company that has to report to a board that has a C-suite making these organizational decisions.

And marketing then becomes the catchall that holds all of the disciplines within that, including SEO, which ultimately means as an SEO, you’re never really gonna get above director. And if you do, it’s probably a smaller company or sometimes at a much larger company where they need more executives to spread across.

So I, I think everybody’s right. I mean, that’s my kumbaya statement on it. Um, but I will say this, um, I, I fundamentally think that, that we are seeing a change here. Um, you can’t let go of the face. I love how Miriam put this. You know, when Sam needs money, he comes out and talks a GI, right? It’s like, this is a really, really, really important nuance for SEOs to wrap their head around.

Okay? It’s, she says, Sam, right? But really she means perplexity. She means quad. She means anthropic. Like every one of these companies has their little pull that they, they go for. And what’s incredibly, so, very important about this is the 700 million people that use chat GPT, because most of those people.

Don’t know what search actually is or is not. All they know is they asked a question and they got an answer that seemed trustworthy and that seemed trustworthy part is really important. Okay? Because for us to actually trust answers out of these systems, we need universal verifiers and universal verifiers are a minimum.

Beta versions are 18 months away, and then probably 20, 27 before we see practically applied universal verifiers and LLM fact checking and LLM, I’ll let you go down your own rabbit holes about the efficacy of that concept, but it’s being worked on. Fact is 700 million people don’t know the difference and they’re looking at something.

I needed a new washing machine two weeks ago, so I took a photo of the barcode that was on mine, was shocked to realize I’d had it for 10 years and was like, oh, no wonder. It’s kind of like crapping out on us. There you go. Immediately, Chachi PT 4.0 comes back with, here are the top three compete products to that modern version.

You know, would you like a, a summary of each one? And sure enough, I’m not joking, I went from 11:00 PM at night having that conversation in the dark because I couldn’t sleep and needed to solve this problem to the following afternoon. Lowe’s was delivering our new washing machine to us. And so do I really care whether it’s a search engine, whether we call this geo or SEO, or no, I don’t.

As a consumer, I really don’t care. And I got a good answer and I’ve got a great machine, and I love the music it plays every time the, the cycle ends. Like, like that’s what matters to me. I solve my problem. And you guys know this. I mean, if you’re on this group, you, you’ve heard me, you know, go on about this ad nauseum, like this is the fundamental thing that marketers need to wrap their head around is the consumer side of it.

Their intent, their interest. And, and the rest of it is, is kind of, um, I don’t know. It’s a little squishy right now. There’s, you know, I look, I, I can sit here and argue and tell you there’s all kinds of new technical stuff and you have to know this, and you have to do these things. And then Barry can just look at me and say, yeah, but you know what?

I can find homes for every one of those things conceptually in content and topics that we’ve already talked about. And I, I can’t really argue that it’s, it’s maybe a shinier version of that old thing. Everybody went nuts a month ago for Query Fan out. It just blew up. Like it was something, and I’m like, I literally do not know a single SEO on planet Earth who doesn’t understand this concept and hasn’t been working on it for 15 years.

It’s, it’s the basic concept with a new name on it. And yeah, in the world of ml it’s important and it, you know, should have that name and do whatever, but you as an SEO should know better. You should be doing this already. So nobody should be shocked by it saying, oh my God, that’s new. Now I have to do this, and I will buy a plane ticket and give somebody a crisp high five If they end up as the vice president of a query fan out at some company.

Like I, I swear, I like, that would be just like Fonzie jumping the shark. And if you’re young and you don’t get that reference, go look that one up. You’ll enjoy the video. 

Myriam Jessier

I need to update my LinkedIn profile right now.

Mike King

Here’s my problem with that though. We, we talk about this idealized form of SEO that very few people actually do, right?

Like when you talk about like, oh, everyone should have known about Query fan out. Like, yes, query expansion has existed the whole time, uh, in a partially different way or what have you, but what tools do we have that explicitly show you this is the direct relationship …

Duane Forrester

Mike. I, I just, just to, to push back on that. I will point out, um, um, is it answer the people and, um, there’s another tool that’s similar conceptually to what you are saying, right? Where Yeah. You’re talking about it goes on. 

Mike King

You’re effectively talking about like, okay, I’m mining. People also ask, which is a form of that.

Duane Forrester

Yeah. 

Mike King

But it’s not exactly what these systems are doing. Oh, I agree. My point, my point is this, like a lot of us know these concepts, but the average practitioner of SEO, the people that watch these videos, read these blog posts. They, they read all this stuff and they’re like, okay, well what do I do next?

And so then they don’t do anything different than the checklist. So yes, the knowledge, yeah, that’s fair, but it’s not actually happening because our space is just so backwards in that regard. 

Myriam Jessier

It, I would say that it is happening, but we haven’t been paying attention to it. So here’s why we have done our job so well.

That search is now. Democratic, I mean, watching people go on Instagram, like community managers and social media experts explaining to me how hashtags are working. And I was looking at them for years going, you are adorable. Thank you for doing the SEO work. I don’t wanna do good for you. So it’s, it’s one of those situations where I think it’s the opposite.

People take search for granted and there’s nobody else but us going into the LLM space trying to figure this out. So it, it’s, it’s bit unusual. And when it comes to query fan out, I’ve been dealing with this as an internal search nerd forever because what do you do when people go on your own website to buy groceries and they’re typing for healthy, um, um, healthy cheap snack.

Of course you’re gonna query fan out in your own internal search engine. You need to match that expectation with your own store and with what you know about your audience, how they purchase stuff. So. I think that just certain things have caught up and are going much faster, but then there’s some stuff that is just so backwards.

Like, I am not going to recommend to clients that they remove all their JavaScript just because some crawlers from LLM are slow, inefficient, and costly. I’m sorry, I’m not here for this. So we’re No, no, I, I see you laughing and I agree. But I mean, uh, Chris Green was bringing up an example with a big e-commerce site where in the code it said, product is available and product is not available.

These were the two states available in the code. And then what do LLMs do take for granted that if it says not available, let’s ignore the available, we’re gonna say the product is not available. 

Mike King

Right. 

Myriam Jessier

So now we’re, we’re, we’re dealing with things that are going way too fast. And to me, it seems normal.

It’s like, Hey, weren’t we all on the same page that we have to write good content, just period for humans? And then there’s this other end where we have to figure. Okay, so Agent Agentic AI stuff, I think about in the shower, INP as a core web vital is super important now. Mm-hmm. What happens with mobile overlap?

Like if the bot is going on there and you have three popups, it’s gonna be pretty deterministic. It’s gonna go first button, I don’t care. I’m not gonna mm-hmm. Waste my time. So you are gonna end up with even weirder behaviors that you may attribute to humans going, oh, humans are getting less smart. No, they’re sending bots to do the job.

Mm-hmm. And we have to think about that as well, these new mm-hmm. Behaviors. And, um, FYI for my PPC people, yeah. INP is now something that you should get friendly with your SEO about your technical SEO because this will impact you. People are buying shoes with agents now. I know that. Um, I think it was like the SEO max, uh, waffle.

I’m so sorry for pronouncing your last name like this. I can’t German. Well, he purchased a pair of his own brand’s shoes with an agent and it’s working super well for him. I don’t know how well it’s working with everyone like Duane, I’m glad that you did not delegate the purchase of your washing machine to an agent so far.

Okay. Yeah. I don’t trust it quite well. And last but not least, no. Yeah, not quite. Tinfoil hat moment perplexity is headed by people who have a. Contract with Google. They used to be with Google Labs, and in a few years they have to return. Haven’t you noticed that some of the stuff that works well in Gemini, that they want to popularize, they will take out and put in perplexity and vice versa?

Like the check sources from Gemini is now in perplexity and there’s other stuff I see like, uh, let’s just say a walkway between the two. Mm-hmm. And when we know that Google had a few moonshots as well, would I say that, um, Google and so SEO as a whole, because they are the main driver behind that industry at the end of the day, not saying that they like it, just saying they have to deal with it.

Are they going to really lose out? I don’t think so. That clickstream I was talking about, Ooh, isn’t that useful for AI mode ads that are coming? Isn’t that a leg up on the competition? Mm-hmm. I, I can’t wait to see how it plays out. 

Danny Goodwin

All right. So I wanna circle back to something we touched on a little bit earlier.

Uh, you know, if we call the, if we do call this a new marketing discipline, which is, you know, being found on AI engines, is this something that SEOs today are going to own? And do you think this will allow them to maybe get big, bigger budgets, uh, and maybe salaries too, like Mike was alluding to? So, uh, Mike, do you wanna answer that one first?

Mike King

Yeah. Mike, check 1, 2, 1, 2. Okay. Um, yeah, so. It’s my hope that they can do that because again, you’re in a space where you’ve got a lot more responsibility. You have to do this across a bigger content ecosystem rather than just your website. And again, it’s an opportunity to reframe because people associate a very high value with AI, and this is AI.

