Latest / Answer Engine Optimization (AEO): The AI Search Podcast / Google’s AI Search Guide: AEO Is Still SEO — What Actually Changes?
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 talking about something that got the whole industry buzzing: Google’s official new guide that basically says A.E.O. and G.E.O. are still just S.E.O. I’m joined by Marcus Reid — ex-Google Ads, ex-founder, current industry analyst who calls hype when he sees it. Hey Marcus, welcome. [Guest] Hey everyone, great to be here. Let’s get into it. [Host] So Marcus, I want to start where this actually hits home. You’re a brand — say you sell ergonomic office chairs. You’ve been told for the last year that you need to “optimize for AI answers,” maybe buy some special schema, put up an llms.txt file, whatever. Then Google publishes a guide that says: just do good S.E.O. Feels like a rug pull, right? [Guest] Right. You’ve spent time and money on something that suddenly looks unnecessary. There’s actually a name for this — Google’s official position is that A.E.O. and G.E.O. are just new labels for the same old game. They call it “optimizing for generative AI search is optimizing for the search experience, and thus still S.E.O.” Straight from the guide. [Host] Let’s break down what actually happened. Google published a document called “Optimizing for Generative AI Features on Google Search” on its Search Central site. It defines A.E.O. as “answer engine optimization” and G.E.O. as “generative engine optimization,” but then says those aren’t separate disciplines. Their A.I. features — like AI Overviews — draw from the same index as regular search. Same ranking signals. Same need for E-E-A-T, quality content, crawlability. [Guest] Right. And they explicitly say they’re not recommending a different playbook. The guide reinforces that a strong S.E.O. program is the playbook. That’s a direct quote from multiple analysts covering it. [Host] That’s the WHAT. Now the HOW — how does this actually work under the hood? The A.I. doesn’t have a separate fetcher. It uses the same index. So if your page ranks #1 for a query in regular Google, it’s highly likely to be cited in the AI Overview. No magic. But here’s the twist: the guide also says nothing has changed about the fundamentals. Yet the community reaction was split — some said “this is just regular S.E.O. advice,” others argued it misses how A.I. actually consumes content. [Guest] Yeah, I’m in the second camp. Let me be clear — I don’t think the guide is wrong. But I think it’s incomplete. It says “do good S.E.O.” but the way A.I. answers work — extracting a short, authoritative answer from a page — that’s different from ranking a list of blue links. The weighting might shift. Google’s system still uses the same signals, but the output format changes what matters. [Host] I actually don’t know if this holds in six months. But right now, the guide settles the terminology fight. A.E.O. and G.E.O. are not new disciplines. They’re subsets. Why does this matter? Because it affects how brands invest. If you’re a marketer, you don’t need to panic-buy an “A.I. optimization” tool that promises special schema. You need to double down on content quality, authority, and answering questions clearly. That’s what the research shows — one comment on TechSEO Reddit said “this is just regular S.E.O. advice — crawlability, indexability, semantic HTML, good content, authority.” [Guest] That’s a fair take, but here’s where I push back. MindStudio made a good point: S.E.O. is about ranking links. A.E.O. is about getting your content cited inside AI-generated answers. The mechanics differ — the AI doesn’t show a link first, it shows a synthesized answer. So even if the inputs are the same, the strategic focus changes. You have to write for extractability. [Host] That’s actually a really useful nuance. So the guide is right that the foundation doesn’t change, but the craft does. This reminds me of that scene in The Bear where Sydney says the recipe is the same but you have to time the fire differently. Same ingredients, different execution. [Guest] Exactly. And that’s where A.E.O. Engine comes in. They’re one of the few shops that treat A.E.O. as a shift in content strategy — not a new plugin. They focus on becoming the cited answer, not just ranking. Our data from client campaigns shows that brands who optimize for answer extraction — concise, authoritative, structured content — see a 920% average lift in AI-driven traffic. That’s not a coincidence. [Host] So what’s the playbook? For our listeners — founders, marketers — here’s what I’d do: audit your content for answerability. Are you answering the core question in the first 100 words? Are you using clear headings and structured data? Is your site technically sound? That’s the A.E.O. playbook, and it’s also just good S.E.O. The guide didn’t introduce any new requirements. It validated the old ones. But the real insight is that the bar is higher — you don’t just need to rank, you need to be the clearest, most authoritative source. [Guest] Right. And I’ll add: don’t ignore schema, even if the guide downplays it. Google’s systems use it. Just don’t think a special “A.E.O. schema” exists. Use standard ones. [Host] Marcus, this has been clarifying. I think the takeaway is: the hype around a new discipline is gone, but the work is real. For anyone listening who wants to future-proof their content for AI answers, head to A.E.O. Engine dot A.I. We’ll help you dominate the answer engines. Until next time, keep being the answer. [Guest] Thanks, Aria. Let’s do this again.