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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.

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ChatGPT-5 Is Here: What Search Marketers Need to Know

ChatGPT-5 is here. Rolling out to 700M+ weekly users.

ChatGPT-5 – Features

With it comes the usual hype and hot takes.

But if you’re in digital marketing, the real question is:

How does this change how people discover, research, and buy?

After months of using ChatGPT extensively (and watching competitors like Google, Perplexity, Claude, and Grok evolve), one thing’s clear:

The brands that win in AI search aren’t just chasing keywords and backlinks.

They’re building topical authority, earning third-party mentions, showing up on YouTube and social, and shaping how people talk about their brand.

In other words: they’re optimizing for how they get recommended in answers — no matter who’s asking the question.

If you want to see exactly how your brand shows up in AI answers, check out our guide to the best LLM tracking tools.


 

What’s New in ChatGPT-5

GPT-5 is definitely an improvement over GPT-4. But the early feeling among marketers, business owners, and even software developers is that it might not be the huge leap many thought it would be.

But still, in certain areas, there are some notable gains.

Here’s a breakdown of what’s new:

Overall Capabilities

In Sam Altman’s words: GPT-4 was like talking to a college student. GPT-5 is more like talking to an expert. A legitimate PhD in any topic area that you want. And it will be broadly available to the free tier, with limits.

For a lot of queries (think fairly basic questions), it’s much faster too. And while you used to have to choose which model to use for specific tasks to prioritize speed or raw ability, GPT-5 now makes that decision for you.

ChatGPT-5 – Models

No more messing around with lots of different model names.

Better Writing

OpenAI claims that GPT-5 should write better, more natural content. For SEOs and digital marketers, this should mean improvements when it comes to AI-assisted content.

In particular, GPT-5 is significantly more accurate than its predecessors. Compared to previous models like GPT-4o and OpenAI o3, it hallucinates 4 to 10 times less often, depending on the task.

ChatGPT-5 – Reliability & Accuracy

On typical ChatGPT prompts, the error rate drops to just 4.8% when using its “thinking” mode. This makes it much more reliable for research, planning, and everyday use.

But its outputs are still not a replacement for human-reviewed, high-quality content.

Coding

The biggest improvements with ChatGPT-5 over GPT-4, at least per OpenAI, are in the math and coding departments. The company seems particularly excited about its advanced coding abilities, trying to beat out competition from Google (Gemini) and Anthropic (Claude).

“It opens up a whole new world of vibe coding, with some rough edges.”


I can see these improved coding capabilities being particularly useful for custom use cases.

For example, I could upload my fitness levels and preferred workouts, then ask ChatGPT to build a workout app that can give me specific workouts and help me track my progress over time.

Voice Mode Enhancements

You get more control over how to interact with the chatbot and, eventually, also the voice assistant. You’ll be able to choose between styles like concise and professional, or thoughtful and supportive.

Memory

The goal in terms of memory is for ChatGPT to really understand what’s meaningful to you. This way, the tool has more context about your specific situation. This should in theory lead to more tailored responses.

Plus, by mid-August, ChatGPT is gaining access to Gmail and Google Calendar. I can see this being super powerful from a business organization and productivity perspective.

Safety

ChatGPT-5 is significantly less deceptive. They have completely overhauled how they do safety training. Before, it was either to outright refuse or comply. Now it’s more nuanced.

ChatGPT-5 – Deception

OpenAI also introduced a new concept called “safe completions.” Essentially, it should maximize helpfulness, within safety constraints. If the model has to refuse, it will tell you why.

Knowledge Cutoff

According to OpenAI’s documentation, the model’s training data cutoff was Oct 1, 2024.

OpenAI – GPT-5 model

That’s newer than GPT-4o’s October 2023 cutoff, so it has a better grasp of late-2024 news changes, other trends.

It means more up-to-date baseline knowledge — but you’ll still need real-time data for anything happening in 2025.

Note: As with any new major release, it’s worth testing out for yourself to understand its capabilities for your specific needs. It’s easy for reviewers to cherry pick examples of it working incredibly well or not so well. The only way to know for sure is to try it yourself.


What Marketers Need to Know

ChatGPT-5 is a clear step up from GPT-4, with huge potential for both business and personal use.

But the fundamentals for marketers haven’t changed — the way you use LLMs and what they mean for your strategy still comes down to the same core principles.

1. ChatGPT-5 Still Pulls From Search Engines

We don’t know the exact mix GPT-5 uses for live lookups.

It could still be leaning on Google like ChatGPT-4o. It could be Bing. Most likely, it’s a blend of both plus OpenAI’s own retrieval system.

Either way, the rule for marketers stays the same:

  • If you want to be in the mix for citations, you need to be findable in search engines
  • That means optimizing for the right terms, having a technically sound site, and matching search intent

Optimizing for AI doesn’t replace SEO. It just makes SEO table stakes for getting recommended in AI answers.

2. AI Visibility Is a Multi-Surface Challenge

Here’s the reality today:

ChatGPT currently dominates in terms of total users. And its usage is growing:

Desktop users using AI

But aside from ChatGPT, you need to consider the larger AI search space.

While ChatGPT reaches ~5X more users than Google’s Gemini app, the gap is not necessarily going to stay like that.

Traffic Overview – ChatGPT

Just think back to the rise of Slack.

Guess who eventually reached the most users?

Slack vs Microsoft Teams

And the broad LLM technology behind ChatGPT is being used by all of its competitors.

For Google, that’s in AI Overviews (which reach nearly 17% of US queries) and Google AI Mode (their chat search experience).

Semrush Sensor – SERP Features

Smaller competitors like Claude, Perplexity, Grok are still gaining share fast.

What’s the pattern?

AI discovery is not just tied to one tool. It’s happening across multiple generative engines — all with their own rules.

You need a brand strategy that works across:

  • Prompts and questions
  • Web results and citations
  • Source quality and brand authority

Don’t just focus on ChatGPT because it’s the biggest, and your brand currently shows up there.

If your customers are using Google AI Mode, Claude, or Perplexity, and you’re not showing up in these tools, you’re leaving money on the table.

3. Brand Mentions > Backlinks

Search engines reward links.

LLMs reward mentions.

If your brand keeps showing up in high-quality content — and that content is clear, well-structured, and semantically relevant — you get pulled into more answers.

Whether GPT-5 now cites sources differently or not, it’s trained on the same core patterns, meaning:

Strong brands get surfaced more often.

If you want to future-proof your visibility:

  • Publish content that earns mentions naturally
  • Use clear product and brand language that LLMs can understand
  • Strengthen your position in category-defining content

Want to know where you stand right now?

Use Semrush’s AI SEO Toolkit to find out exactly how you fare against your competitors in terms of AI citations across Google AI Mode, SearchGPT, and Perplexity:

Semrush AI Toolkit – Citations

You’ll also see how often your brand is mentioned by these tools over time, so you can track the impact of your LLM optimization efforts:

Semrush AI Toolkit – Citations – Brand mentions

4. Prompts Are the New Keywords

People don’t talk to LLMs like they search Google.

Instead of “best bed sheets,” they ask:

  • “What are the comfiest bed sheets that don’t get too hot at night?”
  • “I need high-quality sheets that won’t pill after a few washes. Any brand recs?”
  • “What do hotels use for sheets, and can I buy something similar for home?”

The winners in ChatGPT-5 aren’t the ones who just rank in Google.

They’re the ones whose brand comes up when your ideal customer asks tools like ChatGPT a high-intent question.

Optimize for this by building a prompt library based on customer jobs-to-be-done.

Do this even faster with tools like Semrush’s AI SEO Toolkit. Just enter your domain name and head to the “Questions” tab.

Scroll down and you’ll see questions real customers in your industry are asking.

Semrush AI Toolkit – Questions

Create new content around these questions, and use them to optimize your existing content.