So I think if we’re smart, it is an opportunity for everyone to reframe. And the question on the name, I mean that that ship is sailed, guys. Like as soon as Andreessen Horowitz was like, this is generative engine optimization, that’s what it’s, as soon as the media starts saying, this is generative engine optimization, that’s what it is.

We can push back all we want, but it’s too late. We should have done that a year ago when this thing first popped up, rather than just saying it’s more SE. So I think that there’s an opportunity, but again, just as we generally have as SEO to begin with, it’s a huge branding problem that needs to be overcome. 

Danny Goodwin

Duane, what do you think? 

Duane Forrester

Yeah, um. You know, I think that, is there a chance for more budget? Yeah, I think so. Um, but you know, as we’ve seen since the pandemic budgets have been slashed, there’s been massive headcount reductions. Um, you know, people are slowing their purchasing, um, large companies still have large procurement cycles that take, you know, six months to a year to get through sometimes.

Uh, forget government, i, I if you’re gonna look at that, just, you know, plan for your kids to take over your contract because it’s, it’s a long haul with, uh, with.gov. Um, I think that, um, what we’re likely to see in this kind of interim. Timeframe is you’re gonna see a lot of people who don’t understand the space, didn’t understand SEO, but were responsible for the teams managing that work.

Um, understood it enough to listen to the team and, you know, like accept the guidance or say no to the guidance that the team gave them. Um, but, but they’re not practitioners themselves. They don’t have a deep knowledge. They’re not gonna have a deep knowledge in this space either. But they’re going to accept responsibility.

They’re gonna hire the people with the skills, they’re gonna listen to the conversations they’re gonna spend, the company’s budget. Um, I think there’s gonna be a lot of that. And I think that maybe in five years, um, we will see people with skills in those positions because it will matter to companies.

Right? Like, you know, something that Mike was talking about earlier, right? Like this decline in click volume that we’re seeing. Like I don’t see a lot of people talking about the fact that if. If we can agree that our future is built around an answer as opposed to, you know, a clickable link, for example.

Um, if we continue to see that growing and it goes in that direction, we will inevitably find ourselves trying to track a mention versus a citation versus a linked citation. And was that my phrase that was used in that answer? And how exactly do I do it right? Which kind of comes back to the tools and their ability to do these things properly.

And, you know, the viability of all of that. Um, it, it becomes kind of an ecosystem unto itself. Uh, its own arcane, um, vertical of data tracking basically. Um, I think that we’re gonna see expansion in that area. We’re going to see, unfortunately, a lot of people, um, you know, look, we got, I’m tracking 40 tools right now.

Like there’s probably gonna be another 20 in the next year. And then we’re gonna see to Barry boy, like. A metric crapton of consolidation where all of those ones and twos that made up, the companies are just gonna drift off because they never got funding. They’re just gonna walk away. They didn’t care in the first place and the whole thing dies.

Um, but until that two to three years from now, everybody’s gonna be walking around this weird kind of landscape of, well, this does this and this does that, and this does this over here, and this does this, and it’s, it’s going to be hugely messy, which means there’s opportunity for some people. And some of those people will be internal people looking to bulk up their, you know, budgets with their teams and proposing new headcounts.

And because AI is so shiny, when you start talking in that direction. Boards of directors lean in and pay attention, and C-suites start to lean in and headcounts get approved. I need a keyword researcher on my content team. No, you get no more head count. I need somebody to manage, query fan out to determine what content that we should be focusing on moving forward.

Is that related to ai? Yes. Great. Have two headcount. Like it’s this type of world that I think we’re about to see turbulence for the airplane, right? It’s gonna be a lot of it over the next couple years. 

Myriam Jessier

You wanna talk about messy? I wanna complain about something. My work is being attributed to another SEO called MIM because some person took a YouTube transcript of one of my talks.

Yeah. And because my name is not spelled with a Y, it automatically assumed that because I’m talking about local SEO, well who’s the other MI that’s known for local SEO. And all of a sudden my entire. Life. Like my Hawaii references, my Jewish background. All of that is attributed to that poor woman out there.

And in lms. I’ve been working hard and the agency that published that slop, it’s literally, I slop 

Myriam Jessier

Has not changed it. And the efforts I’ve had to do to fix that, I mean, I, I dug into this and that’s why I say like it, like LLMs do need to grow up because the ai Oh yeah. Brand semantic drift is Yeah.

Off the walls. It’s not just one thing. You have like factual drift, you have intent drift, you have the drift of people on Reddit, memeing your brand, you have narrative collapse, like all of these things. Are going to be something we have to deal with and we’re gonna have panicked brands coming and going.

Clean that up. No, I can’t just bury the body in page two of Google search results. Now you have content debt. 

Barry Schwartz

It’s funny, it’s a, it’s funny because I have people coming to me and saying, you know, this is what I, this is what some topic, what could be anything, like what’s the best washer and dryer to buy?

Or whatever it is. And then this, this is the answer from Chatt PT and I’m gonna go with it. I’m like, it’s, you’re like, it’s like, first of all, on our topic, I know about SEO O they ask this question that I know about, which is only SEO. Um, I’ll be like, that’s wrong. And it’s just outright wrong. Yeah. And it’s like talking to a really confident friend who thinks they know everything, but they know nothing.

Yeah. 

Mike King

Drunk and that’s what confident. Yeah, but they’re gonna 

Barry Schwartz

get better. But at this time, it’s like, you 

Mike King

mean it’s like talking to SEOs? 

Barry Schwartz

Exactly. Uh, but you know what I’m saying? It’s like you have that one friend that really knows everything. Yeah. And they act like they know everything and they’re so confident about it.

That’s what it’s like asking these chat GPTs and these ai, and they’re getting better. Mm-hmm. Um, but then optimizing for that, like they could run out, you know, chat. GBT came with a new model last week, it’s brand new. And they had to like, they, we were getting rid of all the other old models and they’re like, right.

And everybody’s fighting and like, we want the old models back. We don’t like the new models. We want the old models back. Yeah. It’s, it’s, it’s, we’re in a really exciting space. It will get really, really good. And the AI will, we’re not gonna have to hire anybody, Duane. It’s just the AI’s gonna do it all for us.

Duane Forrester

yeah. So, you know, it’s funny you say that Barry, and like half joke, half truth, right? Yeah. Where, where like, like I, if, if you’d have talked to me like nine months ago, I would’ve been telling you we gotta be careful with Chachi BT five, because it’s probably gonna be capable of doing a lot of work that SEOs do.

And like it’ll get there. Right. And so I believe in that, but now that it’ll live through a bunch of cycles. The hockey stick is further away, right? That moment where it ramps up and it becomes a truly utility-based trustable asset, we are not there and, and I just like, we will get there. I believe that, but boy oh boy, you need human in the loop now more than ever.

Right? Miriam’s example is like critical for this, right? I mean, anything at all. I do a lot of writing and I put my writing into these systems and I say, find the facts that are incorrect. Find examples of backup, this statement. Go do this, go do that. I asked chat GBT the other night, and this is on 5.0. I asked it, I have a YouTube channel, it’s got nothing to do with SEO.

And I said, Hey, you know what I’d like is I’d like a ten second bumper that I can add a video that I can add to the beginning of every one of my videos. Kinda like an opening reel, right? Can you do that? Oh yeah. No problem. About 18 hours into the project, I asked it, can you actually make this video? And it assured me it could make the video.

The problem was uploading it. Now Dropbox wasn’t working. Google Drive wasn’t working, all these things weren’t working. So after about another hour, I said to it, are you lying to me? And it said, well that depends. And I’m like, what? Uh, there is no version of this answer that should start with that depends coming from you.

And then it went on to it. It went on to explain how it was working on everything I asked theoretically as a simulation in the background. And it was not capable of building a video interfacing with any of these third party systems or doing any of the work that I thought we were doing that it kept telling me we were doing.

And, and then it just went on to like apologize a bunch of times and whatever else. Right. And I’m just like. Okay. Object lesson, right? Like this is, you see 

Mike King

Canadian 

Duane Forrester

God, dude. I dunno. Right? Like, like I get, you know what? I can find it. I’ll ask it about maple syrup. I know this. So, so like, I’ll dig in deep on it.

But, but the point is like, like you cannot, every single word has to be vetted. Every single concept has to be vetted because the basic concepts, like if I ask about my king in relation to an article, I’m assuming there’s no other, my king in this industry that is well known as the My king I know. And therefore my reference is solid.

And it turns out that there’s like two other Mike Kings in America. One’s a real estate agent and one’s this, and, and then the system just conflates those Mike Kings with my reference in SEO. And it gives me a link to someone’s company that has nothing to do with the topic. And I’m like, geez, you know, this creates more work than it fixes.

