Latest / Answer Engine Optimization (AEO): The AI Search Podcast / Stop Splitting A.E.O. and G.E.O. From S.E.O. — Here’s Why
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 a debate that’s been rattling marketing teams for months. Should you spin up a separate team for something called G.E.O.? Or fold it into what you already do? My guest is Marcus Reid — ex-Google Ads, ex-founder, current analyst who actually remembers when S.E.O. was just meta tags. Marcus, welcome. [Guest] Hey Aria. I’m still sore about those meta tags taking a week to update, but yeah, I’m here. [Host] Right — because you finally get your S.E.O. strategy humming. Keyword clusters, topical authority, backlink pipelines. Then someone at a conference says, “That’s cute, but have you hired a G.E.O. team yet?” And suddenly you’re back to zero, wondering if you need to hire four more people. That moment? That’s the exact feeling Jake Ward pointed at when he said: stop treating A.E.O. and G.E.O. as separate from S.E.O. He argued that fragmenting your approach for AI search visibility is exactly the wrong move — that you should build on top of what you already own. [Guest] And I think there’s a real name for that friction. It’s the tension between wanting neat categories — A.E.O. means answer boxes, G.E.O. means generative engine citations — and the messy truth that a lot of this is just good S.E.O. done differently. The research brief we’re working from makes that overlap explicit: “good S.E.O. practices directly support G.E.O. and A.E.O., but the optimization targets are distinct enough that treating them as one discipline means leaving visibility on the table.” So the question isn’t whether to separate — it’s how to layer. [Host] Exactly. Let’s be concrete. What actually happened? Jake Ward, who’s been yelling about this on X, essentially said: don’t create a G.E.O. silo. Don’t spin up a whole new department. The research we pulled shows that A.E.O. builds on S.E.O. — it structures content for direct answers using schema, FAQ markup, clear definitions. G.E.O. extends reach by making sure AI crawlers have enough structured, authoritative info to answer complex questions inside the engine itself. One source said, “It’s about ensuring the AI crawlers have enough information to answer a potentially more complex question within an AI engine.” That’s not a new religion. It’s an evolution. [Guest] (deadpan) So I don’t need to rebrand as a “Generative Experience Architect”? Good. My business cards are already outdated. [Host] You joke, but there are real mechanics here. The old S.E.O. playbook earned ranking through backlink authority and crawl signals. G.E.O. and A.E.O. earn visibility through something the community calls model confidence — the AI’s trust that your content is the best thing to synthesize. One Reddit thread we saw said the inputs are different: topical depth per entity, co‑citation frequency, structured markup that AI parsers can extract cleanly. So it’s not “just S.E.O.” — but it’s not a separate planet either. [Guest] Let me push back a little. People who argue for separation have a point. Traditional ranking signals don’t map perfectly onto what an AI like ChatGPT cares about. It cares about entity clarity, citation consistency across the web, and having authoritative third-party sources mention you. That’s why some practitioners argue that managing your brand’s presence on Reddit, forums, authoritative sites becomes a direct visibility driver — something classic S.E.O. didn’t explicitly require. You can rank number one on Google and still get completely ignored by Gemini if your brand has no co‑citations outside your own domain. [Host] That’s fair. But the risk of treating it as completely separate is that you duplicate effort. You end up with one team optimizing for “traditional S.E.O.” and another for “G.E.O.”, and neither talks to each other. Meanwhile, the overlap is massive — schema markup helps both; entity resolution helps both; topical authority helps both. The CXL article we referenced called it a reality check: A.E.O. and G.E.O. are real shifts, but best understood as evolution, not replacement. And I’d add — not replacement for your S.E.O. budget. [Guest] I actually don’t know if this classification holds in six months. The AI search is moving faster than the labels. Think about when Perplexity launched — everyone scrambled for “Perplexity optimization.” Now it’s just part of the conversation. So I agree with the core: build on your S.E.O. foundation, add the specific tactics — atomic content chunks, question-answer paragraphs, brand-as-ranking-signal — but don’t rebuild your org chart. That’s just going to waste energy. [Host] It reminds me of that scene in Succession where Kendall tries to run a separate company from Waystar — he ends up using the same assets, same people, just adding another layer of meetings. The smart move, and this is where it connects to what we do at A.E.O. Engine, is to treat AI visibility as a layer on top of your existing S.E.O. system. Our clients — brands like Morph Costumes, Smartish — they don’t separate “S.E.O. content” from “A.E.O. content.” They use always-on AI agents that produce structured, schema-rich content designed to rank on Google and feed AI answer engines simultaneously. That’s the integrated approach. And the data backs it: we’ve seen 920% average lift in AI-driven traffic because the foundations are right. [Guest] So the playbook isn’t “hire a G.E.O. specialist.” It’s “make sure your S.E.O. team understands how to optimize for model extraction and citation needs.” That’s a training and tooling shift, not a reorganization. [Host] Exactly. And I think that’s the takeaway Jake Ward would want. Don’t let the acronyms trick you into building silos. The user doesn’t care where the answer comes from — they just want it fast and correct. Your job is to be the source the AI trusts, whether it’s a featured snippet, an AI Overview, or a ChatGPT citation. That’s one strategy, not three. [Guest] I’ll buy that. One strategy, with distinct tactics. And maybe we can retire the phrase “Generative Engine Optimization” before it gets a Wikipedia page. [Host] Too late. But that’s a fight for another day. Thanks for joining us, Marcus. [Guest] Thanks, Aria. [Host] If you want to stop guessing and start measuring your AI citations — and actually apply an integrated S.E.O.-plus-A.E.O. system — head to A.E.O. Engine dot A.I. We’ll help you dominate the new search stack without rebuilding from scratch. I’m Aria Chen, and this is the A.E.O. Engine AI Search Show. See you next time.