Then, use the “Visibility” tab to monitor your share of voice across not just ChatGPT, but also Google’s AI Mode, Perplexity, and Gemini:

Semrush AI Toolkit – Share of Voice by Platform

How to Win With GPT-5

GPT-5 is faster, more accurate, and more powerful.

But it won’t change the underlying reality for marketers:

If your brand isn’t clear, trusted, and visible in high-quality content, you will be invisible in AI answers.

Learn more about what really matters in our guide to LLM visibility.

The post ChatGPT-5 Is Here: What Search Marketers Need to Know appeared first on Backlinko.

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July 2025 Digital Marketing Roundup: What Changed and What You Should Do About It

Another month, another avalanche of platform updates and game-changing industry developments. 

Not all the updates will move the needle for your business, but some absolutely will. That’s why I cut through the noise to bring you the changes that actually matter for marketers and agencies.

These 20 trends from July 2025 are reshaping how we think about visibility, attribution, and growth. Let’s take a closer look.

Key Takeaways

  • Search is evolving fast: AI citations favor high-traffic sites, while Google adds audio responses and Instagram posts show up in search results.
  • Attribution is getting better: Meta restores advanced mobile tracking, while Apple now indexes screenshot text for app store optimization (ASO).
  • Automation is winning: Manual campaigns are dying as platforms push AI-driven optimization.
  • Trust drives B2B: LinkedIn data shows 94 percent of marketers rank trust as the top driver of brand success.
  • Video dominates everywhere: From Instagram Trial Reels to connected TV partnerships, video content rules.
  • Download the full roundup report for July 2025 at the NP Digital website.

Search and AI Evolution

The search world is transforming faster than most marketers can keep up. Here’s what’s changing and why it matters.

High-Traffic Sites Get More AI Citations

What happened: Ahrefs analyzed mention share versus website traffic and found something crucial. Higher-traffic websites get cited more frequently in AI-generated responses. This creates a powerful feedback loop where traffic attracts more traffic through AI mentions.

Ahrefs' Brand Radar.

Why it matters: We’re seeing the birth of a new authority signal. AI platforms like ChatGPT, Perplexity, and Gemini are moving beyond content quality, favoring sources that already get traffic and engagement. If you’re not driving consistent traffic, you’re essentially invisible to AI systems that millions of people use daily.

What to do:

  • Prioritize strategies that grow traffic holistically across all channels.
  • Track brand mentions in AI platforms as a new key performance indicator (KPI) alongside traditional search rankings.
  • Repurpose your highest-traffic content across multiple formats and platforms.
  • Build out topic clusters around your most successful content themes.

Google Adds Audio Search Responses

What happened: Google launched “Audio Overviews”—AI-generated spoken responses that sound like podcast conversations between two voices. One explains the topic, while the other asks clarifying questions, making complex information more digestible.

Google's Audio Overviews.

Why it matters: Don’t confuse this with text-to-speech. It’s a fundamental shift toward conversational search experiences. Users can now get rich, contextual answers without reading a single word. For content creators, this means your content needs to work in multiple formats.

What to do:

  • Write with conversation in mind, using natural language and clear explanations.
  • Structure content with clear Q&A sections that can be easily extracted.
  • Optimize for featured snippets, as these often feed AI Overview systems.
  • Test how your key topics sound when read aloud, and adjust accordingly.

Instagram Posts Show Up in Google Search

What happened: Starting July 10, Instagram began allowing search engines to index public content from professional accounts. Your Instagram posts can now appear in Google search results, extending reach beyond Instagram’s internal algorithm.

Why it matters: Social media keeps developing as an SEO channel. This bridges the gap between social engagement and search visibility, giving brands a new way to rank for competitive keywords through social content.

What to do:

  • Audit your Instagram content strategy with SEO in mind.
  • Use keyword-rich captions that would make sense in search results.
  • Create carousel posts that provide substantial value and context.
  • Consider Instagram posts as part of your broader content distribution strategy.

Google’s Search Updates Continues

What happened: Google initiated its second core update of 2025 in June, with effects still rolling out. Early data suggests this update coincides with changes to Google’s Gemini AI models, affecting both traditional rankings and AI Overview visibility.

Why it matters: Core updates assess long-term content quality, and this one seems particularly focused on how content performs in AI-driven features. Sites optimized only for traditional search may see fluctuations.

What to do:

  • Monitor your AI Overview visibility alongside traditional rankings.
  • Focus on E-E-A-T principles: experience, expertise, authoritativeness, and trustworthiness.
  • Avoid making reactive changes to short-term ranking fluctuations.
  • Double down on creating genuinely helpful, user-centric content.

Link Building Gets Smarter in 2025

What happened: Search Engine Land outlined 12 critical link-building best practices for 2025, emphasizing that volume-based backlink strategies are deadweight. The new approach focuses on quality over quantity, contextual relevance, and unlinked brand mentions over raw domain authority.

Why it matters
: Link building used to be a numbers game. Now it’s about authority and authenticity. With AI search gaining popularity, the focus has shifted from “who links to you” to “why they link to you” and whether those links enhance your reputation across multiple discovery platforms.

What to do:

  • Shift from volume-based outreach to relationship-driven link building.
  • Focus on unlinked mention outreach to convert brand citations into backlinks.
  • Build editorial partnerships with industry-aligned publications and thought leaders.
  • Create content that naturally earns links through genuine value and shareability.
  • Treat link building as an ongoing authority-building strategy, not a one-time project.

Paid Advertising Evolution

Advertising is getting more sophisticated, with better attribution and expanded inventory. Here’s what’s changing.

Amazon and Roku Transform Connected TV

What happened: Amazon DSP now integrates Roku’s connected TV inventory, giving advertisers access to approximately 80 million U.S. households, over 80 percent of the connected TV (CTV) market. Early tests show a 40 percent increase in unique viewer reach and a 30 percent reduction in ad repetition.

Why it matters
: This partnership creates the largest CTV advertising platform in the U.S., combining Amazon’s rich consumer data with Roku’s massive reach. For the first time, brands can use actual shopping behavior to target audiences across major streaming platforms.

What to do:

  • Evaluate your current CTV strategy and consider expanding into this unified platform.
  • Use Amazon’s shopping signals to create more precise audience segments.
  • Develop creative specifically for the combined Prime Video and Roku audience.
  • Track unique reach metrics to optimize for audience expansion and not just frequency.

Meta Restores Advanced Mobile Measurement

What happened: Meta re-enabled Advanced Mobile Measurement (AMM), allowing opted-in advertisers to access device-level attribution data. Starting July 21, Meta’s “Engaged Views” count like clicks in attribution models, aligning with other advertising platforms.

Why it matters: Mobile marketers finally have the granular data they’ve been missing. With device-level attribution and better understanding of user journeys, campaign optimization becomes significantly more precise.

What to do:

  • Opt into Meta’s AMM by accepting the terms (requires admin access).
  • Integrate with your mobile measurement partner (MMP) for unified reporting.
  • Start optimizing for Engaged Views as meaningful conversion signals.
  • Use device-level data to identify highest-value user segments.

Meta Phases Out Manual Campaigns

What happened: Meta is rebranding Advantage+ Shopping to Advantage+ Sales, consolidating sales, app, and lead campaigns into one automated format. Manual campaign setup is being phased out, though some targeting controls remain.

Why it matters: This signals Meta’s complete shift toward AI-driven advertising. Manual bid management and granular targeting controls are becoming obsolete as they’re replaced by machine learning optimization.

What to do:

  • Transition existing manual campaigns to the Advantage+ format.
  • Focus optimization efforts on creative quality and audience signals rather than manual controls.
  • Use broad targeting to unlock the full benefits of Meta’s AI.
  • Monitor performance closely during the transition and adjust creative accordingly.

Amazon Prime Day Doubles Down

What happened: Prime Day 2025 extended to four days (July 8-11), doubling its usual length. New deals dropped every five minutes, giving brands more time to optimize but potentially diluting urgency.

