Are AEO and GEO the same thing?

They overlap heavily but emphasize different layers: AEO focuses on making passages extractable as answers, while GEO covers the full pipeline of being retrieved and cited by generative AI engines. Many practitioners use them interchangeably.

LLMO (large language model optimization) is another name for the same discipline as GEO. It has not achieved consistent adoption; treat it as a synonym rather than a separate practice.

Which should a small business start with?

Start with the diagnosis, not the acronym. If you rank but are never quoted, restructure pages answer-first (AEO). If AI engines never mention you at all, fix rankings and build third-party mentions (GEO).

AEO vs GEO: The Difference, Without the Acronym Soup

AEO (answer engine optimization) is the craft of making individual passages extractable as direct answers; GEO (generative engine optimization) is the broader practice of getting retrieved and cited by generative AI engines. In pipeline terms: GEO covers getting into the candidate pool that an AI engine reads, and AEO decides whether your passage is the one quoted from that pool. In everyday usage the two overlap heavily, and many practitioners use them interchangeably — the work matters more than the label.

TL;DR

AEO = passage-level extractability; GEO = the full pipeline of being retrieved and cited.
The terms overlap heavily and the industry uses them loosely — judge vendors by the work, not the acronym.
Diagnose by failure mode: ranked-but-never-quoted needs AEO; never-mentioned-at-all needs GEO.

Why the confusion exists

The industry adopted the acronyms in reverse order of the pipeline. AEO predates modern chatbots — it grew out of featured-snippet and voice-search optimization around 2019 — while GEO arrived with the 2023 Princeton paper that named and measured the discipline. Marketing agencies then attached whichever label was trending to similar service offerings, and adjacent coinages (LLMO, AIO, LLM SEO) muddied things further. The result: US searches for the comparison keep growing while the top-ranking answers contradict one another.

A working division

	AEO	GEO
Scope	Passage-level formatting	End-to-end AI-answer visibility
Core question	"Will the system quote this section?"	"Will the engine retrieve and cite this brand?"
Typical work	Answer-first sections, question headings, definitions, FAQ blocks	Everything in AEO plus rankings, original data, third-party mentions, entity consistency
Surfaces	Featured snippets, AI Overviews, voice	ChatGPT, Perplexity, Gemini, Claude, AI Mode

Which one you actually need

Diagnose by failure mode. If your pages rank but AI answers and snippets skip them, your problem is extraction — do AEO work: rewrite openings as direct answers, convert headings to questions, add explicit definitions. If your brand barely appears in AI answers at all, your problem is upstream — do GEO work: fix rankings for the queries AI engines fan out to, publish statistics worth quoting, and build mentions on the review sites, forums, and publications AI engines already cite in your category. Since roughly 85% of retrieved pages never make the final AI answer, most sites eventually need both layers.

The honest caveat

These definitions describe the emerging consensus, not a standard. Some credible practitioners reverse the terms, and Google avoids both acronyms entirely, framing everything as ordinary search optimization. Pick one internal vocabulary, define it for your team, and judge vendors by the specific work they propose rather than the acronym on the invoice.