Large language model optimization, at least literally. In practice it covers the same work as GEO, but the name misleads: you are not optimizing the model, you are influencing what is available about you. It is rarely used; if you see it in a proposal, ask what precisely is meant.

Are AEO and GEO the same thing?

In practice largely yes, and most providers use them interchangeably. Where the emphasis differs: AEO focuses on the direct answer, GEO more broadly on generative surfaces. Neither is a standard, so the word alone does not tell you what you get — the measurement description does.

Which term should I use for my own company?

Whichever your buyers type, which is a search question rather than a professional one. For internal use, prefer the more precise phrasing, because acronyms cause misunderstanding inside teams too. We use the market's word in visible copy and our own precise terms in methodology.

Do they have official definitions?

No. None of these acronyms has a standards body or a commonly agreed definition, and providers use them differently. That is not misconduct, it is the normal state of a young field — but it means proposals cannot be compared on the basis of the word.

How does this relate to your own vocabulary?

We use market words where buyers search and our own, more precise terms where we discuss measurement. We do not mix them: the market's word appears in headings, ours in the methodology, so it stays clear exactly what is being measured. The full glossary is in our vocabulary.

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AEO vs GEO vs LLMO: a concept map for the market's acronyms

Most of these acronyms point at the same work under different names — the real difference is the unit of measurement, not the initials.

Updated · August 9, 2026

The market produces acronyms faster than the underlying practice settles. That is not a problem in itself, but it confuses buyers: it is hard to tell whether two providers are selling different things or the same thing under two names. The short answer is usually the same thing with a different emphasis. The useful distinction is not between the initials but between WHAT IS MEASURED. Measuring position is classic search optimization. Measuring whether you are named in a generated answer is work aimed at generative surfaces. Measuring what a model knows unaided examines trained memory. Those three genuinely differ, because their time horizons and their intervention points differ. The table below organises that; the deeper methodological distinction — including what we measure and what we do not — lives in our methodology writing, and we link there rather than restating it.

The concept map

Who uses each term, what it covers, and its unit. This describes market usage rather than a standard: none of these acronyms has an official definition, and providers use them differently.

The concept map
Acronym	Expansion	What it measures	When the word is useful
SEO	Search Engine Optimization	position, clicks	The classic results list. The technical foundations come from here and have not expired.
AEO	Answer Engine Optimization	presence on answer surfaces	Emphasis on the direct answer rather than the link list. Many use it as a synonym for GEO.
GEO	Generative Engine Optimization	being named in a generated answer	The most widely used umbrella term. Note that "geo" is ambiguous in English because of its geographic sense.
LLMO	Large Language Model Optimization	model behaviour	The least used and least accurate: it implies you optimize the model itself, which is not what happens.
"AI SEO"	no fixed expansion	mixed	An umbrella phrase. Often means AI-assisted content production rather than presence on AI surfaces — worth asking which.
AIO	AI Overview / AI Optimization	ambiguous	Denotes two unrelated things: Google's generated summary, or general AI optimization. Avoid without qualification.

Last verified · August 9, 2026

Why there are so many acronyms

Because the field is young and everyone wants to name their own approach. That is a normal state — search optimization went through the same phase before it settled. The practical consequence is real, though: buyers cannot tell whether two proposals describe two different things. It helps to know that most of these acronyms mark emphasis rather than a technological difference, and that nearly all of them rest on the same technical foundations: crawlability, server-side content, an unambiguous entity, sourced claims.

The real difference is the unit

If you want one question that sorts this out, it is what gets measured. Position in a list of results? That is classic search optimization, whatever it is called. Being named in a generated answer? That is work aimed at generative surfaces. What a model knows about you unaided? That examines trained memory, and its horizon is entirely different — the first two measure in weeks, this one in model generations. Those three genuinely differ, not because of their names but because their intervention points and feedback loops differ.

What to ask a provider

Four questions make two proposals comparable regardless of which acronym they advertise. What do you measure — being named, being cited, or merely appearing? How many times do you run the same question, and how do you handle variance? Where does the question set come from — real demand, or your own ideas? And what do you compare against at the end: the same set, or a new one? If precise answers come back, the acronym is irrelevant. If they do not, the acronym is the least of the problems.

Frequently asked questions

What does LLMO mean?: Large language model optimization, at least literally. In practice it covers the same work as GEO, but the name misleads: you are not optimizing the model, you are influencing what is available about you. It is rarely used; if you see it in a proposal, ask what precisely is meant.
Are AEO and GEO the same thing?: In practice largely yes, and most providers use them interchangeably. Where the emphasis differs: AEO focuses on the direct answer, GEO more broadly on generative surfaces. Neither is a standard, so the word alone does not tell you what you get — the measurement description does.
Which term should I use for my own company?: Whichever your buyers type, which is a search question rather than a professional one. For internal use, prefer the more precise phrasing, because acronyms cause misunderstanding inside teams too. We use the market's word in visible copy and our own precise terms in methodology.
Do they have official definitions?: No. None of these acronyms has a standards body or a commonly agreed definition, and providers use them differently. That is not misconduct, it is the normal state of a young field — but it means proposals cannot be compared on the basis of the word.
How does this relate to your own vocabulary?: We use market words where buyers search and our own, more precise terms where we discuss measurement. We do not mix them: the market's word appears in headings, ours in the methodology, so it stays clear exactly what is being measured. The full glossary is in our vocabulary.

Sources

Google — AI features and your website. https://developers.google.com/search/docs/appearance/ai-features
Perplexity — Crawlers. https://docs.perplexity.ai/docs/resources/perplexity-crawlers