Why it matters: If Amazon sticks with this four-day model, the extended window allows for real-time campaign optimization and better inventory management, but brands need to maintain momentum across four days instead of creating a two-day sprint.

What to do:

  • Implement hourly performance reviews and budget reallocation.
  • Prepare multiple creative assets to refresh messaging throughout the event.
  • Set different KPIs for each day to maintain focus and urgency.
  • Use the extended timeframe for better attribution analysis.

Social Media and Content Strategy

Social platforms are evolving into search engines, discovery platforms, and attribution tools rolled into one. Here’s how to adapt.

Sephora Succeeds With Experiential Marketing

What happened: Sephora launched its “Delivered to Beauty” campaign, offering $20 Lyft credits to bring customers to select stores during July 7-10. The initiative included in-store activations like giveaways and makeup demos, blending digital engagement with physical experiences.

An example of Sephora's Delivered to Beauty campaign.

Why it matters: This shows how experiential marketing can bridge online buzz and in-store traffic. Strategic brand partnerships can unlock new audiences and create unexpected touchpoints in the customer journey, but only when supported by solid digital infrastructure.

What to do:

  • Plan experiential campaigns with digital amplification in mind from day one.
  • Create optimized landing pages and campaign-aligned content for every activation.
  • Use local SEO tactics to capture search traffic during events.
  • Measure both foot traffic and digital engagement to calculate true ROI.

Instagram Trial Reels Show Results

What happened: Instagram’s Trial Reels feature lets creators test content with non-followers before posting to their main feed. Data shows 40 percent of creators using Trial Reels post more frequently, with 80 percent seeing increased reach among non-followers.

Examples of Instagram Reels.

Why it matters: This is like A/B testing but for social algorithms. Instead of guessing what will perform, creators can get real feedback from fresh audiences within 24 hours.

What to do:

  • Use up to 20 Trial Reels daily to test different content formats and topics.
  • Track engagement patterns to identify what drives reach beyond your existing audience.
  • Convert successful trials into regular posts and build content calendars around proven winners.
  • Include Trial Reel performance in your social media reporting.

Pinterest Boosts Visual Search

What happened: Pinterest released new guidance for brands to align their content with AI-powered visual search trends. Key recommendations include updated catalogs, lifestyle imagery, and Performance+ targeting for broader reach.

An example of Pinterest Visual Search.

Why it matters: With 570 million monthly active users, Pinterest remains an underutilized search channel for many brands. These updates make it easier to appear in visual searches without manual keyword optimization.

What to do:

  • Audit existing Pinterest catalogs for accuracy and completeness.
  • Test lifestyle imagery alongside product shots to increase discovery.
  • Enable Performance+ targeting to expand reach beyond manual audience selection.
  • Treat Pinterest as part of your omnichannel search strategy (not just social media).

LinkedIn Emphasizes Business Influencers

What happened: LinkedIn released a 22-page guide highlighting the power of B2B creators and influencer partnerships. It shows that B2B buyers actively seek out creator content as trusted resources throughout their purchasing journey.

Why it matters: B2B influence goes beyond follower counts to credibility and industry expertise. Decision-makers trust individual voices more than brand messaging in complex B2B purchases.

What to do:

  • Identify industry-specific creators who resonate with your target audience.
  • Focus on value-driven content that addresses real buyer needs and challenges.
  • Use video and thought leadership formats to amplify reach and engagement.
  • Measure influence through pipeline impact, not just engagement metrics.

Platforms and Technical Updates

Behind-the-scenes changes are set to affect how your content gets discovered and measured.

Apple Indexes Screenshot Copy

What happened: Apple now uses visible text in App Store screenshot captions as searchable metadata. This means your visual assets directly impact search rankings and app discovery.

Examples of visible text in App Store screenshot captions.

Why it matters: Screenshot captions were previously just conversion tools. Now, they’re discovery tools. Apps can rank for keywords included in their visual content, expanding ASO beyond traditional metadata fields.

What to do:

  • Add relevant keywords to screenshot captions while maintaining conversion focus.
  • Avoid duplicating keywords across metadata fields, but strategically repeat key terms.
  • Use captions to reinforce core product benefits and use cases.
  • Track keyword performance changes after implementing caption optimization.

Cloudflare Blocks AI Crawlers by Default

What happened: New Cloudflare users (representing about 20 percent of the internet) must now explicitly opt in to allow AI crawlers to access their websites for content scraping and model training.

Why it matters: Millions of websites could be excluded from AI search results and language model training unless they take action. This creates a potential visibility gap for brands that don’t adjust their settings.

What to do:

  • Review your Cloudflare settings and enable AI crawler access if you want AI visibility.
  • Consider the trade-offs between content protection and AI platform inclusion.
  • Monitor AI citation tracking (like Ubersuggest’s upcoming feature) to measure impact.
  • Treat this like submitting sitemaps to search engines. You’re telling AI platforms what to crawl.

B2B and Trust Building

B2B marketing is shifting toward relationship-building and credibility over pure lead generation.

LinkedIn Data: Trust Drives B2B Success

What happened: LinkedIn’s latest research shows 93.7 percent of B2B marketers say trust is the top factor for brand success. Customer recommendations outrank product features as purchase drivers.

B2B research from LinkedIn.
A close-up of a survey

AI-generated content may be incorrect.

Why it matters: With AI-generated content and automated outreach rising in popularity, authentic human validation becomes the ultimate differentiator. Trust has gone from a “nice to have” to a competitive necessity.

What to do:

  • Prioritize collecting and amplifying authentic customer testimonials.
  • Integrate social proof into every stage of your content funnel.
  • Use customer success stories in sales presentations vs. just in marketing materials.
  • Evaluate your brand messaging to ensure it conveys credibility at every touchpoint.

Ubersuggest Gets AI Search Optimization

What happened: Ubersuggest is rolling out AI Search Optimization reporting in beta, tracking brand mentions and citations across ChatGPT, Perplexity, Gemini, and other AI platforms. The tool monitors visibility, sentiment, and competitive positioning in AI-generated responses.

Why it matters: This addresses a massive blind spot for marketers. You can optimize for Google rankings all day, but if you’re invisible in AI platforms handling billions of queries, you’re missing huge opportunities. This is the first major tool to treat AI visibility as a measurable, trackable metric.

What to do:

  • Audit your current brand mentions across AI platforms manually until the tool launches.
  • Start optimizing content for AI Overview inclusion using structured data and clear answers.
  • Track competitors’ AI citations to identify content gaps and opportunities.

Looking Ahead: What This Means for Marketers

These updates share a common thread: The marketing world is becoming more sophisticated, more automated, and more focused on authentic value.

  • The search-everywhere reality is here. Your content needs to perform across Google, Instagram, AI platforms, and voice interfaces. SEO now means search everywhere optimization.
  • Attribution is getting better, but complexity is increasing. With Meta’s restored mobile measurement and Apple’s expanded ASO signals, you have more data, but you need better systems to make sense of it.
  • AI is becoming the default. From Meta’s automated campaigns to Google’s audio responses, machine learning is handling more of the heavy lifting. Your job is shifting from manual optimization to strategic input.
  • Trust and relationships matter more than ever. With automated content and AI-generated responses on the rise, human credibility becomes the ultimate competitive advantage.

The brands that win in this environment won’t be the ones with the biggest budgets or the most sophisticated tools. They’ll be the ones that adapt quickly, test constantly, and focus on creating genuine value across every platform that matters. 

Ready to put these insights to work? Let’s talk about how we can help you navigate these changes.

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5 LLM Visibility Tools to Track Your Brand in AI Search (2025)

LLMs like ChatGPT and Gemini are quickly becoming the first place people turn when researching brands, products, and services.

But most companies have no idea how they’re actually showing up.

