GEO vs AEO vs SEO: what each one actually optimizes
Three acronyms, a lot of overlap, and a fair amount of vendor noise. Here's the plain version of what each one does — and how to divide your attention.
Every few years the search world invents a new acronym, and a small industry forms around explaining it. GEO and AEO are the current pair. Before you spend a penny optimising for either, it helps to know what they actually change versus the SEO you already do.
SEO — optimising for the list of links
Search Engine Optimization is the one you know. You make pages a search engine can crawl, understand and rank, so they appear high in the results. The currency is the click. You win position one, you win the visit.
It isn't going anywhere. Most buying journeys still pass through a traditional results page at some point. But it's no longer the whole story, which is where the other two come in.
AEO — optimising to be the answer
Answer Engine Optimization aims to make your content the direct answer, not just a link near it. Featured snippets, “people also ask,” voice results — the older end of this. The reward is being lifted to the top as the response, which can mean visibility without a click.
AEO is broader than GEO and predates the AI boom. Think of it as the parent category. Full detail in What is AEO?
GEO — optimising for generated answers
Generative Engine Optimization is the newest and narrowest. It targets the models that write prose and cite sources — ChatGPT, Perplexity, Google's AI Overviews, Gemini, Copilot, Claude. You're trying to be one of the handful of sources a model trusts enough to name when it answers.
The mechanics differ from SEO in a way that matters: there's no single rank to chase. You're competing for inclusion in a synthesis, across several engines that each draw on different sources. The long version is in What is GEO?
Do they fight each other? Mostly no.
Here's the reassuring part. The fundamentals that win at SEO — clear structure, genuine authority, content that answers the question — are the same fundamentals that win at AEO and GEO. You're rarely choosing between them. A well-made page tends to do reasonably across all three.
The differences are at the margin. GEO rewards a clean, liftable answer near the top and citations from sources the models already trust. SEO still cares about links and technical health. AEO sits in between. You're tuning the same instrument, not buying three of them.
How I'd split the effort
For most teams, the order is: get the SEO fundamentals right first, because they underpin everything. Then measure your AI visibility before you spend on improving it — you may already be doing better than you think, or worse, and either way you want the number. Only then invest in GEO-specific work, and only on the engines your buyers actually use.
The thing to avoid is treating GEO as a brand-new discipline that replaces your existing work. It doesn't. It's a new surface to measure and a few new tactics — not a reason to throw out the playbook.
When you're ready to measure, the ranking shows which tools cover which engines, and at what price.