GEO, AEO, AI SEO and LLM optimization describe close to the same practice: getting a business named when someone asks an AI what to buy. Reflexa uses GEO (Generative Engine Optimization) for the method and AI visibility for the outcome. The one measurement that settles which term matters: does ChatGPT, Claude or Perplexity actually name your company.
Buyers meet all four terms within the same search, often on the same page. This is a plain-English map of what each one emphasizes and why this site's pillar guide to GEO settles on Generative Engine Optimization as the working term.
All three describe the same shift: as buyers move from typing keywords into Google to asking a question to an AI, a company needs to be one of the two or three names the answer gives back, not one of ten blue links. None of the three terms changes what actually earns that spot: a site AI crawlers can reach, an unambiguous entity, a page that answers the buying question directly, and independent corroboration from sites you don't control.
Bottom line: pick a term to talk about the work internally, but don't let the choice of word change the checklist. It doesn't.
AEO (Answer Engine Optimization) is the older term, built for winning a single spoken or featured-snippet answer before generative AI existed. It grew out of optimizing for Google's featured snippets and for voice assistants that read out one result instead of a list of links. Today, most people who say AEO mean the same thing GEO means: getting picked as the answer, not ranked among links.
The difference that remains is emphasis. AEO talks about "the answer," a single, retrieved piece of text. GEO talks about an answer a generative engine writes, which can blend claims from several sources in one paragraph, something a read-aloud snippet never did. That distinction matters for how a page should be structured, since a generated answer can quote one sentence from your page and a different sentence from a competitor's in the same response.
Practical takeaway: if your team already uses AEO, you don't need to relearn anything. The work GEO describes is the same work.
"AI SEO" is not a term any AI engine or standards body defines, and it gets used two different ways. Some writers mean using AI tools to do ordinary SEO work, drafting titles, generating content briefs, clustering keywords. Others mean the same thing GEO means, optimizing a site to be favored by AI answer engines. Because the phrase carries both meanings at once, it's easy to misread.
Proof: Google's own guidance on generative AI features never uses the phrase "AI SEO"; it describes the same fundamentals that already apply to Search, plus original information and independent corroboration as what its AI features weigh, Google — optimizing for generative AI features.
Do this: when someone says "AI SEO," ask which meaning they intend before agreeing to a plan built on it.
LLM optimization is the broader, more technical umbrella term: making content retrievable and citable by any large-language-model surface, not only consumer answer engines. That includes an internal support assistant, a retrieval-augmented-generation (RAG) system built on a company's own documents, or a coding assistant citing a library's docs. GEO is the specific slice of LLMO aimed at buyer questions inside ChatGPT, Claude and Perplexity, the slice that decides whether a customer hears your name.
Bottom line: for a company trying to get recommended by AI, GEO is the relevant slice of LLMO. The wider term rarely changes what to do next.
| Term | What it emphasizes | Where it came from | Overlaps with |
|---|---|---|---|
| GEO | Being one of the names a generative engine gives | Coined for the shift to AI-generated answers | AEO, AI SEO, LLMO |
| AEO | Winning a single spoken or featured-snippet answer | Voice assistants and snippets, before generative AI | GEO |
| AI SEO | Ambiguous: AI-assisted SEO work, or ranking in AI answers | SEO industry marketing | GEO (one of its two meanings) |
| LLM optimization (LLMO) | Any LLM surface, consumer or internal | Developer and technical usage | GEO is a subset of it |
Because GEO is the method and AI visibility is the outcome, and Reflexa's job is to measure and improve the outcome, not to watch a dashboard for its own sake. The three things it counts, Mentions, Recommendations and Citations, are defined once on the GEO glossary and reported as observed counts per engine, never rolled into a single made-up score.
Positioning, in one sentence: be there when your next customer asks AI what to buy. GEO is how you get there; AI visibility is whether you did.
None of the four terms matters as much as one fact: does ChatGPT, Claude or Perplexity name your company for a real buyer question? Run five buying questions your last five customers would plausibly have asked, across all three engines, and count whether you're named, recommended or absent. That single check settles more than any argument about which label is correct.
Proof: this is the same measurement behind how to measure AI visibility, the three counts, per engine, that replace a single blended score.
Skip the terminology debate and run the actual check:
In practice, yes, almost entirely. AEO started as a term for winning a single spoken or featured-snippet answer, before generative AI existed. GEO covers the same goal for answers that ChatGPT, Claude and Perplexity generate and blend from several sources. Most people who say AEO today mean what GEO means.
No engine or standards body defines it. It is used two ways: using AI tools to do ordinary SEO work, or optimizing a site to be favored by AI answer engines, which is the same job GEO describes. Because it is ambiguous, this site uses GEO instead.
The AI Visibility Platform. GEO is the method; AI visibility is the outcome Reflexa measures and helps improve, reported as Mentions, Recommendations and Citations per engine, never a single blended score.
No. The terminology does not change the work: open your site to AI crawlers, make your entity unambiguous, answer real buyer questions directly, and earn independent corroboration. Call that GEO, AEO or AI SEO and the checklist is the same.
A broader, more technical term for making content retrievable and citable by any large language model surface, not just consumer answer engines, including internal assistants and RAG systems. GEO is the specific slice of LLMO aimed at buyer questions in ChatGPT, Claude and Perplexity.
The free check runs the actual measurement in about three minutes, with the full answers and sources.