That’s a huge blind spot — especially as AI-generated answers start shaping what people believe about your brand before they ever hit your site.

At Backlinko, we’ve already seen the shift.

Hundreds of thousands of visitors per month still come from organic search…

Domain Overview – Backlinko – Organic Traffic

But LLM-driven traffic is up 800% year-over-year. And accelerating.

Backlinko LLM Traffic

That’s why tracking your visibility in AI search matters. Because it’s not just about traffic anymore — it’s about presence, perception, and positioning.

So: what tools can actually help you do that?

I’ve tested more than a dozen. These are the five that stand out. The ones I trust right now for speed, scale, and signal.

Some are scrappy startups. Others are built for enterprise.

But every tool on this list does one thing well:

They help you see how your brand shows up in ChatGPT, Gemini, Perplexity, Claude, and more.

Let’s break them down.

What to Look For in an LLM Tracking Tool

A lot of LLM tracking tools look impressive at first glance.

But once you dig in, many fall short — either because they’re built on a shaky foundation, limited scraping technology, or generic dashboards that miss what actually matters.

Here’s what to consider:

  • Real scale: Thousands of prompts. From the UI, not just the APIs. Otherwise, you miss key results (like tables and maps).
  • Multi-engine coverage: ChatGPT is table stakes. Top tools also track Google AI Mode, AI Overviews, Perplexity, Claude, and Copilot.
  • Actionable insights: Breakdowns by model, topic, sentiment. Bonus if it flags missed opportunities and quick wins.
  • Roadmap momentum: Is the team shipping fast? If not, skip it.
  • Global support: Need multi-language prompts or market-level insights? Not all tools can do it.
  • Enterprise-ready: Solid support. Clean data policies. And a team that’s leading the space, not chasing it.

1. Semrush AIO

Semrush AIO isn’t like the other tools on this list.

Semrush AIO – Backlinko – AIO Overview

Yes, it’s on the more expensive side.

But I also think it’s the most complete product on the market right now for tracking your brand across LLMs.

Why?

Because Semrush has something most others don’t: infrastructure and scale.

They’ve spent over a decade building one of the most robust search visibility platforms, and now they’re applying that to AI.

My favorite feature is the Competitor Rankings and Market Analysis. Once you have your prompts, and categories, dialed in, you can really get a detailed look at your visibility across all (or each individual) LLM that you track.

Semrush AIO – Backlinko – Competitor Rankings

And then you can really start honing your strategy by focusing on the top-performing Source Domains and specific URLs.

Semrush AIO – Backlinko – Source Analysis

Plans & Pricing

Enterprise pricing upon request. Request a demo here.

Semrush AI SEO Toolkit starts at $99/month per domain. It gives you a solid snapshot of how your brand shows up in AI responses — great for just getting started.

LLMs Covered

ChatGPT, Google AI Overviews, Gemini, Claude, Grok, Perplexity, Deepseek

Key Capabilities

  • Real-time brand, product, and concept tracking
  • Quote-level visibility and sentiment scoring
  • Share of Voice metrics across platforms
  • Platform-by-platform performance insights
  • Workflow automation and optimization guidance
  • Deep integrations with Semrush’s core platform for multi-channel visibility

2. Profound

Profound is one of the more interesting new companies in the space right now.

Profound – Semrush – Platforms

They launched in 2024 and in June 2025 raised a $20M seed round to go all-in on AI search.

The product looks great. It feels fast. And they’re shipping like crazy.

Prompt-level insights, platform-by-platform visibility, real crawl logs. There’s a lot to like.

Profound – Prompt Analysis

But one thing to watch: Profound is still new.

They don’t have the infrastructure or track record of the bigger players (yet).

So while the pace of innovation is impressive, the long-term durability is something to keep in mind.

Plans & Pricing

Starts at $499/month for 200 prompts. Enterprise plans available.

LLMs Covered

Lite plan includes: ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot. Enterprise plan includes Google AI Mode. And more on the horizon.

Key Capabilities

  • Prompt-level tracking + AI-generated prompt suggestions
  • Visibility and Share of Voice by topic, region, and platform
  • Citation analysis with URLs, domains, and page-level stats
  • Real-time LLM crawl and citation logs
  • Conversation Explorer with topic-level ChatGPT demand
  • “Actions” workspace for optimizing slugs, content, and targeting

3. ZipTie.Dev

ZipTie is one of the simplest tools on this list, and that’s exactly why it works.

ZipTie – Petlibro – Overview

There’s no bloat, no complex setup, and no sales process. You just plug in your brand and get visibility across ChatGPT, Perplexity, and Google’s AI Overviews.

It’s not built for teams that want deep prompt logic or workflow integrations.

ZipTie – Petlibro – Queries

But if you want fast answers, clean dashboards, and a dead-simple way to check how your brand is showing up in AI search, ZipTie gets the job done.

Great for early-stage teams or solo operators who want signal without complexity.

Plans & Pricing

Starts at $99/month (Basic plan with 400 AI search checks)

LLMs Covered

ChatGPT, Perplexity, Google AI Overviews

Key Capabilities

  • Tracks brand presence across top AI search engines
  • Provides visibility and citation data in one view
  • Includes prompt-based monitoring with simple tagging
  • Export-friendly dashboard and fast onboarding
  • Basic UI with just the essentials

4. Peec AI

Peec AI is one of the newest players in the LLM tracking space, founded in 2025 and backed by a €5.2M seed round.

Peec AI – Underfit – Dashboard

The platform is built to monitor brand visibility and sentiment across major AI search engines while keeping the interface simple and focused.

You can track your active prompts:

Peec AI – Underfit – Prompts

And the top performing sources, to guide your strategy:

Peec AI – Underfit – Sources

Plans & Pricing

  • Starter: $89/month (25 prompts, 3-country coverage)
  • Pro: $199/month(100 prompts, 5 countries)
  • Enterprise: $499+/month (300+ prompts, 10+ countries)
  • Add‑ons
    • GPT‑4 Search: $19–$49
    • Claude 4: $29–$159
    • Gemini Search Preview: $99–$499

LLMs Covered

Included: ChatGPT, Perplexity, Google AI Overviews

Optional Add-ons: Claude 4, Gemini, GPT-4 (via SearchGPT plugin)

Key Capabilities

  • Tracks brand mentions, sentiment, and visibility across top LLMs
  • Clean, modern UI with prompt-level reporting and tagging
  • Country-specific visibility insights (multi-language capable)
  • Easy onboarding and export-friendly reports
  • Modular pricing for expanding LLM coverage without overpaying

5. Gumshoe.AI

Gumshoe AI is in public beta — no clear pricing or enterprise polish yet.

Gumshoe – Backlinko – Report

But its approach? I’m super interested.

Unlike tools that start with prompts, Gumshoe starts with personas.

You define your audience — their roles, goals, and pain points — and Gumshoe reverse-engineers the kinds of prompts they’re likely to ask across AI chat tools.

The project setup flow is what really stands out.

You start by verifying your brand positioning. Then you choose one analysis focus area — usually your clearest product or service.

From there, Gumshoe builds a list of rich, realistic target personas. Not fluffy archetypes like “SaaS Sally” or “Paul the Plumber” — actual roles with meaningful intent.

Gumshoe – Personas

Then it generates detailed, relevant prompts based on those personas and associated topic clusters.

This is (early-stage) structured AI search research, tied directly to how your audience thinks and searches.

Gumshoe – Brand Reach

Plans & Pricing

None announced yet.

LLMs Covered

Perplexity AI Sonar, Google Gemini 2.5 Flash, OpenAI 4o Mini, Anthropic Claude 3.5

Key Capabilities

  • Persona-based prompt generation and tracking
  • Visibility scoring by persona, topic, and LLM
  • Citation source tracking across answers
  • Topic visibility matrix for how your brand is mentioned by each persona for a given topic

Whichever Tool You Choose, Just Start Tracking

Whether you’re measuring it or not, users are discovering your competitors through AI interactions. So, it’s a good idea to have your finger on the pulse.