And so that’s like the reality I tell people, it’s like you are working with a genius level 7-year-old who has access to humanity’s knowledge, but is so interested in saying yes to you that they will lie and not necessarily care about the lie, so that you, you’re constantly needing to be on top of it.

We’re not there yet. And it kind of makes me think, and it kind of makes me wonder, look, the money that’s being poured into these tools, you are building your tool on the backbone of Chachi PT that API call into their system using their logic to come up with an answer to this admittedly very narrowly focused questions.

Okay. And I think we can all agree that if you can narrowly focus in AI on narrow data, the hallucinations dropped precipitously. Like it gets very accurate and it’s really good. Okay. But are the tools that narrow? Is the training set that focused versus what the customer’s asking for? I don’t know if we’re there yet.

So my fear is that we’re seeing a lot of money thrown into these systems and we’re gonna find ourselves like kind of hitting the edges of the envelope really quick. And a lot of customers who are paying on a monthly basis or an annual basis are gonna back away when they get stung a couple times and they’re like, oh, the data told me this and I made this decision.

The decision you made was dollars, cents and resources and it was made on data. You have no way to really validate or that you just trusted and didn’t validate. So I, you know, this is, this is like a hugely problematic layer. I think that’s there. And we have a lot of people taking shortcuts right now. We see it already.

We know it. 

Danny Goodwin

Alright, I’m gonna move on because we are rapidly running outta time. I’d love if I could get kind of maybe a quick tip from each one of you. How can the people watching adapt as AI search continues to evolve? Or any new skills that we need in the next era of search. Barry, I’ll throw it to you first.

Barry Schwartz

Um, yeah, I’ll just repeat what I said. You know, branding, which is, yeah. And then, uh, I would look into all the new stuff around Ntic, experiences, agents and so forth. Play with it a lot. It’s new, but play with it. All right, Myriam. 

Myriam Jessier

I actually have more than one tip. I always have more than one tip. So number one, you don’t need to be technical.

Just disable the JavaScript and see if the important stuff is still there. I could nuance this. If you’re a technical SEO, let’s go talk. That’s fine. But if you are just trying to survive out there, disable the JavaScript and see if all the real information you need on there is on there, like the price of your product, for example.

The second tip is you’re not happy with the output you get in an LLM for your brand. Click the thumbs down button and give some feedback as to why it’s bad. I know, I know it sounds completely just, you’re wasting your time, but I believe that Chad GPT stopped. Working, like speaking in Croatian, because Croatians, unlike Americans, are not positive.

They were like, you are crap. It got so overwhelmed. I was like, I don’t wanna speak anymore. Okay. I just don’t do it anymore. And the third tip that I have is go on perplexity.ai and select, because you can do that. The Reddit, the social search, disabled the web. Just look for Reddit and check what people are saying about your brand because that stuff is getting eaten up.

Like beyond that in social. I love the fact that Biba a huge financial group. Their logo, if you ask, Hey, who is this brand? They will go pull from bird logos, volume one on Pinterest from some dude named Marco or whatever. Pay attention to social. It does some weird stuff. So go on perplexity and check it out.

Danny Goodwin

Duane, your tip or tips? 

Duane Forrester

Okay. Um, I’m gonna keep this one pretty simple and I’m, I’m hoping a lot of folks are already doing this. Um, you should be using the major, um, models in all of the systems. Um, my preference would be that you have a paid account, even at the lowest level of paid. Um, however, I’m not gonna spend your money.

You know, you, you could go in with the free ones. ’cause what you’re gonna do here, start with your query fano. Create a whole bunch of actual prompts that are related to your company, a hundred, 200. Run those daily, weekly, monthly, through the system. Track the results that you’re seeing with dates. Make a matrix for yourself of where you’re showing.

Then start applying all of this logic that Barry and Miriam have shared, and I’m pretty sure the genius that Mike is gonna add here. Start applying it to what you are seeing as the actual outputs. I am not aware of a tool that does this for you on mass. Currently. It may be out there and I simply haven’t found it yet.

That’s fine, but you have to have this view. You have to see what’s happening in these systems. You already have tools that’ll do that in traditional SEO and the regular engines. You need to create your own version and these new systems. It’s a really, really important view for your company. 

Danny Goodwin

All right, Mike, you get the final word.

Mike King

All right, I got three thoughts. One, SEOs, you need to demand more, demand more from your tools, demand more for what the work is that you’re doing. You’ve been the janitor for the web, for Google for the last 20 years. Like you deserve more. Um, and also you gotta demand more from yourselves. ’cause again, there’s so much that’s happening in this space that you need to learn the nuances of difference.

Like if you don’t understand what a vector embedding is, and you don’t really know what you’re doing in this space right now because everything operates on that. Next thing is, um, embrace omnichannel content strategy. Again, it’s not just about what’s on your website, it’s what’s across your ecosystem.

So you need to be thinking about what are we doing in Reddit? What are we doing on YouTube? What are we doing on LinkedIn Pulse? ’cause for whatever reason, you publish something there and then you’re in an AI overview, right? Like overnight. And then my last thought is really on measurement, especially if you work at the enterprise, like that is the first.

Thing that needs to be solved. I think Duane wrote a great blog post on this that you can check out on his substack. But the way I I break it down is in the three different buckets. So you have your input metrics, that’s things like, um, you know, your passage. Relevance for the queries. Queries and the, the fan out matrix, what have you.

Also bot activity. Also the classic rankings ’cause they’re all inputs there. Then you’ve got your channel metrics. Those are the sorts of things that you get from profound. And for the record, from my perspective, profound is the only tool. There’s 40 tools out there, but none of them are as good as profound and profound.

Has the lead on collecting the, um, the clickstream data as well. As far as I know, like few of those other tools have clickstream data. And the last bucket gonna your, um. Performance. And that’s not, not any different from what it’s, that you already look at. That’s like, okay, how many people come to your website from this channel?

And then what do they ultimately do? So traffic, conversions, things like that. But the main thing to know is that there’s no connective tissue between there, there is no Google search console for uh, GPT and so on. So the best you’re gonna be able to get, at least in the short term, is gonna be that clickstream stop.

So yeah, those are my three tips. 

Danny Goodwin

All right, well, this has been an absolutely amazing conversation, but we’ve got to end it there. Thanks to Mike king, Duane Forrester, Myriam Jessier, and Barry Schwartz. Uh, and as a reminder, SMX Next is coming November 18th to 19th, and of course, we’ll be continuing to dig deeper into the future of AI search and where we’re heading next.

Thanks to all of you for watching. Bye everybody.

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Google Ads launches diagnostics tool for cart data conversions

Google Shopping Ads - Google Ads

Google rolled out a “Conversions with cart data diagnostics” tool to help advertisers spot and fix issues in their cart data setup. This is an enhanced form of conversion tracking that logs item-level details like ID, price, and quantity.

Why we care. Accurate cart data powers richer sales insights, sharper optimization, and stronger ROI for campaigns, but incomplete or mismatched data can lead to underreporting and poor targeting.

How it works:

  • Checks if cart data is sent with every purchase conversion.
  • Verifies product details are complete.
  • Confirms item IDs match Merchant Center listings.

Health check. The tool grades setups as Excellent, Good, Needs attention, or Urgent, with alerts guiding fixes to keep data quality high and campaigns running at full potential.

Bottom line. Advertisers who rely on product-level conversion tracking should use the new diagnostics tool to catch data errors early, protect reporting accuracy, and ensure campaigns get the full benefit of Google Ads’ optimization features.

First seen. The update was first spotted by PPC Newsfeed owner Hana Kobzová.

Read more at Read More

How Perplexity ranks content: Research uncovers core ranking factors and systems

Perplexity

Want to know how content is scored, ranked, and in some cases, discarded by Perplexity? Independent researcher Metehan Yesilyurt analyzed browser-level interactions with Perplexity’s infrastructure to reveal how the AI answer engine evaluates and ranks content.

Why we care. Everybody involved with driving SEO and/or GEO success wants to understand how to gain visibility (citations and mentions) in AI answer engines. This research (albeit unverified at this point) offers some clues about Perplexity’s ranking signals, manual overrides, and content evaluation systems that could improve your optimization strategies for Perplexity (and possibly other answer engines) to gain a ranking advantage.

Entity search reranking system. One significant Perplexity system uncovered is a three-layer (L3) machine learning reranker. It is used for entity searches (people, companies, topics, concepts). Here’s how it works:

  • Initial results are retrieved and scored, like traditional search.
  • Then, L3 kicks in, applying stricter machine learning filters.
  • If too few results meet the threshold, the entire result set is scrapped.

This means quality signals and topical authority are super important for L3 – and keyword optimization isn’t enough, according to Yesilyurt.

