Guide · the terminology, settled

AEO vs GEO: what's the difference?

AEO (answer engine optimization) is the older, broader idea of being the answer — featured snippets, voice assistants, and now AI answer boxes. GEO (generative engine optimization) is specifically about being cited inside a generative AI answer from ChatGPT, Perplexity, or Gemini. Put simply: AEO is "be the answer," GEO is "be cited in the generated answer." In practice the terms overlap so much that most people use them interchangeably — and the work that wins is nearly identical.

Where the two terms came from

AEO is the older label. It grew out of the featured-snippet and voice-assistant era — the years when "winning" search increasingly meant being the single answer Google boxed at the top, or the one result a smart speaker read aloud. The goal was always singular: be the answer, not just a link on the page.

GEO is newer and narrower. The term comes from a 2023 academic paper and refers specifically to the generative engines — ChatGPT, Perplexity, Google's AI Overviews, Gemini — that synthesize an answer and cite a handful of sources beneath it. GEO is about earning a place among those cited sources.

The real difference

Strip away the jargon and it comes down to one distinction:

	AEO — Answer Engine Optimization	GEO — Generative Engine Optimization
Goal	Be the answer	Be cited in the generated answer
Surfaces	Featured snippets, voice, AI answer boxes	ChatGPT, Perplexity, AI Overviews, Gemini
Winning looks like	Your page is read aloud / boxed as the result	Your domain is one of ~5–10 cited sources
Mental model	Own the single spot	Grow your share of many spots

AEO thinks in terms of a single winner. GEO thinks in terms of share — because a generative answer cites several sources, and your realistic goal is to be one of them more often, across more of your niche's questions, over time.

Why the distinction barely matters in practice

Here's the honest part most agencies won't tell you: the terms have collapsed into each other. Ask ten practitioners and you'll get ten slightly different boundaries. "AEO," "GEO," "AI SEO," "AI search optimization," and "LLM visibility" now mostly describe the same job — getting your site surfaced by AI when a buyer asks a question.

More importantly, the work that wins is the same either way. Whether you call it AEO or GEO, the levers we measured across three months on our own products didn't change:

A winnable niche — a fragmented field, not one locked by incumbents. This predicts the outcome before you write anything.
Cluster depth — a domain that reads as the specialist, not one optimized page. (Engines cite a different page of yours than the exact-match one about half the time.)
Factual accuracy — engines learn to distrust pages with wrong facts.
Consistency — share compounds month over month; there is no single-page silver bullet.

None of those are AEO-specific or GEO-specific. They're just what it takes to be trusted by an AI engine.

So which should you optimize for?

Optimize for what you can measure — and what your buyers actually experience. Today that means GEO: your share of the source slots inside ChatGPT and Perplexity answers, for the questions your buyers actually ask. It's concrete (you can count cited URLs), it's where the traffic is heading, and it exposes its sources so you can see who's winning.

"Being the answer" (classic AEO) still matters where AI boxes a single result, but it's harder to measure and increasingly folds into the generative surfaces. If you track your GEO share and grow it, your AEO position tends to follow — the same trusted-source signals drive both.

Our own take: we don't sell "AEO" or "GEO" — we call it an AI visibility audit, precisely because buyers don't agree on the acronyms. What we measure is unambiguous: the share of AI answer slots your domain holds, and whether you can realistically grow it.

Frequently asked questions

Is GEO just the new name for AEO?

Not quite, but close. AEO predates the generative-AI era and is broader ("be the answer" anywhere, including voice and snippets). GEO is specific to generative engines and their citations. In everyday use they've largely merged.

Is either one just SEO with a new name?

They overlap with SEO — strong traditional SEO often helps — but they measure a different surface: citations inside AI answers rather than positions in a list of blue links. The winning tactics can diverge, especially when Reddit or review sites hold the slots.

What about "AI SEO" and "LLM visibility"?

Same territory, different labels. "AI SEO" is the phrase most people actually search; "LLM visibility" emphasizes the tracking side. All of them come back to: is your site surfaced by AI when buyers ask, and can you grow that.

Which term should I use with a vendor?

Use whichever they do — but judge them on whether they measure. A credible provider will show you your answer-slot share across specific engines and buyer questions, benchmarked over repeated runs, not just promise "AEO" or "GEO" as a buzzword.

Skip the acronym debate — measure it.

We measure your share of AI answer slots across ChatGPT and Perplexity, who holds the ones you're missing, and whether you can win them. Call it AEO or GEO; we call it $300, delivered in 48 hours.

Get your audit — $300