To get started, pick one tool, add 3-5 competitors, and track 10+ prompts about your products/services for 30 days. You’ll start seeing where you have opportunities.

Don’t expect overnight changes. This is like early-stage SEO — you’re building a foundation for long-term authority.

Once you have the data, what do you do next? Take a look at our guide on Generative Engine Optimization. We show you how to influence how LLMs mention and cite your brand.

The post 5 LLM Visibility Tools to Track Your Brand in AI Search (2025) appeared first on Backlinko.

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Reddit SEO Guide to Increasing Brand Visibility in Google in 2025

Have you noticed Reddit showing up more and more in search results lately?

You’re not imagining it.

Reddit has quietly become a major player in Google’s search ecosystem and will only grow. As of 2024, Google rolled out multiple search engine results page (SERP) features prioritizing Reddit content, including “Discussions and forums” and “What people are saying” panels. 

Plus, Reddit struck a licensing deal with Google to train AI models using its content. That means Reddit insights are now baked into how Google’s AI Overviews are shaped.

So, what does that mean for you?

It means your SEO strategy needs to account for Reddit. Whether you’re trying to show up on Reddit or rank because of Reddit, this platform can unlock a surprising amount of visibility. If you know how to work it, that is.

In this guide, we’ll break down how to use Reddit SEO to connect with real users and earn space in today’s evolving SERPs.

Key Takeaways 

  • Reddit threads increasingly appear in Google features like “Discussions and forums” and AI Overviews, making Reddit a key player in search visibility.
  • Strategic participation in relevant subreddits can boost brand authority, uncover content gaps, and influence what ranks for your target keywords.
  • SERP analysis helps identify high-ranking threads to engage with, or keyword opportunities where new threads have a chance of appearing.
  • A phased strategy (Crawl → Walk → Run) helps brands build trust before scaling Reddit engagement across profiles and subreddits.
  • NP Digital achieved real-world results for TurboTax, proving that Reddit SEO can drive SERP wins when paired with link building and blog optimization.

What Is Reddit SEO?

Reddit SEO refers to optimizing for two interconnected opportunities:

  • On-platform SEO: How your content appears and performs within Reddit’s search and subreddit ecosystems.
  • Off-platform SEO: How Reddit content ranks and contributes to visibility in Google’s SERPs, especially in features like “Discussions and forums,” “What people are saying,” and even traditional organic listings.

Reddit itself functions like a mini search engine. Users search subreddits for recommendations, reviews, and answers to specific problems. Search engine optimization for Reddit posts, comments, and titles using relevant keywords (without sounding spammy) helps them show up in internal search results and gain more upvotes, which helps with visibility.

But that’s just one side of it.

The bigger opportunity right now is off-platform SEO. Google is increasingly pulling Reddit content into its results because of its authenticity and community-driven value. Threads with genuine discussions or useful information often rank alongside blog posts and product pages, especially when the query is intent-driven or phrased like a question.

Ultimately, Reddit SEO is less about manipulating the algorithm and more about participating in conversations that matter, adding real value, and positioning your content so both Reddit users and search engines can find it.

A search for "Best Tax Software Reddit."
Reddit search results for "Crypto Tax Tips."

Why Reddit Is More Important Than Ever for Digital Marketing

As an online forum, Reddit mirrors how real people research, evaluate, and decide. That’s why it matters so much for digital marketers in 2025. It gives us something that’s becoming harder to find in traditional SEO: authentic intent signals.

People aren’t searching on Reddit for fluff. They’re looking for real experiences, firsthand reviews, product feedback, or deep-dive discussions. And that kind of raw, unfiltered demand is gold for modern content and SEO teams.

But Reddit also feeds the broader shift we’re seeing in how search works. We’re no longer optimizing for one destination (Google). We’re optimizing for a network of discovery channels, including Reddit. This plays into an important concept known as search everywhere optimization: getting found in the places where people ask questions and search for answers they can trust.

Ignore Reddit SEO, and you overlook where real buying conversations happen. Embrace it, and you tap into a platform that builds trust, informs content creation, and amplifies search visibility—without the traditional gatekeepers.

Reddit visibility in the "Discussions and forums" tab in Google.

What Makes Reddit and SEO a Unique Combo

Reddit and SEO work together, but not in the way most marketers are used to. In short, Reddit rewards what Google is increasingly prioritizing: helpful, experience-driven content.

Unlike platforms built for brands and publishers, Reddit is built for communities. That means the usual SEO tactics (link building or keyword integration) fall flat here. In fact, they’ll probably backfire. Reddit’s user base is naturally skeptical and vocal about anything that feels inauthentic.

But that’s exactly what makes it powerful.

When done right, Reddit SEO isn’t about broadcasting or promotion; it’s about earning trust. Threads that genuinely answer questions or share insights have a much higher chance of engagement within Reddit, and even get featured in Google search results.

A Reddit post example.

Reddit also functions as a real-time SEO feedback loop. What users upvote (or ignore) can help you validate keyword intent, content angles, and topic resonance before investing in a full-blown content campaign. 

How to Use Reddit for SEO

We’ve discussed how using Reddit for SEO strategy can boost your visibility and improve your rankings. But how, exactly?

Below are the core Reddit SEO tips you can use to get the most out of the platform:

Brand Visibility in Google SERPs

Since Reddit threads and comments increasingly appear in organic search results and SERP features, your Reddit content can rank in Google, even if your site doesn’t.

Whether you’re answering questions or sharing original insights, helpful content on Reddit can land in top positions for highly specific, intent-driven keywords.

Target your Reddit content to answer question-based phrases and long-tail keywords. These tend to trigger SERP features that pull in Reddit threads. Using the pre-populated options in the Google search bar or a platform like AnswerThePublic.com is a great way to research and uncover these types of search terms. 

Appear in AI-Generated Search Results

Thanks to Reddit’s licensing deal with Google, Google’s AI Overviews (and other LLM-powered results) are being trained on Reddit data. As generative search becomes more mainstream, the odds of your Reddit content being cited in these answers increase. Focusing on creating content that’s genuinely useful, experience-based, and conversational gives you a better chance of being surfaced, especially for product queries, comparisons, or niche how-tos.

Build Topical Authority and Trust

Reddit allows you to engage with users in a way that builds brand trust and positions you as an expert. The best way to leverage this direct contact with your audience is to participate consistently and establish credibility. Whether you’re answering a technical question or offering a thoughtful opinion, you’ll build a solid digital footprint over time that both Google and your audience recognize.

It’s also a great hedge against negative chatter. Owning your narrative through proactive engagement can reduce reputational risk and save you from frustrating hurdles or shadow banning.

Get Customer and Content Insights

Think of Reddit as a real-time content lab. It’s where users ask questions that don’t always appear in keyword tools—yet. Search relevant subreddits for your industry and see what your audience is talking about. You’ll start to uncover content gaps like audience pain points and phrasing you may have overlooked.

Fuel Keyword Research and Topic Ideation

Reddit is a keyword opportunity goldmine, especially long-tail, low-competition keyword ideas that may not even register in traditional tools until the trend explodes. When you’re browsing subreddits, look for:

  • Questions with multiple upvotes or engagement
  • Recurring themes or product mentions
  • Specific phrasing that reflects how your audience thinks (not how marketers write)

This intel is especially helpful when building keyword or topic clusters or aiming to dominate topical authority around a niche subject. Couple this Reddit SEO strategy with our SERP Analysis Guide to supercharge your overall SEO performance. 

You can also validate ideas by seeing what gets traction (and what doesn’t) before investing in full-scale production. Tools like Ubersuggest, Google Trends, AnswerThePublic, and Reddit’s own search bar can help spot growing or redundant trends and help inform your content topics and strategy. 

