Generative Engine Optimization: Beyond Traditional SEO

The Emergence of Generative Engine Optimization (GEO)

Stephen: With that, I wanted to just get right into it. We're going to cover five main topics. Our first five general topics that we're going to cover are the shift from traditional SEO to AI-powered search experiences. The second one is going to be how large language models or LLMs source and surface business information. The third being key differences between ranking on Google versus appearing in AI responses, whether that's in ChatGPT, Perplexity, Grok, Claude, AI overviews on Google, specifically in the AI overview or the AI mode within Gemini or any of the others that you could even use, even like Suri or Alexa, and the role of structured content in generative search visibility. Finally, why early adoption of GEO creates long-term competitive advantage. There's a lot to do with that. The way that I describe that to people is that when we're talking about optimizing for generative engines it's similar in timeline to if you were to compare search engine optimization but if you were to start it in 2007 or if you were to get onto instagram in 2013 that is the timeline that we're looking at if you look at a lot of the accounts that really started being active in those areas they're the biggest accounts that exist now.

Stephen: They're the top rankers.

They're the people who can talk about something on one blog post and pop up as the number one search position for it. They're the people who organically are just popping up on your Instagram. They've obviously got to stay relevant and stay pushing forward in that realm of whatever we're talking about, whether it's search or it's Instagram or even TikTok now. If you want to want to equate it to getting onto tick tock in 2019 it's really similar in timeline to that so let's dive into the actual questions so our first question is what exactly is generative engine optimization geo and how does it differ from traditional seo i have a video that explains this really shortly and shows exactly how two different searches look. And the biggest statement that I hear people say is that, well, GEO or AI overviews are just taking from what we find in SEO.

Differentiating AI Search from Traditional Organic Rankings

Stephen: And that's just factually not true. If you look up anything that gives you an AI overview in Google search, which is now more than 80% of all searches that contain an AI overview or some AI response or AI summary injected into the top of the response, then you're going to find a few things. Take a look at the exact links that you're finding at the very front, very top of that. If it's in Google, take a look at the links that are going to be separated over to the side. Those are oftentimes, I would say, eight or nine times out of 10, not the same links that you're going to find at the top of organic search. It happens sometimes. It's not a rule. You'll find when you're trying to start tracking and putting rhyme or reason to AI search results, you'll find that a lot of things aren't 100%.

Stephen: They're 80%, 90% accurate when you really start working on a good hypothesis that I would call accurate. Over 80% of searches have some AI interjection in what you're getting from the results. And I would say just about 80% of the time, the top links that you're getting sourced for the information, specifically at least in Google AI overviews, which are generated from Gemini, but are not the same thing as AI mode and Gemini specifically, those aren't going to be the same things that you find at the top of organic search or the number one ranked search position, because it's not just taking the keywords and then contextualizing it within what a robot system wants to see.

It's identifying the intent much, much, much more than general search is, which is why we focus so much at attractify on having really high intent questions and really high intent traffic we're not trying to build you numbers through virality we're trying to build you growing traffic of really high intent or really high buying intent or purchase intent or just what a lot of people would even in more layman's term call much warmer much hotter leads so if you want to take it into more of an actual marketing term it would be people who are already very lower funnel they're they're people who've probably already done a lot of the educational and informational gathering and now they're asking very high intent questions and they're asking not questions like what hat is best for golf they're asking what's the best golf hat to buy?

Stephen: I know that sounds really, really similar. And sometimes they might be the type of questions that get given in scripts from us, but it's really just how our system identifies it. But it's a really random example I gave. But you're asking the exact question within our system that people are asking, and then you're answering it. And what we always say at Attractify is no one knows more about your business than you. I have a video from months ago that tracks this exact thing within a search that I did.

I was in Chicago visiting a friend and I got this mug there. That's really crazy. But I was in Chicago visiting a friend and so I just looked up best places to work out in Chicago. And the top result in organic search was a company that is a national real estate organization that spends a lot of money in marketing.

Stephen: And I know that because I know the previous head of marketing there. And I know that they spend a lot of money in SEO. They spend a lot of money on their website specifically. And just all the optimizations that you can do for organic search. And they popped up number one as the organic search result. And a couple of other usual suspects that you'd expect, national conglomerates, huge gyms and workout clothing companies were up there in organic search. But those were all the way at the bottom of the page. Above them, you had paid search, which you had, I think, Orange Theory and Equinox and I think one other. And then above all of them, the very top link in all of this was the Chicago Parks Department. They don't have money to barely even stay open.