Authoritative domains. Yesilyurt also discovered manual lists of authoritative domains (e.g., Amazon, GitHub, LinkedIn, Coursera). Yesilyurt wrote:

  • “This manual curation means that content associated with or referenced by these domains receives inherent authority boosts. The implication is clear: building relationships with these platforms or creating content that naturally incorporates their data provides algorithmic advantages.”

YouTube synchronization = ranking boost. Another interesting find: YouTube titles that exactly match Perplexity trending queries see enhanced visibility on both platforms.

  • This hints at cross-platform validation. Perplexity might validate trending interest using YouTube behavior – rewarding creators who act fast on emerging topics, according to Yesilyurt.

Core ranking factors. Yesilyurt documented dozens of what he called Perplexity’s “core ranking factors” that influence content visibility:

  • New post performance: Early clicks determine long-term visibility.
  • Topic classification: Tech, AI, and science get boosted; sports and entertainment get suppressed.
  • Time decay: Publish and update content frequently to avoid rapid visibility declines.
  • Semantic relevance: Content must be rich and comprehensive – not just keyword-matched.
  • User engagement: Clicks and historic engagement signals feed performance models.
  • Memory networks: Interlinked content clusters rank better together.
  • Feed distribution: Visibility in feeds is tightly controlled via cache limits and freshness timers.
  • Negative signals: User feedback and redundancy checks can bury underperforming content.

What’s next. Yesilyurt said success on Perplexity requires a combination of strategic topic selection, early user engagement, interconnected value, continuous optimization, and prioritizing quality over gaming.

  • Sound familiar? To me, it sure sounds like doing the SEO fundamentals.

Dig deeper. AI search is booming, but SEO is still not dead

The post. Breaking: Perplexity’s 59 Ranking Patterns and Secret Browser Architecture Revealed (With Code)

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Google Ads lets you test images, videos in Demand Gen campaigns

Dealing with Google Ads frustrations: Poor support, suspensions and rising costs

Google is testing a new feature that allows advertisers to run A/B tests on images and videos within Demand Gen campaigns, marking a major step toward creative performance transparency.

How it works:

  • Create an A/B test with two experiment arms.
  • Google duplicates the campaign for comparison.
  • Add or remove images and/or videos in either arm.
  • Set traffic split (commonly 50/50) and total budget.
  • Define your experiment dates.
  • Optional: Review campaign opt-ins like video enhancements.

Note: Changes made to the control arm sync to the treatment arm – but not the other way around. Avoid editing the treatment campaign after setup.

Why we care. Until now, you’ve had limited tools to test how visuals perform in Demand Gen campaigns. This new A/B testing functionality gives you a structured way to compare creatives head-to-head and make data-backed decisions. You can now test different visuals across duplicated campaign arms and clearly measure which creatives drive better engagement and conversions.

Between the lines: This gives advertisers a clearer lens into which visual elements perform best – at a time when creative is increasingly driving performance in Google’s AI-heavy ecosystem.

Bottom line: With A/B testing for images and videos now available in Demand Gen campaigns, creative testing just got real. Leveraging it early will unlock stronger insights and more optimized results.

First seen. The update was first highlighted by Thomas Eccel, head of Google Ads at JvM IMPACT, on LinkedIn.

Read more at Read More

AI search fight: Cloudflare and Perplexity clash over crawling

Cloudflare vs. Perplexity

Cloudflare accused AI answer engine Perplexity of “stealth crawling,” saying it uses deceptive techniques to bypass website blocks and access content it’s been explicitly told not to touch.

  • In response, Perplexity said Cloudflare has a fundamental misunderstanding of how AI assistants work and accused the company of either publicity-seeking or technical incompetence.

The big picture. Cloudflare said Perplexity uses declared bots when it can, but switches to “stealth crawling” when blocked. That includes mimicking normal browser behavior, rotating IPs, and ignoring robots.txt rules (tactics that can be associated with scrapers and bad actors).

  • Cloudflare tested this by setting up honeytrap sites and found Perplexity answering questions using content it shouldn’t have been able to access.
  • Perplexity insisted its requests are made on behalf of users, not as preemptive crawling. The company says these are real-time fetches, akin to what a browser or email client does, and claims Cloudflare mistook its behavior for something it wasn’t.

Why we care. If AI assistants can sidestep robots.txt by posing as browsers, brands, creators, and publishers lose control over how and when their content is used. That breaks the old deal between search engines and websites.

What’s next. Cloudflare said it’s already blocking the behavior in question and expects Perplexity’s tactics to change in response. It’s calling for standardization of bot behavior through IETF (the Internet Engineering Task Force) and other policy efforts.

  • Perplexity, meanwhile, is doubling down on its identity as an agentic AI platform and says it shouldn’t be governed by rules designed for traditional web crawlers.

The blog posts. You can view the full back and forth here:

Read more at Read More

From search to answer engines: How to optimize for the next era of discovery

From search to answer engines: How to optimize for the next era of discovery

The shift from traditional search engines to AI-powered answer engines signals more than a technical upgrade.

It marks a fundamental change in how people discover, evaluate, and act on information. 

Search is no longer a discrete game of isolated queries and static rankings. 

It’s becoming an infinite game – one shaped by context, memory, and ongoing interaction. 

For many users, large language models (LLMs) now offer a more effective starting point than classic search engines, especially when the task calls for clarity, research, or a more conversational experience.

How search evolved: From static queries to continuous conversations

Traditional search: A one-off query model

Traditional search engines (like classic Google Search) operate on a deterministic ranking model. 

Content is parsed, analyzed, and displayed in SERPs largely as provided. 

Ranking depends on known factors:

  • Content quality.
  • Site architecture.
  • Links.
  • User signals. 

A user types a query, receives a list of results (“10 blue links”), clicks, and typically ends the interaction. 

Each query is treated independently, with no memory between sessions. 

This model supports advertising revenue by creating monetization opportunities for every new query.

AI-powered search: Built for continuity and context

AI-powered answer engines use a probabilistic ranking model. 

They synthesize and display information by incorporating:

  • Reasoning steps.
  • Memory of prior interactions.
  • Dynamic data. 

The same query can yield different results at different times. 

These systems are built for ongoing, multiturn conversations, anticipating follow-up questions and refining answers in real time. 

They operate continuously, even while you sleep, and focus on delivering direct, synthesized answers rather than just pointing to links.

How output and experience differ between search and answer engines

The differences between traditional search and AI-powered answer engines aren’t just technical. They show up in what users see and how they interact. 

From output format to underlying signals, the user experience has fundamentally changed.

From link lists to zero-click answers

  • Traditional search engines: Return a ranked list of links generated by complex algorithms.
  • Answer engines: Deliver full answers, summaries, direct responses, or even product recommendations by blending large-scale training data with real-time web results. They reduce the need for users to click through multiple sites, leading to more zero-click experiences.

From keywords to context

  • Traditional search: Relies on keyword matching, backlinks, and on-page optimization.
  • AI search/generative engines: Rely on semantic clarity, contextual understanding, and relationships between entities enhanced by attention mechanisms and references in credible sources. Even content that doesn’t rank highly in traditional search may appear prominently in AI summaries if it is well-structured, topical, and cited across trusted platforms. 

Key characteristics of answer engines

modern search engine characteristics

Conversational search

LLMs like ChatGPT, Google Gemini, and Perplexity enable conversational interactions, often serving as a more intuitive starting point for users seeking clarity, context, or nuanced understanding. 

Queries tend to be longer and phrased as full questions or instructions.

Personalization and memory

Unlike traditional search, AI-powered search incorporates user context, such as:

  • Past queries.
  • Preferences.
  • Location.
  • Even data from connected ecosystems (e.g., Gmail within Google’s AI Mode). 

This context allows the engine to deliver tailored, dynamic, and unique answers.

Dig deeper: How to boost your marketing revenue with personalization, connectivity and data

Query fan-out

Instead of processing a single query, answer engines deconstruct a user’s question into dozens or even hundreds of related, implicit, comparative, and personalized sub-queries. 

These synthetic queries explore a broader content pool. 

From one query, systems like AI Mode or AI Overviews:

  • Generate a constellation of search intents.
  • Retrieve responsive documents.
  • Build a custom corpus of relevant content. 

Reasoning chains

AI models move beyond keyword matching, performing multi-step logical reasoning. They: 

  • Interpret intent.
  • Formulate intermediate steps.
  • Synthesize coherent answers from multiple sources.

Multimodality

Answer engines can process information in various formats, including text, images, videos, audio, and structured data. They can:

  • Transcribe videos.
  • Extract claims from podcasts.
  • Interpret diagrams.
  • Integrate these inputs into synthesized outputs.

Dig deeper: Visual content and SEO: How to use images and videos in 2025

Chunk-level retrieval

Instead of retrieving or ranking entire pages, AI engines work at the passage level. 

They extract and rank smaller, highly relevant chunks of content to build precise, context-rich answers.