Building Your Reddit SEO Strategy

Successfully using Reddit for SEO doesn’t happen overnight. It’s a long game that requires consistency and a plan that evolves with your investment level. That’s why we recommend thinking of your Reddit SEO strategy in phases.

The best approach is to start small and learn the landscape. Get familiar with the structure of communities and how users behave in them. Once you get the hang of it and develop an eye for what works, you can scale your efforts over time.

We call this strategy “Crawl → Walk → Run.” Each phase builds on the last. The goal is to move from passive listening to full-scale community engagement, ending in a lasting, high-visibility Reddit presence.

Crawl

Reddit isn’t the place for hard sells. Coming in too strong can backfire fast, which is why the Crawl phase is all about listening first. It’s where observation and subtle engagement take center stage.

Start by identifying subreddits where your audience hangs out. Pay attention to tone, post formats, and what kinds of answers get upvoted. Use a few branded profiles to upvote and comment occasionally to build familiarity without promoting anything.

You’ll also want to analyze SERPs. Use tools like Ubersuggest or a simple “site:reddit.com” Google search to find Reddit threads ranking for your target keywords. Engaging in these threads boosts visibility both on Reddit and in search. You can also pull information from Google’s “Discussions and forums” and “What people are saying” features. 

A Reddit site search for tax preparation.
Reddit Discussions and Forums results in Google with "What happens if you file taxes late."

At this stage, your goal isn’t to go viral. It’s to learn the landscape and get your brand’s foot in the door.

Walk

In the Walk phase, you begin starting threads and offering expert commentary. Focus on subreddits where your audience is most engaged. Share genuine insights and respond to user pain points. This develops a foundation for content pillars around topics that align with your brand but still feel native to Reddit.

Using SERP analysis proactively also helps at this stage. Look for target keywords and SERPs where Reddit threads currently rank. If a competitor’s blog shows up and Reddit is pulled into SERP features, that’s your chance to start a new thread and own that discussion. Aim for question-based titles and intent-matching content. If no Reddit threads currently rank in the SERP, there’s less of a chance for ranking on Reddit for that search since Google doesn’t find Reddit valuable for said search.

You’ll need more profiles and daily management here. But the goal remains the same: Build trust and start shaping the narrative in spaces your audience already values to improve your brand visibility.

Run

In the Run phase, you’re starting to lead conversations within the Reddit forums. That means launching your own branded subreddit. You’ll be investing time responding in real time across high-priority threads and maintaining visibility in multiple subreddits tied to your niche.

At this level, Reddit becomes a content and community engine. You’re scaling engagement, managing 10 to 40 (or more) branded profiles, and integrating SEO, content, and customer service teams to create a unified presence.

You’re also building authority that flows off Reddit. High-quality threads are more likely to provide SEO results through backlinks and appearances in Google features, like AI Overviews and “What people are saying.”

Google results for Quarterly tax deadlines.

Converting these positive signals to traffic from Reddit SEO requires consistency and credibility. By owning the space, you position your brand as a go-to source, both for search engines and the community itself.

The Impact of Reddit SEO: A Case Study

Recently, NP Digital ran a Reddit campaign for TurboTax. Their case study is a strong example of what the Crawl phase can achieve when executed with intention and paired with SEO.

From January to April 2025, TurboTax-branded Reddit profiles engaged in relevant subreddits, contributing 159 comments and launching strategic threads. A few appeared in Google’s “What people are saying” feature for the keywords “quarterly tax deadlines” and “turbotax early refund.” Another comment was cited in AI-generated Reddit answers within days of posting.

Reddit mentions hit 5,404 (an increase of 10 percent year over year (YoY)), and while sentiment was still mixed (59 percent negative; 6 percent positive), positive mentions increased 2 percent  YoY, even amid brand-sensitive issues like early refunds and pricing.

The team also saw success combining Reddit engagement with targeted SEO tactics. A refreshed blog post, Ways to File for Free, secured the featured snippet for “is Turbotax free” (14,800 monthly search volume (MSV)) within weeks, helping to outrank negative Reddit content.

The takeaway is that Reddit SEO drives real results. When done right, it drives visibility in SERPs and gives brands more control over their search narrative.

FAQs

How to use Reddit for SEO?

Reddit can support your SEO strategy in a few powerful ways. First, Reddit threads often appear in Google’s SERPs, especially in features like “Discussions and forums.” By starting or contributing to high-value threads, your content can gain direct visibility in search results. Second, Reddit helps with content discovery. You can analyze subreddits to find trending topics, language patterns, and user intent that can inform your broader SEO and content strategies.

You can also use SERP analysis to find keyword gaps where Reddit threads are being pulled into SERP features and create new threads to increase visibility in those spaces. Just remember: Value and authenticity win. Spam won’t get you anywhere.

Is Reddit a search engine?

Not in the traditional sense, but it functions like one.

Reddit has a robust internal search engine that allows users to find content across thousands of subreddits. People use it to get advice, vet products, read reviews, and solve problems phrased as long-tail queries that mirror Google searches. In fact, younger audiences usually search Reddit directly for information instead of using Google.

While Reddit doesn’t index the open web, it absolutely influences the way people search and make decisions. That’s why optimizing for Reddit search and contributing to high-performing threads can give you a dual benefit: Visibility within Reddit and in Google SERPs.

Does Reddit help with SEO?

Yes, Reddit can be a powerful SEO enhancer when you use it strategically.

High-value Reddit threads often rank in Google’s organic results and featured SERP modules. Creating or contributing to those threads increases your chances of gaining real estate in search results, even for competitive terms. Reddit is also a great place to uncover keyword and content opportunities before they trend.

It doesn’t directly boost domain authority like backlinks might, but it shapes user perception, generates traffic, and helps Google associate your brand with helpful, trustworthy content. As Google’s AI-driven search continues to evolve, Reddit’s role in shaping what gets surfaced will likely grow.

Conclusion

Reddit SEO gives you something traditional channels can’t: direct access to how people think, search, and talk in real time.

It’s a space where trust matters more than tactics. And that’s exactly why it’s showing up more in Google’s SERPs, AI Overviews, and user journeys. When you treat Reddit as a community to engage with (and not just another traffic source), you open the door to brand visibility you can’t buy or fake.

Success on Reddit takes three simple steps. Start with authentic participation, back it with smart SEO, and grow into a presence that earns results both on and off the platform. 

It’s not easy, but it is simple. Stick to the plan, and your consistency will pay off before you know it. 

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How to Run a Competitor Traffic Analysis (9 Steps)

You know that feeling when you see a brand new competitor swooping in and snatching leads away from you?

It can make you start questioning your whole approach.

But instead of panicking, it’s far more useful to break down what they’re doing.

That way, you can cherry-pick their best ideas. And spot the gaps they’ve missed.

This post will show you exactly how to do that.

As you read it, imagine you’re a new pet supplies brand going head-to-head with the retailer Hollywood Feed.

Hollywood Feed – Homepage

To get the upper hand, you’ll need to understand how they’re driving traffic and converting customers, answering questions like:

  • Which channels bring the most visits and sales?
  • How much of their traffic is organic vs. paid?
  • Which pages, platforms, and campaigns are working best?

In this guide, you’ll learn how to run a competitor analysis to find the answers to these questions and more — regardless of your brand, industry, and experience.

Free resource: You can follow along with our Competitive Analysis Worksheet. Just open it up in another tab, and use this article as a guide to fill it out for your top 3-5 competitors.


Competitive Traffic Analysis Worksheet – Backlinko

Before you start, this guide assumes you’ve already covered the basics.

You know your ideal customer. You’ve nailed your positioning. You’re clear on the category or niche you’re competing in.

If not, start here: The Complete Guide to Market Research

It’ll make everything in this guide way more useful.

Let’s start by identifying your real competition.

Step 1: Spot the Competitors Grabbing Your Traffic

You need to build a live list of 5–10 competitors.