Optimizing Content for High-Intent AI Responses

Stephen: They're a public parks department. They're not hiring a huge agency to optimize their SEO. They're definitely not spending $10,000, $20,000 randomly optimizing this one article that gets shown as the top source for what I looked up. And what I looked up is a really high value term. That's why I looked it up for this example. Where to work out in Chicago. Chicago is an active city. It's a big city. There's a lot of different independents that are trying to work for the top spot there. There's also a lot of obviously national conglomerates like the ones that I listed that are obviously paying for and working for the top spots, but they're not the ones that get ranked first in AI. That's the difference is high intent. And you can get there in a lot of different ways that we're probably going to go over.

Stephen: I haven't read all the questions. I wanted to keep a lot of them fresh, but high authority is one of the big reasons that our stuff ranks really well. Again, no one knows more about your business than you. We're not answering the questions for you.

We're just giving you the questions and then you're going forward with your expert information, your expert knowledge, and you're answering them in a conversational way exactly like I'm doing right here. And that semantic text that gets generated from this video and then gets put into a transcription and then used from there in order to create all the optimized pieces of text and content that we then distribute across the web in a technically optimized fashion. That is never gonna be the same content that I could get from an SEO writer. It's never gonna be the same quality of content that I could get from somebody else because it's coming straight from you.

Stephen: And the efficiency that comes from that also is that you don't have to wonder what gets put out on your website or what gets put out on your social media platforms. You already know what got put out because you're the one who said it. You talk to your customers all the time, and now you're just answering the questions in a very specific way that is very helpful to your customers. Let's move on to the next question, which is why are businesses suddenly talking about answer engine optimization in 2024 and 2025?

and now moving into 2026. The reason being is because I think smart business owners are starting to realize that is where the shift in audience is going. A lot of their traffic, if they're paying attention to it, is already shifting away from search. And if you're lucky, it's now shifting that you're getting the traffic from AI search, but a lot of companies, they're not getting that traffic.

Stephen: And it's because it is a completely different set of optimizations. It's looking for completely different things. It's not looking for robotic AI written text, even though that sometimes will get you ranked quicker. It'll end up hurting you in the long run, sometimes in the very short run. I've seen sites get penalized within two months for putting too much AI-generated content on their website when they didn't have enough human-generated content, which is another benefit of why ours works. None of our content is AI-generated. All of it is human-generated real content that's coming straight from the business. Owner or an expert at the business.

  Generative Engine Optimization (GEO) is the process of optimizing content for generative AI responses in platforms like ChatGPT, Google AI Overviews, and other AI models. Unlike traditional SEO, which focuses on ranking in organic search results based on keywords and links, GEO prioritizes understanding user intent and structuring content to be easily consumed and cited by AI. This often means the top sources for AI responses are not the same as the top organic search results.

  AI search optimization shifts the focus from broad keyword targeting to answering high-intent questions. Businesses need to create content that directly addresses specific user queries, often those indicative of a lower-funnel stage in the customer journey. This approach aims to attract 'warmer' leads by providing precise, valuable information that AI models can readily synthesize and present to users.

  Structured content is vital for AI visibility because generative engines rely on clear, organized information to formulate their responses. By presenting content in a structured, semantic way, businesses make it easier for AI models to identify key information, understand context, and accurately cite sources. This improves the likelihood of your content being featured in AI overviews and summaries.

  Adopting AI engine optimization now offers a significant timeline advantage, comparable to early adoption of major platforms like Instagram in 2013 or TikTok in 2019. Businesses that optimize for generative engines early stand to gain a substantial lead in visibility and authority as AI search becomes increasingly prevalent. This early positioning can lead to long-term market dominance within AI-driven search results.

  Yes, relying too heavily on uncurated AI-generated content can negatively impact AI search optimization. While AI tools can assist, sites have been penalized for not having enough human-generated content to balance AI contributions. A successful strategy, like Attractify's, involves human oversight and technical optimization of content, ensuring quality, relevance, and avoiding penalties from generative engines that prioritize authoritative, well-researched sources.