GEO vs. AEO vs. LLM SEO: what's the actual difference?

By Vladimir Boldyrev · LLMBrandScan · Published August 4, 2026 · Updated August 18, 2026

Three terms, one underlying job, and no standards body to settle the naming fight. If you've seen “GEO,” “AEO,” and “LLM SEO” used interchangeably in the same blog post — that's not sloppy writing, it's an accurate reflection of how unsettled the vocabulary still is. Here's the disambiguation.

Only one of the three has a paper behind it

GEO is the single term of the three you can point a reader at a source for. It was introduced in GEO: Generative Engine Optimization (Aggarwal et al., arXiv:2311.09735, 2023), which framed AI-generated answers as a visibility surface in their own right and tested which content changes move a brand's presence in them. AEO grew out of the pre-generative answer-box era with no equivalent founding document, and LLM SEO has no origin beyond marketers needing a phrase their clients already understood. That asymmetry is worth knowing before you put a term in a document someone might fact-check.

Where the work actually differs: by surface, not by acronym

Arguing over the label hides the distinction that changes what you do on Monday. Each AI surface assembles its answer differently, and that assembly — not the name of the discipline — decides which lever is available to you.

Read down that middle column and the naming argument dissolves. A retrieval-first engine rewards a quotable page; a recall-first one rewards being written about elsewhere; the two Google surfaces inherit whatever the index already thinks of you. No acronym reorganizes that, which is why a plan built around one term and applied to every engine tends to work on one of them.

Why the naming fight barely matters

LLM SEO is the informal name for the work of making a brand more likely to be named, and named accurately, when a large language model answers a question in its category. It is not a separate discipline from Generative Engine Optimization (GEO) so much as its plainer-language synonym, coined by search marketers applying familiar SEO vocabulary to a new surface. Of the three terms in circulation — GEO, Answer Engine Optimization (AEO), and LLM SEO — only GEO traces to a written definition, the 2023 paper by Aggarwal and colleagues that introduced it; none of the three has a standards body, and usage is set by whichever vendors adopt a term first. That is why one tactic — clear, verifiable, well-structured content that third-party sources corroborate — is sold under all three names depending on who is selling it. A brief that names the outcome instead, more accurate and more favorable mentions in AI answers, sidesteps the debate entirely.

Whichever term ends up dominant, the underlying tasks converge: publish clear, verifiable, well-structured facts about your product; make them easy for a model to find and cite; and measure whether any of it correlates with more mentions. Read our GEO explainer for the definition in full, or AEO myths vs. facts for the answer-extraction side specifically.

The one thing all three actually require

Measurement. Whatever you call the discipline, the only way to know if it's working is to sample real questions against real engines and track whether your mention rate moves — not to trust that a tactic labeled “GEO” or “LLM SEO” works because the label sounds current.

Frequently asked

An agency pitched me an 'LLM SEO' package. Is that a real service?

The label tells you nothing either way — it is a synonym for GEO, and anyone can print it. What separates a real engagement from a repackaged content retainer is what gets measured: which engines are sampled, how many buyer questions, how often, and whether you are shown the answers themselves or only a score derived from them.

Which of the three terms belongs in a brief or a job title?

GEO, if the document will be read by someone who might check it. It is the only one of the three with a citable definition behind it, and it is the term the vendor category has converged on. Use 'LLM SEO' when the reader is more comfortable with SEO as a category than with a new acronym — the work described is the same.

Will the naming settle on one term?

There is no way to know, and it is worth noticing that no AI lab has adopted any of the three. Vocabulary here is set by vendors and publications, so the term that wins will be the one the biggest tools print in their marketing, not the one that describes the work best. Writing briefs around the outcome rather than the label keeps them readable either way.