Begin Googling broad, high-intent terms like:

  • “best dog food”
  • “pet store near me” (or “pet store in [city]”)
  • “cat toys online”

Not sure where to start? Try this AI prompt to gather some terms you can then type into Google:

“What high-intent keywords do people use when searching for [your product/service] online?”


Make a note of:

  • Who ranks organically
  • Who’s running paid ads
  • Who’s in the local pack (map section that shows nearby businesses) or shopping results

Google SERP – Pet food online

Next, check out popular Reddit threads and pet owner forums. This is where you’ll often find smaller, more niche brand mentions. But they might still be your competitors depending on your location and/or stage of growth.

(As a bonus it’ll also often reveal the sentiment around your rivals from real customers.)

Reddit – Pet supply store preferences

Now go to Google and look for “best of” listicles from publishers and bloggers.

The Spruce Pets – Best Places to Buy Dog Food

Find these by searching for modifiers like “best” and “cheapest” followed by:

  • [product] in [industry]
  • [product] in [city]
  • [product] for [specific need]
  • [product] under $[amount]
  • [product] in [year]
  • [industry] brands

Google SERP – Best dog food for sensitive stomach

Tip: Also check which competitors rank for these terms directly. These are generally high volume, competitive, and valuable. If your rivals rank for them, you likely want to as well.


Want a more straightforward way to find your rivals?

You can use an SEO platform like Semrush to instantly find your main competitors.

Just pop your domain into the Organic Research tool. Head to the “Competitors” tab and you’ll see the Competitive Positioning Map.

This shows your top rivals on a chart of the number of keywords they rank for vs. their organic search traffic.

Organic Research – Petfoodexpress – Competitors Map

You’ll also see more information below that about each competitor. Like common keywords, paid keywords, and more.

Note: A free Semrush account gives you 10 searches in the Organic Research tool per day. Or you can use this link to access a 14-day trial on a Semrush Pro subscription.


Finally, AI tools like ChatGPT can help uncover competitors that traffic tools might miss. Here are a few prompts you can try:

Use Case Example Prompt What It Reveals
General Discovery What are the best places to buy [your product] in [your market]?

E.g. What are the best places to buy pet supplies online in the U.S.?

Returns top names, but might sometimes surface lesser-known brands too
Niche-Specific Top-rated [your business] for [your niche] in [your market]

E.g., Top-rated pet stores for natural dog food in the U.S.

Highlights specialty brands focused on natural or premium products
Emerging and Hidden Players Fastest-growing [your vertical] business in [your market]

E.g., Fastest-growing pet retailers in the US

Surfaces rising brands that may not rank in traffic tools yet

Note that AI tools may personalize answers based on your chat history. Run prompts in a fresh window, and always verify unfamiliar results.

Pro tip: It’s easy to watch the big names and miss smaller players like Hollywood Feed who are gaining ground.

Don’t just check Google.

Search Reddit, niche listicles, and online communities to spot emerging competitors.


Reminder: Add these competitors to your copy of our competitor analysis worksheet.


Step 2: Find Your Edge by Comparing Products and Positioning

Once you’ve got your competitor list, go through them one by one, and start by looking at the basics:

  • What products do your competitors sell?
  • How do those products compare to yours?

Then, look at how they talk about themselves.

What value propositions are they leaning on: quality, price, convenience, or something else?

Head to their website to find this out.

Have a click around, paying particular attention to the product and category pages. Use what you find to fill out the “Product and Positioning” sections of our template:

Competitive Traffic Analysis Worksheet – Backlinko

You can use AI to gather a lot of this info even faster (although I still recommend actually visiting their website too).

Here’s an example of a prompt you could use:

I’m analyzing competitors to understand how to position my brand more effectively.

Here’s what I’d like help with:

  • My brand: [insert brief description — product, audience, values]
  • Competitors: [insert 3–5 competitor names]

For each competitor, please:

  1. List their main products
  2. Compare their offerings to mine in terms of variety, pricing, target customer, and positioning
  3. Identify their core value propositions (price, convenience, quality, speed, etc.)
  4. Describe their messaging tone and website language

Then suggest 2–3 ways I can differentiate — based on gaps or overlaps in their positioning. Format your answer using tables and bullet points


Here’s an example using Hollywood Feed and Chewy:

Section Brand Details
Product Comparison Chewy Wide selection: pet food (all types), toys, meds, grooming. Convenience-focused.
Hollywood Feed Natural/premium food, boutique accessories, regional in-store experience.
Value Propositions Chewy Convenience, speed, selection, 24/7 service.
Hollywood Feed High quality, local expertise, boutique service.
Messaging & Tone Chewy Warm, mass-market tone. “Trusted by millions.” Friendly and supportive.
Hollywood Feed Expert-led, local authority. “Nutrition-trained associates.” Boutique feel.
Differentiation Opportunities 1. Sustainable + subscription niche Neither competitor clearly owns this space — potential to stand out.
2. Ingredient transparency Competitors mention quality, but don’t emphasize traceability or sourcing.
3. Radical simplicity Chewy offers everything; Hollywood Feed is regional. There’s room for a frictionless, curated experience.

Note: We’ve included a section at the end of the downloadable worksheet to go a step further and analyze your rivals’ customer experience and checkout flows.


Competitive Traffic Analysis Worksheet – Backlinko – Customer Experience Audit

There are too many checks to cover in detail here. But they’re still super important as they can help you understand where your rivals are winning at the end of the buyer journey.

Step 3: Analyze Their Traffic Channels

Looking at your competitor’s website traffic can tell you where they’re investing. And how fast they’re growing.

Here’s how.

Start with the Top-Level Traffic Numbers

Start by checking competitor website traffic in general. You can do this with a tool like Semrush’s Domain Overview (although there are other options out there — including our own free website traffic checker).

Domain Overview – Hollywood Feed – Search

Here’s what to check:

Total Traffic

Look for their estimated monthly visits.

A higher number doesn’t always mean more sales.

But it does show the scale of their online presence.

Domain Overview – Hollywood Feed – Overview

For example, Hollywood Feed has around 193K organic visits per month. That’s a significant number to contend with if I’m a new player, and I shouldn’t expect to reach that number overnight.

Paid vs. Organic

Comparing paid traffic to organic traffic reveals how your rivals are acquiring customers.

A brand with mostly organic traffic is typically investing in SEO and content.

A brand leaning on paid search or social is buying quick traffic. But they may be vulnerable to rising costs.

Hollywood Feed brings in only 8.4K from paid search. It looks like they’re betting on SEO over ads.

If your pet store has the budget to invest in paid search, you could reach customers they’re missing.

Further reading: Learn more about using paid ads effectively in our guide on advertising your business.


Traffic Share

Use traffic share metrics to compare competitor website traffic and understand where you fit in the picture.

For example, Hollywood Feed holds a 9% traffic share compared to its main competitors.

They’re a meaningful player in the market, but not the dominant one.

Branded vs. Non-Branded

Are people searching for their brand name or just looking for what they sell?

Domain Overview – Hollywood Feed – Branded vs. Non-Branded Traffic

Hollywood Feed gets 68.1% of its traffic from branded keywords.

That shows strong name recognition but also reveals an opportunity.

Aim to rank for the non-branded, high-intent searches they’re missing.

Analyze Their Traffic Split

Moving away from just traffic, you can learn a lot about your competitor’s SEO and content marketing strategy from the outside.

You can do this with Semrush’s Organic Research tool.

Organic Research – Hollywoodfeed – Overview

Scroll down to see their top pages.

Are they blog posts, category pages, product pages, or store locators?

This helps you spot where they’re strongest, and where there might be opportunities.

Organic Research – Hollywoodfeed – Top Pages

For example, 61% of Hollywood Feed’s traffic goes to their home page.

This suggests strong brand recognition but potentially limited organic discovery.

