# LLMO (Large Language Model Optimization)

> Source: https://rankxai.com/glossary/llmo · Last updated: 2026-08-18

LLMO, or Large Language Model Optimization, is a third name for the practice of getting a brand cited by AI assistants. LLMO is not a distinct discipline from GEO or AEO. Its name is the most literal of the three, and it points at something the other two obscure.

## Why does a third name exist at all?

Because the category is young enough that naming it is still competitive. [GEO](/glossary/generative-engine-optimization) came from a paper, [AEO](/glossary/answer-engine-optimization) came from the search industry, and LLMO came from people who found both misleading: the thing you are optimising for is a language model, not an engine. All three describe the same work.

The practical advice is to pick one and use it consistently, for the same reason a brand picks one spelling of its own name. A retrieval system resolves strings into entities, and three labels for one practice is three entities where you wanted one.

## What does the name LLMO get right?

That some of what an assistant says about you never came from a retrieval step at all. A model carries what it learned in training, and that half of the answer cannot be optimised on any timescale you control: it was fixed at a knowledge cutoff months before the conversation, and no page you publish today reaches it.

This is the uncomfortable part of the category, and it is why an honest tool separates what it can measure from what it cannot. Retrieval you can influence this week. Training-data influence you cannot separate out at all, and any product claiming to isolate it is guessing.

## Does the name change what you actually do?

No, and that is a useful conclusion rather than a dismissive one. Whichever of the three labels a tool or an agency uses, the work that has survived testing is the same short list: answer at the top of the page and at the top of each section, cover the sub-questions rather than the head term, name the entity instead of using a pronoun, and be specific enough to be worth quoting.

The reason to care about the naming at all is commercial rather than technical. A market with three names for one practice is a market where positioning is doing more work than method, and the tell to watch for is a vendor whose differentiator is a vocabulary rather than a measurement. There is a second reason, and it is more practical. Whatever you call this internally, the words you publish should match the words your buyers actually search, and for now those are still the older terms rather than this one. Naming a service page after the label you prefer is how a page ends up correct and unfindable at the same time.

## Sources

- [Aggarwal et al., GEO: Generative Engine Optimization, KDD 2024](https://arxiv.org/abs/2311.09735), checked 2026-08-18