Latest / Answer Engine Optimization (AEO): The AI Search Podcast / Google Just Killed GEO: Why AEO Is Still Just SEO
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 AI search distribution — breaking down what is actually working right now so your brand becomes the answer, not just a link. Today we are joined by Marcus Reid, industry analyst and former Googler. Marcus, welcome. [Guest] Hey everyone, good to be here. I’ve been waiting for this one. [Host] So Marcus, let’s start with a moment I think a lot of our listeners will recognize. You are a marketing director at a growing brand. You open LinkedIn and see five posts about G.E.O. — Generative Engine Optimization. Then someone pitches you an llms.txt file. Another consultant says you need to chunk your content differently for AI. You start to feel like everything you knew about S.E.O. is obsolete. That knot in your stomach? It’s real. [Guest] That knot is also exactly the feeling that a cottage industry of consultants has been feeding on for the last eighteen months. One sentence in Google’s new Search Central guide invalidated roughly eighteen months of G.E.O. course content. [Host] Right. That sentence is: “From Google Search’s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still S.E.O.” So the thing you were panicking about? It has a name — G.E.O., A.E.O., L.L.M.O. — but Google just said those are not separate disciplines. [Guest] Exactly. And they went further. They devoted an entire “Mythbusting generative AI search” section to calling out specific tactics. llms.txt? Not needed. Content chunking? That’s just writing clear, self-contained sections. Separate G.E.O. meta tags? Unsupported. Specialized citation optimization? That’s called link building, and you are already doing it. [Host] Let’s talk about how this works under the hood. Google’s AI Overviews and AI Mode still pull from the same knowledge graph, ranking signals, and content understanding as traditional search. They are not a separate system. So if you have clean structure, authoritative content, and good user experience, you are already optimized for AI search. There is no secret sauce. [Guest] I would nuance that slightly. The signals are the same, but the outcome has changed. You are no longer just optimizing for a click — you are optimizing to be the source that gets synthesized into an answer. That changes what you write. A product review that ranks #1 on Google might still get ignored by AI if it is a listicle with no clear verdict. But the underlying principles? Authority, clarity, trust. That is S.E.O. 101. [Host] That nuance is fair — and it is exactly why this matters. Google’s guide is a direct shot at the G.E.O. hype train. Companies like Ahrefs and speakers at MozCon 2025 have echoed the same message: it is all just S.E.O. But here is the real impact: marketing budgets that were being allocated to separate G.E.O. retainers can now be funneled back into proper S.E.O. programs. The agencies that sold G.E.O. as a premium service? They have a credibility problem. [Guest] I actually do not know if this holds in six months. Google could change their mind, or AI search could evolve in a way that requires new tactics. But for right now, the data is clear. And I think the industry reaction proves it. The top comment on the Reddit r/DigitalMarketing thread was literally: “Google wins. Just do S.E.O.” [Host] That thread also had people saying G.E.O. is a buzzword. But there is a middle ground. Some practitioners argue that even if the signals are the same, the distribution channel is new — so we need a vocabulary update. I think that is fair. Call it A.E.O. if it helps you focus on being the answer. But do not pretend it requires a different playbook. [Guest] One concrete example: a client of mine had a consultant pitch them a $10k G.E.O. audit that included an llms.txt file and a schema overhaul. Google’s guide basically said that money would have been better spent on a single piece of authoritative, well-researched content. That is the kind of real-world damage these myths cause. [Host] So what does this mean for the brands listening? This is where we connect it to what we do at A.E.O. Engine. Our whole premise is that being the featured answer in AI search requires systematic authority building, clean topical mapping, and content that models answer structure. Google just confirmed those are the same signals that work for traditional S.E.O. We are not doing something separate — we are doing S.E.O. in the age of answer engines. And that approach has delivered a 920 percent average lift in AI-driven traffic for our clients. [Guest] I will push back a little. If it is all just S.E.O., then why do brands need a specialized agency? Because the execution still matters. Knowing that structured data works is different from implementing it correctly across a thousand product pages. A.E.O. Engine’s value is not in a secret G.E.O. method — it is in the systematic automation and speed. Fast, crawlable, consistent content at scale. That is a legitimate advantage. [Host] Right. The principles are universal, but the application is hard. So the takeaway: ignore the hype, invest in quality, and use tools that automate the fundamentals. Marcus, any final thought? [Guest] This is like that line from Succession: “You are not a serious person.” If you are paying for G.E.O. courses, you are not a serious marketer. Just do S.E.O. well. [Host] Harsh, but true. That is our show. Head to A.E.O. Engine dot A.I. to learn how we turn these principles into automated growth. I am Aria Chen. Thanks for listening.