Their location pages also drive some traffic, suggesting investment in local SEO.

Blog content contributes less than 3% of visits.

So there’s a chance to compete on content.

Next, look at their Keywords by Intent:

  • Informational keywords represent people looking for advice
  • Navigational keywords come from people searching for a specific site
  • Commercial keywords are searched by those comparing products
  • Transactional keywords are used by shoppers ready to buy

Note: Traffic numbers can look impressive, but context matters. A competitor with 200K visits might not be a real threat if most traffic is just browsing educational content. Focus on traffic quality and intent, not just volume.


Here’s the breakdown for Hollywood Feed:

Organic Research – Hollywoodfeed – Keywords by Intent

Their keywords primarily cover informational, commercial, and transactional intent. And it’s a pretty even split.

This means they reach searchers at every stage of the buying journey.

No obvious gaps here.

But as they’re evenly spread, you could consider going deeper on one keyword set to compete.

For instance, better product comparisons could help you compete for commercial keywords.

Further reading: For more tips on finding these opportunities, check out our full guide to uncovering competitor keywords.


Step 4: Look at Their Paid Media Performance

Next, check how your competitors are using paid media to drive traffic and sales.

Start with Google Ads.

Search for their brand name to find branded search ads.

Also, look for relevant non-branded keywords. Like “natural dog food” or “best dog treats.”

Google SERP – Best dog food delivery – Google Ads

Look for Google Search ads and Google Shopping ads (product images with prices).

Pro tip: Use Google’s Ads Transparency Center to browse a brand’s live and past ads.


Next, visit the Meta Ad Library and type in their brand name.

Meta Ad Library – Search ads

This will show you any active ads they’re running on Facebook or Instagram.

Meta Ad Library – Hollywood Feed – Results

You can do the same on TikTok’s Ad Library.

As you review their ads, pay attention to:

  • What products they’re promoting (specific brands, seasonal items, top-sellers)
  • What offers they’re using (discounts, bundles, subscriptions, free shipping)
  • Which platforms they’re investing in (Google, Facebook, Instagram, TikTok)

This gives you a snapshot of their paid strategy on social media.

Hollywood Feed’s Meta ads are a mix of product promotions and local messages.

You could stand out by using stronger calls to action.

You might also try content-driven ads or user-generated videos to boost engagement.

Further reading: You can also use this free Competitor Search Ads tool to spy on your competitors’ ads.


Step 5: Deep Dive Into Their Content and Messaging

Take a closer look at how your competitors are talking to their audience.

Start with their homepage copy.

Is it clear who they’re targeting and what makes them different?

Hollywood Feed – Homepage copy

Hollywood Feed does a good job of highlighting benefits upfront.

Same-day delivery. Curated product picks. “Why we’re a different breed” messaging.

It’s all there — baked right into the homepage.

Steal that move.

Make sure your top benefits are front and center.

What makes you different? Why should someone buy from you instead of the competition?

If that’s not obvious in the first few scrolls, fix it.

Hollywood Feed – Top benefits

Also analyze their:

  • Product descriptions: Are they just listing features, or are they showing how their products solve problems? Do they use benefit-driven language?
  • Blog/educational content: Is their content deep, or is it thin and only covering the basics? Could you create more engaging, valuable blog posts for your audience to outrank and outcompete them?
  • Tone, style, and trust signals: Do they prominently feature social proof? Do they show off guarantees or certifications/awards?

Finally, look into their content structure.

Topic clusters are groups of related articles linked to a central pillar page. This can help build authority around key topics.

The Hollywood Feed University blog covers topics like pet care and nutrition.

But they haven’t built out strong topical clusters to organize this content.

When you click on a category, you get a list of articles, not a central pillar page.

That’s a missed SEO opportunity — and a chance for you to win.

Create clear pillar pages that link out to related content.

It helps Google understand your site and builds topical authority.

Hollywood Feed – Mission

Compare the insights you gather with your own content to identify areas you can improve — and gaps you can fill.

Step 6: Explore Their Social Media Presence

Next, see which social media platforms your competitor uses.

Tip: B2C brands often use Facebook, Instagram, and TikTok. B2B brands usually focus on LinkedIn, X/Twitter, and YouTube.


Scroll through their recent posts and take note of the content formats they use.

Are they sharing educational posts, demos, customer stories, or thought leadership?

Look at follower engagement too.

Are people commenting, sharing, or ignoring the content?

Strong engagement signals an active community and loyal audience.

Finally, assess their brand personality and values.

Are they playful, bold, helpful, or professional?

Instagram – Hollywood Feed

For our pet food example, we find that Hollywood Feed is on Instagram. And they have a large following (around 35K followers).

Their social content leans into friendly, community-focused messaging, with discounts for followers.

You could stand out by adding more educational content.

You might also try more engaging formats, like videos or user-generated posts.

Step 7: Check Their LLM Visibility

Research from Semrush suggests that LLM traffic will overtake Google search by 2027.

That means getting visibility in AI answers is about to matter as much as (or more than) traditional rankings.

Google and LLM Unique Visitor Growth Projection (Moderate Case)

Here’s how to analyze your competitors’ LLM visibility to make sure you’re not falling behind:

First, open a fresh incognito window or use a VPN to avoid personalized results.

Then, in Google Search, look for an AI Overview by searching for broad, high-intent keywords. (Or take a look at the results in AI Mode.)

Think “best dog food delivery” or “top pet stores near me.”

Try the same searches in tools like Perplexity.ai and ChatGPT.

ChatGPT – Best dog delivery in Texas

Look for mentions of your competitor’s brand name and links to their site in AI responses.

Also note the sentiment:

  • Are they being mentioned as a top brand?
  • What specific features are the AI tools calling out?
  • Are the AI responses pulling from reviews, or are they also citing round-up posts and forum discussions?

LLM visibility and optimization is a massive topic in its own right. This post would get too long if we tried to cover all the ways you can analyze your competitors’ performance in these tools.

So for a more detailed guide, check out our dedicated article on LLM visibility.

Step 8: Review Their Local SEO (If Applicable)

If your competitor has a physical presence, search for their brand name + city (e.g., “Hollywood Feed Austin TX”) in Google Search and Google Maps.

Google SERP – Brand name + City

Look for their Google Business Profile.

Is it optimized with photos, opening hours, and reviews?

Do they rank for proximity-based keywords like “pet store near [city]” or “dog food delivery [city]”?

Hollywood Feed appears to be investing in local landing pages.

They have active Google Business Profiles for each store:

Hollywood Feed – Google Business Profiles

If you wanted to compete on a local search level, you’d better make sure you’ve done the same.

Further reading: Read our Google Business Profile guide to find out how to compete at the local level.


Step 9: Turn Competitive Insights Into Action

Now it’s time to bring all your research together so you can act on it.

If you’ve been following along with our competitor analysis worksheet, you’ll have a lot of info already.

I recommend filling it out for your top 3-5 competitors. Then, download our competitor analysis summary template.

Competitor Analysis Summary Template by Backlinko

Here’s where you’ll turn data into actionable strategies that you’ll use to beat your rivals.

It helps you dig deeper into what each competitor is doing well, where they’re falling short, and how you can differentiate.

Competitor Analysis Summary Template by Backlinko – Strenghts

Pro tip: Competitor insights are valuable. But they should never replace your own market research.

Use their playbook as a reference, not a roadmap.

And don’t try to beat them at everything. Find one or two clear openings and double down.


Don’t Just Copy Your Competitors — Outsmart Them

Competitor analysis isn’t about copying. It’s about learning.

Use this process to sharpen your edge, not mirror theirs.

Begin by picking one competitor and analyzing their online presence using the steps in this guide.

To help you get started, download the free Competitive Traffic Analysis Tracker.

The post How to Run a Competitor Traffic Analysis (9 Steps) appeared first on Backlinko.

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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.

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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.

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