GEO vs SEO vs AEO: What Actually Changed (and What Didn't)

GEO, AEO, SEO, and a fresh round of “SEO is dead” headlines. The acronyms are multiplying faster than the actual change underneath them. So let me cut through it: AEO and GEO are basically the same thing, SEO is very much not dead, and what genuinely changed is narrower, and more useful, than the hype suggests.

I work on this every day at Geonimo, measuring how brands show up in AI answers. Here’s the honest version of what these terms mean, what actually changed, and what carries straight over from the SEO you already know.

The three terms, defined

SEO (search engine optimization) is getting your pages to rank in classic search results, the blue links. AEO (answer engine optimization) and GEO (generative engine optimization) both describe getting your brand cited inside the answers AI assistants generate, in ChatGPT, Perplexity, and Google’s AI Overviews. They’re effectively synonyms; I prefer “answer” because it’s the narrower, more accurate description of the goal: be the answer, not just a result.

No, SEO isn’t dead

Every couple of years a new channel triggers a “Google is dying” cycle, TikTok search, Instagram, before that YouTube. Each time, the channel turns out to be additive rather than substitutive. Google’s share of the pie stays roughly constant; the pie itself gets bigger. Google’s own search leadership has said the traffic it sends to publishers is not down. AI search is the newest version of this: a real, growing channel that adds to search rather than replacing it. Declaring SEO dead is a great way to get clicks and a terrible way to plan.

What genuinely changed

Three things are actually different, and they’re worth internalizing:

• Mentions beat rank. An AI answer blends many cited sources into one response, so being mentioned across many of them matters more than holding the single #1 spot. The whole shape of “winning” changes.
• The tail is longer. People type ~6 words into Google and ~25 into a chatbot, then ask follow-ups. That opens a huge space of specific, never-before-asked questions, where new and niche brands can win fast.
• It’s retrieval, not training. Most AI answers come from live search and summarization (RAG), not the model’s training data. You’re optimizing what gets retrieved right now, which is why changes can show up in weeks.

There’s a fourth consequence worth naming: AI visibility is its own game. Many of the domains cited most heavily in AI answers get little traditional search traffic, so you can’t infer one from the other. That’s why it needs its own measurement.

What carries straight over

Here’s the reassuring part: most of what works in SEO still works in AEO. Genuinely useful content, topical authority, real mentions and links, and thoroughly answering the full set of questions around a topic, all of it still matters, and some of it matters more. The engines differ in emphasis (I break that down in how ChatGPT, Perplexity, and AI Overviews cite differently), but the fundamentals are shared. If you’ve built real authority, you have a head start, especially in Perplexity and AI Overviews, which lean on classic search signals.

How to think about investing

Don’t rip up your SEO to chase AI, and don’t ignore AI because SEO still works. Keep the foundation, then add the AEO layer: answer the long tail of specific questions, earn mentions in the sources each engine trusts, and measure your share of voice so you know what’s working. That’s the sequence I lay out in the AEO playbook, build on what you have rather than starting over.

Measuring and improving how brands show up in AI search is exactly what I built Geonimo for. See the rest of my work or get in touch.