Latest / Answer Engine Optimization (AEO): The AI Search Podcast / Google's AI Guide: A.E.O. and G.E.O. Are Just S.E.O.
Transcript
- [Host] Welcome to the A.E.O. Engine AI Search Show — the number one podcast for brands looking to get cited by ChatGPT, Gemini, and Perplexity. I am your host, Aria Chen. Every day we bring you fresh episodes on A.E.O. tactics, S.E.O. authority, and A.I. search distribution — breaking down what is actually working right now so your brand becomes the answer, not just a link. Today we're diving into Google's first ever official guide on optimizing for generative AI search, and it's making some waves. I'm joined by Marcus Reid. Marcus, welcome to the show. [Guest] Hey Aria, glad to be here. I've been watching this unfold — it's a big deal. [Host] Let's start with a feeling I think a lot of our listeners have had. You're a marketer, you're reading the blogs, watching the webinars, and suddenly there's this whole new vocabulary: llms.txt, content chunking, answer engine optimization, generative engine optimization. You start wondering if everything you knew about search is obsolete. Well, Google just answered that question directly. [Guest] Right, and their answer is basically: relax, it's still S.E.O. They published a guide on their Search Central site that directly addresses the terms A.E.O. and G.E.O. — defines them, acknowledges them, and then says, from Google's perspective, optimizing for generative AI search is optimizing for the search experience, and that's still S.E.O. [Host] Exactly. So for anyone who's been hearing those acronyms and feeling behind — there's actually a name for this now. Google's position is that A.E.O. and G.E.O. are not separate disciplines. The guide says, quote: "From Google Search’s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still S.E.O." [Guest] It's a reality check. For the past couple of years, a whole cottage industry has sprung up selling new playbooks specifically for A.I. search. And now Google comes out and says the fundamentals are the same. [Host] Let's break down what actually happened. Google released its first official guide titled "Google's Guide to Optimizing for Generative AI Features on Google Search." It defines A.E.O. as work focused on being selected inside direct answers and A.I.-generated summaries. It defines G.E.O. as work focused on how brands are represented and cited inside generative engines like Gemini, GPT, and Perplexity. Then it explicitly states these are just S.E.O. [Guest] And importantly, it explains how these A.I. features work. They are rooted in the same web index as traditional organic results. The same ranking signals apply: E-E-A-T, quality content, structured data, accessibility, crawlability. The guide doesn't introduce any radical new tactics. [Host] Which is exactly why the community reaction has been a mix of relief and deflation. On Reddit's TechS.E.O., the immediate comment was "wait, this is just regular S.E.O. advice." It's a useful corrective for an industry prone to fads. [Guest] But here's why it matters beyond the buzzkill factor. This guide settles a growing debate. It reduces confusion for content creators and marketers. Instead of chasing multiple acronyms, teams can focus on one core set of optimization principles. And it reinforces Google's authority over the ecosystem — they're defining the terms on their own terms. [Host] The significance is real. It undercuts the argument that businesses need entirely separate strategies for A.I. search. It also affects tool vendors and consultants who built offerings around A.E.O. and G.E.O. as distinct disciplines — they'll need to reposition. [Guest] Yeah, the guide directly names popular optimization tactics it says aren't necessary. It doesn't mention llms.txt or content chunking explicitly, but it makes clear that those are not required. The emphasis is on E-E-A-T, quality content, and core ranking signals. [Host] Now, I know what some listeners might be thinking. This is the A.E.O. Engine show, and A.E.O. is literally in our name. So does this mean what we do is unnecessary? I'd say the opposite. This guide aligns perfectly with our approach. A.E.O. Engine is about making your brand the answer that A.I. cites. That requires strong S.E.O. fundamentals. We never claimed it was magic — we claimed it was about being authoritative, structured, and trustworthy. The same things Google's guide emphasizes. [Guest] I'll push back a little here, Aria. If it's just S.E.O., why the separate branding? Why not just call it S.E.O.? [Host] Fair question. The term A.E.O. describes a specific outcome — being the answer in A.I. summaries. It's a lens, not a separate discipline. We help clients focus on that outcome, but the methods are S.E.O. best practices, executed with A.I. in mind. Google's guide doesn't change that; it validates it. [Guest] I buy that. The guide is saying, don't buy into hype that you need a completely new playbook. But the execution still differs in subtle ways — how you structure content to be extracted for a summary, how you use schema entities. That's not new, but it's a shift in emphasis. [Host] Exactly. And that's where the real work is. For brands, the takeaway is clear: invest in quality content that demonstrates E-E-A-T. Make sure your site is technically sound. And if you want to dominate A.I. search, ensure your content is structured in a way that makes it the easiest, most authoritative source for A.I. to cite. That's what we do at A.E.O. Engine. [Guest] I think the guide also serves as a warning. Brands that have been neglecting fundamentals in favor of shiny new tactics are going to fall behind. A.I. search doesn't replace S.E.O.; it makes strong, fundamental S.E.O. more important than ever. [Host] So to wrap up: Google's first official A.I. search guide confirms what many of us suspected — A.E.O. and G.E.O. are not separate disciplines. They are S.E.O. for the age of generative search. Focus on quality, authority, and clarity. And if you want to ensure your brand becomes the answer, not just a link, head over to https://aeoengine.ai. We'll help you get there. Thanks for listening, and we'll see you next time on the A.E.O. Engine AI Search Show.