Advanced processing features

User embeddings and personalization

  • Systems like Google’s AI Mode use vector-based profiles that represent each user’s history, preferences, and behavior. 
  • This influences how queries are interpreted and how content is selected, synthesized and surfaced as a result – different users may receive different answers to the same query.

Deep reasoning

  • LLMs evaluate relationships between concepts, apply context, and weigh alternatives to generate responses. 
  • Content is judged on how well it supports inference and problem-solving, not just keyword presence.

Pairwise ranking prompting

  • Candidate passages are compared directly against each other by the model to determine which is most relevant, precise, and complete. 
  • This approach departs from traditional scoring models by favoring the best small sections rather than entire documents

A step-by-step guide to answer-engine-optimized content

Content best practices remain the same – it should be people-centric, helpful, entity-rich with healthy topical coverage based on audience intent.

However, the content creation process needs to incorporate answer-engine optimization best practices in the details.

Here’s our recommended seven-step process for content creation.

answer engine content creation steps

1. Content audit

When auditing existing content:

  • Check current visibility signals, including impressions, rich results, and whether the page is cited in AI platforms like Google AI Overviews, ChatGPT, or Perplexity.
  • Identify signs of content decay to establish a baseline for measuring improvement.
  • Spot and document issues such as:
    • Topical gaps or missing subtopics.
    • Unanswered user questions.
    • Thin or shallow content sections.
    • Outdated facts, broken references, or weak formatting.
    • Grammatical errors, duplicate content, or poor page structure.

2. Content strategy

It is not all about creating new content. 

Your content strategy should incorporate aligning existing content to the needs of answer engines.

  • Retain: High-converting content with high visibility and high traffic.
  • Enhance: Pages with high impressions but low click-through rate, pages with low visibility, impressions, and rich results.
  • Create: Content around topical gaps found in the audit.

3. Content refresh

Update existing content to close topical gaps to make information easily retrievable

4. Content chunking

This involves breaking long blocks into:

  • Scannable sections (H2/H3).
  • Bullet lists.
  • Tables,
  • A short TL;DR/FAQs. 

Keep each chunk self-contained so LLMs can quote it without losing context, and cover just one idea per chunk.

Dig deeper: Chunk, cite, clarify, build: A content framework for AI search

5. Content enrichment

Fill in topical gaps by:

  • Expanding on related topics.
  • Adding fresh data.
  • Drawing on first-hand examples.
  • Referencing expert quotes.

Cover topics AI can’t easily synthesize on its own. 

Cite and link to primary sources within the text (where relevant and meaningful) to boost credibility.

6. Layer on machine-readable signals

Insert or update schema markup (FAQPage, HowTo, Product, Article, etc.). 

Use clear alt text and file names to describe images.

7. Publish → monitor → iterate

After publishing, track organic visibility, AI citation frequency, and user engagement and conversion. 

Schedule content check-ins every 6–12 months (or after major core/AI updates) to keep facts, links, and schema current. 

Make your content LLM-ready: A practical checklist

Below is a checklist you could incorporate in your process to ensure your content aligns with what LLMs and answer engines are looking for.

Map topics to query fan-out

  • Build topic clusters with pillar and cluster pages.
  • Cover related questions, intents, and sub-queries.
  • Ensure each section answers a specific question.

Optimize for assage-level retrieval

  • Use clear H2/H3 headings phrased as questions.
  • Break content into short paragraphs and bullet points.
  • Include tables, lists, and visuals with context.

Build depth and breadth

  • Cover topics comprehensively (definitions, FAQs, comparisons, use cases).
  • Anticipate follow-up questions and adjacent intents.

Personalize for diverse audiences

  • Write for multiple personas (beginner to expert).
  • Localize with region-specific details and schema.
  • Include multimodal elements (images w/ alt text, video transcripts, data tables).

Strengthen semantic and entity signals

  • Add schema markup (FAQPage, HowTo, Product).
  • Build external mentions and links from reputable sources.
  • Use clear relationships between concepts.

Show E-E-A-T and originality

  • Include author bios, credentials, and expertise.
  • Add proprietary data, case studies, and unique insights.

Ensure technical accessibility

  • Clean HTML, fast load times, AI-friendly crawling (robots.txt).
  • Maintain sitemap hygiene and internal linking.

Align with AI KPIs

  • Track citations, brand mentions, and AIV (attributed influence value).
  • Monitor engagement signals (scroll depth, time on page).
  • Refresh content regularly for accuracy and relevance.

Get the newsletter search marketers rely on.


How SEO is evolving into GEO

As the mechanics of search evolve, so must our strategies. 

GEO (generative engine optimization) builds on SEO’s foundations but adapts them for an environment where visibility depends on citations, context, and reasoning – not just rankings.

Many “new” AI search optimization tactics, such as focusing on conversational long-tail searches, multimodal content, digital PR, and clear content optimization, are essentially updated versions of long-standing SEO practices.

New metrics and goals 

Traditional SEO metrics like rankings and traffic are becoming less relevant. 

The focus shifts to being cited or mentioned in AI-generated answers, which becomes a key visibility event and a brand lift moment, rather than just driving traffic. 

New KPIs at the top of the funnel include:

  • Search visibility.
  • Rich results.
  • Impressions.
  • LLM visibility. 

With declining traffic, engagement, and conversion metrics become critical at the bottom of the funnel.

Relevance engineering

This emerging discipline involves:

  • Strategically engineering content at the passage level for semantic similarity.
  • Anticipating synthetic queries.
  • Optimizing for “embedding alignment” and “informational utility” to ensure the AI’s reasoning systems select your content. 
relevance engineering audience strategy

Your website acts as a data hub. 

This also means centralizing all types of data for consistency and vectorizing data for easy consumption, and distributing it across all channels is a critical step. 

Importance of structured data

Implementing schema markup and structured data is crucial for GEO. 

It helps AI engines understand content context, entities, and relationships, making it more likely for content to be accurately extracted and cited in AI responses (53% more likely).

Dig deeper: How to deploy advanced schema at scale

Brand authority and trust

AI models prioritize information from credible, authoritative, and trustworthy sources. 

Building a strong brand presence across diverse platforms and earning reputable mentions (digital PR) is vital for AI search visibility, as LLMs may draw from forums, social media, and Q&A sites.

Connecting the dots: UX and omnichannel in the age of AI search

user journey evolution

The typical user journey is no longer linear. The options for discovery have diversified with AI acting as a disruptor. 

Most platforms are answering questions, are multimodal, delivering agentic and personalized experiences. 

Your audience expects similar experiences on the sites they visit. As the user journey evolves, our approach to marketing needs to change, too. 

In a linear journey, having channel-based strategies worked. 

Consistency of messaging, content, visuals and experiences at every touchpoint are today key to success. 

That means you need an audience strategy before mapping channels to the strategy.

Dig deeper: Integrating SEO into omnichannel marketing for seamless engagement

website as data hub

To make it happen effectively, you need to orchestrate the entire content experience – and that starts with your platform as the foundation.

Your website today needs to act as the data hub feeding multimodal information across channels.

How to make your content discoverable by LLMs

llm search optimization

To show up in LLM-driven search experiences, your content needs more than depth. It needs structure, speed, and clarity. 

Here’s how to make your site visible and machine-readable.

Foundational SEO

The fundamentals of SEO still apply. 

LLMs have to crawl and index your content, so technical SEO elements like crawlability and indexability matter. 

LLMs do not have the crawl budgets or computing power that Google and Bing have. 

That makes speed and page experience critical to maximize crawling and indexing by LLMs

Digital assets

With search going multimodal, your digital assets – images and videos – matter more than they ever did. 

Optimize your digital assets for visual search and make sure your page structure and elements include FAQs, comparisons, definitions, and use cases.

Structural integrity 

Your site and content need to be both human and machine-readable. 

Having high-quality, unique content that addresses the audience’s needs is no longer enough. 

You need to mark it up with an advanced nested schema to make it machine-readable.

Deep topical coverage

Ensure your content aligns with the best practices of Google’s E-E-A-T.

People-first content that:

  • Is unique.
  • Demonstrates expertise.
  • Is authoritative.
  • Covers the topics that your audience cares about. 

Make your content easy to find – and easy to use

While the building blocks of SEO are still relevant, aligning with LLM search calls for refining the finer points of your marketing strategy to put your audience before the channels. 

Start with the basics and ensure your platform is set up to let you centralize, optimize and distribute content. 

Adopt IndexNow to push your content to LLMs instead of waiting for them – with their limited computing and crawling capabilities – to crawl and find your content.

Thank you, Tushar Prabhu, for helping me pull this together.

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Google Business Profiles Posts creation tool refreshed

Google has updated the Google Posts creation tool within Google Business Profiles. The update makes it easier to use, by placing all the posts in a centralized location with an easier way to manage those posts.

This update should be live for all of you by now, as it quietly launched last Friday.

What changed. Google made several changes to the Google Posts screen, the changes were summarized by Lisa Landsman from the Google team. She wrote on LinkedIn the list of changes, which includes:

  • Centralized Posts Hub: The “Add Update” button has been replaced with a new management screen where you can easily see and manage all your posts in one place.
  • Simpler Creation Process: The post creation experience is now streamlined into a single dialog, allowing you to quickly create updates, events, or offers from one screen.
  • Enhanced Management View: You can now view key details for each post, such as creation date, status, and post type, making it easier to track and make changes.
  • Minor Visual Improvements: Google introduced small visual changes throughout the experience to make it more intuitive and enjoyable to use.

What it looks like. Here is a GIF of the new refreshed interface for Google Posts:

What are Google Posts. Google Posts allows businesses to post updates on your Business Profile to share announcements, offers, updates, and event details directly with your customers on Search and Maps. These posts show up within Google Maps and Google Search for searches on your business and within your Google local panel.

You can learn more about Google Posts in this help document.

Why we care. If you are a business with a local footprint or do marketing for a local business, Google Posts can help you get more attention and conversions for that business. By pushing updates, promotions, offers, events and so forth in your local listing on Google, it can attract new and repeat business for the organization.

This new interface may make things easier for you and your business to manage.

Read more at Read More

AI traffic is up 527%. SEO is being rewritten.

For the past year, we’ve talked about how AI might change search.

That moment is over.

This is no longer a “what if” conversation. We are seeing a measurable shift in web traffic movement.

At Previsible, we analyzed LLM-driven traffic across 19 GA4 properties and found something undeniable: AI platforms like ChatGPT, Perplexity, Claude, Gemini, and Copilot are already influencing how users find and engage with websites.

Not in theory. In actual traffic.

  • In just five months, total AI-referred sessions jumped from 17,076 to 107,100.
    • That’s a 527% increase between January and May 2025.
  • Some SaaS sites are now seeing over 1% of all sessions coming from LLMs.
  • Traffic from ChatGPT, Claude, and others is doubling and tripling across verticals like Legal, Health, and Finance.

If you work in SEO, content, or growth strategy, this moment will feel familiar. Like when mobile-first flipped ranking factors overnight. Or when social transformed from brand garnish into a legitimate acquisition engine.

Every time the rules changed, early adopters won. This time is no different, except it’s moving faster.

So the question isn’t if AI is changing your traffic mix. It’s how much it already has, without you realizing it.

TL;DR: What you need to know about AI search

  • AI discovery is up 527%: Comparing the first 5 months of 2025 with the same time frame in 2024 we see how total sessions from LLMs (like ChatGPT, Perplexity, and, Gemini) surged from 17,076 to 107,100 across 19 GA4 properties.
  •  LLMs are already part of the user journey: Some sites, especially in SaaS, are seeing over 1% of all traffic initiated by AI results. Primarily to the bottom of funnel users and targeted prospects. 
  • High-consultive industries are leading:  Legal, Finance, SMB, Insurance, and Health make up 55% of all LLM-driven sessions, showing that users turn to AI for complex, contextual questions.
  • ChatGPT leads, but the field is widening: ChatGPT still dominates, but Perplexity, Copilot, and Gemini are gaining real traction. 
  • SEO is splitting and speeding up:  It’s no longer just about ranking in Google. You now need to earn visibility in AI assistants, summaries, and conversational UIs, and they prefer content that’s structured, clear, and genuinely helpful.

AI discovery is up 527% – and it isn’t waiting for you to rank

AI is reshaping web traffic at warp speed.

When we compared January-May 2025 to the same period in 2024, we saw total AI-sourced sessions across 19 GA4 properties jump from 17,076 to 107,100.

That’s a 527% year-over-year increase.

In one standout example, ChatGPT went from just 600 visits/month in early 2024 to over 22,000/month by May 2025.

And when you zoom in by industry, the growth in share is just as dramatic:

  • Legal: 0.37% → 0.86% of sessions from LLMs
  • Health: 0.17% → 0.56%
  • Finance and SaaS are showing similar trajectories, in some cases, exceeding 1% of total traffic

LLMs are becoming a legitimate discovery channel, and they’re doing it fast.

Why it matters:

Most SEO strategies are still stuck in the old timeline:

Optimize → Wait → Crawl → Rank → Convert

That playbook was built for Google’s crawling and indexing cycle – a system that rewards patience, backlinks, and slow iteration.

But LLMs don’t care about that process.

They don’t crawl the same way. They don’t rank in the same order. They don’t wait for your canonical tag to propagate.

They surface content immediately if it’s useful.

The only thing that matters is whether your content helps answer the user’s question in a way the model trusts.

No indexing delay. No competition for blue links. No sandbox.

Just: Is this helpful right now?

That rewires everything.

Content doesn’t need to appear at the top of Google’s SERPs to be found. It needs to be clear, structured, and cited by the model – whether in a blog, a help doc, a case study, or a knowledge base.

And it means the old mindset — publish, wait, and hope Google figures it out — is now dangerously outdated.

We’ve entered the “instant surfacing era” of SEO, where content can be discovered before it even ranks.

If your SEO strategy doesn’t account for that, you’re already behind.

Where LLM traffic is actually going: The real breakdown

Not predictions. Not vibes. Actual traffic.

In the 2025 Previsible AI Data Study, we analyzed LLM-driven sessions across 19 GA4 properties to understand where platforms like ChatGPT, Claude, Gemini, Copilot, and Perplexity are already influencing real user behavior.

Here’s what we found:

  • Legal topped the chart, with 0.28% of total traffic from LLMs
  • Finance followed at 0.24%, showing strong traction in regulated markets
  • Health came in at 0.15%, with a mix of ChatGPT, Gemini, and Perplexity sources
  • SaaS showed breakout performance but only in some domains, with a selected few getting 1%+ of total sessions from LLMs

But the most important finding?

Legal, Finance, Health, SMB, and Insurance account for 55% of all LLM-sourced sessions across the dataset.

Why these five?

Because people aren’t using LLMs like search engines.

They’re asking contextual, trust-heavy, consultative questions. The kind they’d normally ask a real expert:

  • “What should I ask a lawyer before signing this contract?”
  • “Is this medication safe with XYZ conditions, XYZ personal information, and XYZ symptoms?”
  • “How do I structure payroll as a small business owner that owns a flower shop with 5 employees, 2 part-time and 3 full-time?”

These are high-context moments, and that’s where LLMs are starting to win.

So if your brand plays in a space where trust, clarity, or expertise matters, and your content isn’t optimized for AI, you’re likely missing the exact kinds of requests these models are built to answer.

Model-level insight: Who’s actually driving the traffic?

It’s not just about how much AI traffic you’re getting, but also about who’s sending it. 

Across nearly every vertical, ChatGPT is the dominant contributor, consistently driving 40–60%+ of all LLM traffic.

But this isn’t a single-player story. Other models are gaining share, especially in specific sectors:

  • Perplexity is surprisingly strong, contributing over 0.073% of Finance traffic, 0.041% in SMB, and 0.041% in Legal.
  • Copilot makes up a meaningful chunk of Legal (0.076%) and Finance (0.036%) sessions. Second only to ChatGPT in both.
  • Gemini is emerging in Insurance (0.0075%) and SMB (0.035%).
  • Claude is still marginal (<0.001% in most industries), but present across the board.

Bottom line: While ChatGPT leads, LLM discovery is becoming a multi-model landscape, and performance is beginning to vary by vertical and use case.

This has two implications:

  1. You can’t just optimize for one model. Visibility across platforms will matter more over time.
  2. Different models favor different formats, sources, and structures. Understanding how each one pulls and presents content is your next strategic edge.

How to adapt to the LLM traffic surge starting now

If you’re still treating LLMs like a 2026 conversation, you’re already behind.

The shift is no longer theoretical; it’s happening in your analytics right now. And the teams that move early will stay visible and build a lasting competitive edge.

Here’s how to respond:

1. Start tracking LLM-driven sessions, even if it’s imperfect

You can’t manage what you don’t measure.

Set UTM parameters for AI platforms. Monitor for unexplained spikes in direct traffic. Annotate content that gets surfaced in ChatGPT or Perplexity.

Look for surges in branded search that coincide with AI exposure. Start tracking mentions, not just clicks.

Attribution won’t be perfect – but waiting for standardized reporting is how you miss the wave.

2. Structure your content for AI interfaces, not just human readers

LLMs favor content that’s clean, clear, and scannable. Think bullet points, tight intros, FAQ sections, and strong summaries.

If featured snippets were SEO 2.0, this is 3.0. Answers need to perform inside a model’s response, not just on a results page.

3. Shift your mindset: from ranking to being selected

It’s not about being in position #1 – it’s about being the answer a model chooses to surface.

That means relevance, clarity, and trust signals matter more than ever.

Audit the content already being cited or linked by AI platforms and build a strategy for becoming the go-to source in your space.

If you don’t, your competitor will.

4. Make your content AI-ready across the entire funnel

This isn’t just about blogs.

Product pages, help docs, onboarding flows – every touchpoint is now eligible to be surfaced in an AI conversation.

You need cross-functional alignment between SEO, content, UX, and product teams to ensure your entire site is conversation-ready.

SEO isn’t dying – it’s evolving

SEO is splitting into two tracks: traditional search and LLM-driven discovery.

The second one is growing faster than anyone expected and it’s already rewriting how users find answers and how brands earn visibility.

Move now. Learn fast. Or get left behind.

Read more at Read More

Why your content strategy needs to move beyond SEO to drive demand

Why your content strategy needs to move beyond SEO to drive demand

For many years, SEO has been the lifeblood of content marketing.

Keyword research, quality content, blog optimization, and organic traffic became the gospel of lead generation. 

But times have changed.

Take the Great Decoupling of organic impressions from clicks as a result of Google’s AI Overviews

Or the shift in user behavior away from Google search and toward LLM-powered engines, like ChatGPT

With these changes, and many others, how we think about content needs to change as well.

If your content strategy still relies on keyword lists and Google ranking to move the needle, you risk falling behind. 

Future-forward competitors are learning to adapt to the new landscape of assistive engine optimization, personalization, and immersive content.

This article tackles how to move beyond traditional SEO and build a content engine that powers brand demand across search engines and formats.

What is demand generation content?

Demand generation is an area of marketing focused on generating awareness of and interest in your brand. 

Demand generation content, then, is content that speaks to the needs of your target audience, gets you noticed, and makes people aware of your products or services. 

It isn’t just MQL capture, though. It’s the full system of:

  • Educating buyers.
  • Comparing your brand to competitors.
  • Accelerating prospective buyers through a decision cycle.

The best demand gen content:

  • Provokes curiosity.
  • Answers buyers’ burning questions.
  • Challenges users’ assumptions.
  • Turns competitors on their heads.
  • Offers value (before the “ask”).
  • Addresses purchase-oriented queries, not just informational searches.

The problem with the traditional “SEO-first” approach to content is that this content typically (not always) involves targeting what people are already searching for. 

Which makes sense, because most brands want to capture volume. But this content does little in terms of anticipating users’ questions before they’re asked. 

Content in today’s competitive (and comparative) environment needs to create desire, long before your audience even knows what they’re looking for.

The limitations of traditional SEO in demand gen

Now, SEO still matters

Most of the traditional approaches to optimization still apply, and I don’t suspect Google will disappear anytime soon. 

But SEO should not be the sole driver of discovery or your demand gen strategy. 

AI and zero-click searches are changing the SERPs

In 2024, 25.6% of desktop and 17.3% of mobile Google searches ended without a click, according to Semrush data

And those numbers are only expected to grow, especially with the growing prevalence of AI Overviews, featured answers, etc.

This shows that ranking near the top of the SERPs isn’t always enough to drive immediate traffic to your site from those searches.

Trying to rank at the top is still a worthwhile endeavor, as it increases your chances of being seen. 

But there are many more pieces of SERP “real estate” for users to see before they ever decide to click on your site.

When users can get answers without having to click through, you lose the ability to move prospective “visits” through the funnel. 

Keyword competition is fierce

Also, the highest value keywords you want to rank for are probably the most competitive. 

Hundreds, if not thousands, of brands are publishing content optimized for the same keywords. And there are only 10 spots to rank. 

Even if your content is technically better, it still might not stand out. You’re competing against the authority and relevance of other domains – often, big players.

Chasing keywords, then, doesn’t quite work as well as it used to. So, your approach to content needs to be revisited.

Buyers don’t just rely on Google anymore

Google is still the leading search engine in town, but the prevalence of LLM-driven engines like ChatGPT and Perplexity is shaking things up. 

Users are now able to ask uber-specific questions, receive personalized answers, and seek further clarification on those answers within the answer engines.

They don’t necessarily need Google or you to tell them what they need to know or want to hear.

Also, there are other channels driving the conversations – Instagram, podcasts, Reddit, YouTube, and forums, just to name a few. 

A growing portion of B2B buyers spend more time on self-directed research across these types of channels, Gartner reports.

This means that you need to engage potential buyers where they actually are, not just where search engines decide to place you. 

From SEO-centric to buyer-centric: How to create content that drives demand

If you want to generate real, tangible demand for your brand, you need to shift your content strategy away from keywords and toward buyer behavior. 

That means creating content in anticipation of buyers’ needs, questions, comparisons, and buying triggers. 

Here’s how to do that.

1. Identify common friction points

Don’t ask “What are people searching for?”

Instead, ask “What are people debating internally before they buy?”

Any SEO tool can surface keywords like “best restaurant POS” or “best POS for cafes,” but they won’t drive the strategy in terms of addressing buyer friction points, comparisons, etc.

And the importance of addressing friction points becomes obvious when you do any LLM search for your keyword…

Best POS for restaurants - ChatGPT

Here, we see ChatGPT’s output for “best POS for restaurants,” where it organizes recommendations by:

  • Business type (e.g., “Enterprise”).
  • Device (e.g., “Mobile/Tablet Use”).
  • Budget (e.g., “Budget-Friendly”).

It then prompts you as to whether you’d like to see a “comparison chart” of these options side-by-side.

ChatGPT - comparison chart

Targeting and ranking for “best restaurant POS” is:

  • Likely not feasible given the high competition.
  • Not sufficient in targeting all of these “comparison”-style queries.

So, instead of creating a “Best Restaurant POS” page or listicle, create content like:

  • Hidden Costs of “Cheap” Restaurant POS Platforms: Toast vs Square vs [our Brand]
  • Best Restaurant POS for Tablet: Streamline Your FOH Tech Stack
  • Your Current Restaurant POS Isn’t Working – X [Competitor] Alternatives to Try
  • When to Use Toast POS for Your Restaurant (and When You Need Something Better)
  • Cloud vs. Legacy POS Systems: Which One Is Right for Your Restaurant?

These topics come from actual buying friction. 

They don’t simply target high-search-volume keywords but contain valuable information that aids the buyer’s decision and can easily be interpreted by LLMs. 

Also, this content tends to work better for cross-channel repurposing, such as in email, paid social, and sales enablement, not just organic search.

Aren’t sure what friction points to address? 

Talk to your sales team and customer success managers.

The phrases buyers use in calls and email threads are content goldmines. 

It’s also worth checking out ChatGPT and the like to find “gaps” that might be missing in your content (e.g., product features and benefits, brand comparisons, pricing tables, etc.)

2. Prioritize first-party data over third-party sources

Traditional SEO often depends on tools like Semrush or Ahrefs to surface content opportunities. 

While this data is certainly valuable, it only really tells you what people are searching for, not what they are actually consuming/interacting with.

First-party data sources, such as Google Analytics 4 or your website’s native analytics, can provide valuable insight into:

  • How users are engaging with your site.
  • What they’re searching for on your site (site search).
  • What’s leading to conversions. 

With this information, you’re better positioned to create content based on what your target audience is most interested in and what will drive them to take action, rather than chasing monthly search volume. 

Here are a few good sources of user behavior data:

  • GA4 for conversions, traffic sources, or pages visited.
  • Your chosen CRM tool (e.g., HubSpot) for lead-to-conversion flow.
  • Social media, for high-engagement and/or high-CTR content.
  • Email analytics, such as CTR or reply rates.
  • Support Center, for customer questions and complaints.

First-party analytics can help guide your demand generation strategy in a few ways. 

For one, it can help you address gaps in your existing content, especially if you see users falling off after a particular page. 

It can also help you better leverage (CRO-wise) the content that’s performing well, to hopefully generate more conversions from your most popular content.

For example, if your GA4 data shows that you have a service page that gets a lot of clicks but few conversions, you might want to add content like:

  • “How to Know if [Service] is Right for You – Weigh Your Options.”

Or, if you see from your CRM that leads often drop off after downloading your gated content, consider following up with a targeted email campaign with a subject line like:

  • “Thinking about [Service]? Read This First…”

Don’t rely solely on search volume to drive your content strategy. Volume without relevance will not generate the results you want!

Get the newsletter search marketers rely on.


3. Use content to support the sales process

Demand generation content is not just about lead capture. It’s a tool for generating user interest, addressing friction points, and continuing the sales conversation. 

Who said your best content needs to live on your website? There are many different content formats that can be used to drive sales.

Instead of focusing all of your time on web pages and blogs, think of different content assets your sales team could use to support their conversations with prospective customers.

For example:

  • Objection-handling one-pagers (“Is [Brand] Worth the Cost?”).
  • Client testimonials praising your product/service against your competitors.
  • Competitive battlecards repurposed into comparison guides.
  • Industry-specific guides for different verticals.
  • Short tutorial videos explaining your products or integrations.

It is important to have content that addresses top-of-funnel interests and bottom-of-funnel buying considerations, and your website should include places for this. 

But often, the difference makers occur in the conversations prospective customers have during trials or with your sales team.

Demand generation content should build buyer confidence. Buyer confidence shortens the sales cycle. 

Better content leading to higher impact means a better ROI for your business – and this can happen during Sales, not just through content on your website.

4. Form/communicate a clear point of view

Users are spoiled for choice when it comes to “helpful” content. 

Any Google search is likely to produce a surplus of listicles, guides, videos, etc. 

While “value” may be the goal, this content is often created with SEO in mind – high word count, keyword dense, etc.

But what many brands fail to do is offer a distinct point of view. 

People don’t want to read another article they can find anywhere else (and what Google AI Overviews can summarize for them). 

They want something actionable, unique, thoughtful, etc. – something that will make their lives better!

So, how do you do that in content?

First, you start with a hook. Ideally, one that taps into a tension your audience already feels. It could be:

  • A misconception (“Beauty bloggers say you need this, but you don’t…”)
  • A pain point (“Your skincare routine isn’t doing you any favors…”)
  • A bold opinion (“Your current restaurant POS sucks…”) 

Hooks don’t just grab attention. They immediately communicate the relevance of your content to user interests. 

Then, you make your argument. Instead of regurgitating the same old information, connect the dots your way. 

For example, instead of a boring guide on “How to Create and Send an Invoice,” show a real customer using your platform to create an invoice step by step. 

Something like: 

  • “If you’re a small business owner like me, then you know creating invoices manually is super time-consuming. Here’s what I do to automate my invoicing and get paid faster…”

For another example, a typical “10 Best Summer Dresses for Summer” listicle becomes “10 Girlies Top Picks – What We’re Wearing This Summer,” with reviews from real customers. 

In short, try to:

  • Use real examples from your own customers.
  • Incorporate stories.
  • Inject your unique brand voice.
  • Back up unconventional wisdom with evidence. 

Bring something interesting to the SERPs!

In demand gen, this isn’t about being contrarian for clicks. 

It’s about helping the reader see their problem differently, and how they can find the solution outside traditional methods and in your product/service.

5. Showcase content on the right distribution channels

Now, you’ve created all this good content. That’s great. But you want it to get seen!

The traditional approach to content marketing was to wait for SEO to do its thing. That can take weeks or months. 

Who wants to wait to see results?

Fortunately, there are many platforms available if you want to get your content in front of customers. You just need to identify the right ones. 

For demand generation, these platforms tend to work the best:

  • LinkedIn: B2B buyers, executives, decision-makers, agency leads, founders.
  • YouTube: DIYers, visual learners, problem-aware buyers, comparison shoppers.
  • Meta: Business owners, impulse buyers, local service seekers.
  • Email: Existing leads, subscribers, trial users, pipeline prospects.
  • X: Thought leaders/influencers, early adopters, B2B.
  • TikTok: Impulse buyers, creators, DTC shoppers, SMB founders.
  • Reddit + Facebook Groups: High-intent researchers, skeptics, deep divers, niche hobbyists.

There are others. 

It’s important to narrow your focus to the channels your prospective buyers tend to use most and that align with their shopping behaviors.

Your Google Analytics can be a great source of identifying where your referral or social traffic is coming from. 

Your sales team may also have insight into where you get most of your business.

The misconception that you need to be everywhere is exactly that – a misconception. 

It’s better to create highly targeted content that appeals to the audience on that particular platform, rather than a wide-cast blast of content to every outlet.

Also, you can usually optimize your content for search engines at the same time, for good measure. Long-term potential plus quick gains!

Demand gen example: How Lavender does it right

Lavender is an AI email assistant and sales intelligence platform designed to help reps move faster and close more deals. 

But what really sets them apart isn’t just the product – it’s the content strategy behind it.

While they have a blog, it’s far from your basic “top guide” type content. 

Just take, for example, some of their recent topics: 

  • “11 Reasons NOT to Buy Lavender” 
  • “Lavender’s Secret Sauce for Onboarding New SDRs”
  • “Cold Email Wizardry 101”

Also, their LinkedIn presence is consistently valuable, entertaining, and tactical. 

They have a clear POV and humorous tone of voice and are shaking up online conversations. 

Through this content, prospective customers can discover the brand, engage in conversations, and walk away with something new. 

And in the sea of other AI tools, this differentiation is essential. 

They share this content on the platforms that matter most to them – well before it hits the Google ranks. 

Demand gen content that goes beyond the status quo

SEO content still has its place, but the traditional approach to optimizing content for search engines has been shaken up. 

There are many more “no click” options for users to consider than ever before. 

Ranking at the top isn’t a foolproof strategy.

A more adaptive approach to content creation is needed for brands to generate new demand and customer interest. 

This requires content that addresses user friction, communicates a clear POV, and attracts users at relevant channels. 

It also requires looking outside SEO tools for topic ideas and data. It’s not only about what’s searchable.

The more you can differentiate your brand, the better. 

And the more you can be adaptive to the LLM-dominated landscape, the less dependent you will be on the SERPs to drive your brand’s traffic and sales. 

Read more at Read More

AI ate my traffic by Campaign Monitor

Campaign Monitor by Marigold

Have you noticed a dip in your organic traffic lately? You aren’t imagining it.

AI-powered search engines, such as Google’s AI Overviews, ChatGPT, and Perplexity, are transforming the way people discover and consume content. Instead of clicking your link, users are getting instant AI-generated answers – often built from your content – without ever visiting your site.

You’re still publishing and optimizing. But your results are shrinking.

Welcome to the AI discovery era, where your hard-earned traffic is the appetizer on someone else’s plate.

SEO isn’t dead – but it’s no longer yours

Organic rankings no longer guarantee visibility. AI search experiences are removing the middle step between “search” and “solution.” Your website often gets cut out in the process.

If your strategy is solely focused on SEO and attracting clicks, your success depends on platforms you don’t control.

The answer: reclaim what you own

In this new landscape, the smart move isn’t just chasing new traffic – it’s protecting and activating the audience you already have.

That means doubling down on email.

Why? 

Email remains:

  • Direct (no algorithm middleman)
  • Personal (built for 1:1 relationships)
  • Segmentable (think personalize, automate, scale)

In fact, according to Marigold’s 2025 Consumer Trends Index Report, 77% of respondents stated they were likely to engage with an email focused on exclusive VIP offers, while 86% said they would be motivated to engage with sale or holiday promotions.

But here’s the kicker: to segment messaging and remain consistent in your outreach, you need a platform built for fast-moving businesses.

Introducing Campaign Monitor by Marigold – your revival engine

Campaign Monitor isn’t just for sending newsletters. It’s your command center for fostering, rebuilding, and monetizing opportunities.

Here’s how Campaign Monitor helps power your revival:

List management at scale

With traffic declining, your contact and email lists are more valuable than ever, and they are unique to your business. Through Campaign Monitor, you can use your owned lists to:

  • Segment by behavior, purchase history, or engagement.
  • Identify dormant contacts and re-engage them.
  • Clean your list to improve deliverability and performance.

Automation that nurtures (while you sleep)

Don’t send one email and hope. Use Campaign Monitor to:

  • Welcome new subscribers with personalized messages.
  • Deliver value-driven nurture sequences with easy-to-use pre-built journeys.
  • Trigger timely emails based on behavior, like abandoned carts or event registration. With intelligent automation, you can turn a cold list into a steady stream of engaged leads and real conversion opportunities – no late nights required.

Personalization that cuts through the noise

Generic emails are easy to ignore. Campaign Monitor allows you to:

  • Personalize subject lines, product recommendations, and timing.
  • Use dynamic content to deliver the right message to the right person.
  • A/B test and optimize continuously.

Real metrics. Real decisions.

AI platforms don’t share data. Campaign Monitor provides insights into audience engagement and campaign performance, allowing marketers to optimize their strategies:

  • See who’s opening, clicking, and converting.
  • Track revenue generated from each campaign.
  • Attribute performance down to the segment or workflow.
  • No guesswork. Just growth.

So… what now?

AI may have eaten your top-of-funnel traffic, but that doesn’t mean your pipeline is doomed.

Now is the time to:

  • Rebuild your list with intent-driven offers.
  • Modernize your email strategy with segmentation, automation, and personalization.
  • Use Campaign Monitor to make it all scale – without burning out.

Final word

AI isn’t your enemy. Passive marketing is.

The smartest brands are adapting by doubling down on what they can control: their list, their messaging, and their subscriber relationships.

With Campaign Monitor by Marigold, you’re not just surviving the AI age – you’re reviving your funnel for the long haul.

Read more at Read More