# [LLMO: the fourth name for the same work](https://rebilder.com/solutions/llmo) > LLMO stands for large language model optimization. It is the fourth acronym for one job. What the term means, and what the job actually requires. - **Updated:** 2026-08-17 LLMO stands for large language model optimization. It describes the same work as GEO, AEO and LLM SEO, and the proliferation of names is a marketing artefact rather than four disciplines. ## What you get - What the acronym means, in one paragraph - How it differs from GEO, AEO and LLM SEO, which is barely - The four requirements all four names share - A free scan that tells you which one you are failing ## What LLMO means LLMO is large language model optimization: making a website that language models can retrieve, afford to read, and use correctly. It is the newest of four acronyms competing to name the same activity, and it arrived because the earlier ones were already attached to somebody’s product. | Acronym | Stands for | What it emphasises | | --- | --- | --- | | LLMO | Large language model optimization | The model as the reader | | GEO | Generative engine optimization | The generated output | | AEO | Answer engine optimization | Being the source of an answer | | LLM SEO | LLM search engine optimization | The continuity with SEO | They prescribe the same fixes in the same order. If a proposal treats them as four workstreams with four budgets, that is a pricing decision wearing a taxonomy costume. > **The one distinction that is real** None of these four is the same as optimising a model itself. Quantisation, distillation and inference cost are also called LLM optimization by machine-learning engineers, and that is genuinely unrelated to anything on this page. ## The job all four names describe Four requirements, in order, because a failure early makes everything after it irrelevant. Most sites fail one of the first two and have never been told. 1. **The fetch is allowed.** A `robots.txt` line or a CDN bot rule ends it silently, with no error logged on your side. 2. **The response parses without a browser.** Facts that appear only after JavaScript runs are absent from what the model receives. 3. **The facts are cheap to reach.** Models read under a token budget, so a first fact buried behind markup may be dropped for a shorter source. 4. **The facts agree with themselves.** When your prose and your structured data differ, the model picks one and you do not choose which. The measured effect of fixing the third is on the record twice, and the two captures are quoted separately because a product page and a services page carry different amounts of chrome. A product page went from 91,226 bytes to 1,315; a services page from 13,581 to 1,412. The facts were unchanged in both. ## Which page you actually want Rather than restate the method four times under four names, here is the routing. Each of these covers the same underlying work from the angle its readers arrive with. - **You want the method, in depth.** [LLM optimization](/solutions/llm-optimization) has the token arithmetic and the serving change. - **You already do SEO.** [LLM SEO](/learn/llm-seo) covers what transfers, what stops counting, and what to stop doing. - **You are comparing GEO to SEO.** [GEO vs SEO](/learn/geo-vs-seo) takes that comparison apart properly. - **You want the definition of AEO.** [What is AEO](/solutions/what-is-aeo) does the same job this page does, for that acronym. - **You just want to know if you have a problem.** [Scan a URL](/scan). Free, no account, about a minute. ## What this does not do - It cannot make an assistant mention you. Assistants are not deterministic and no vendor controls their output, so a guaranteed citation is not a thing anyone can sell. - It does not change what Google sees. Content negotiation returns the same substance in another format, and search crawlers keep receiving canonical HTML. - It is not model optimisation. Nothing here quantises, distills or fine-tunes anything; that is the other meaning of the phrase and it is unrelated. - It is not a fifth discipline, and we will not sell it as one. LLMO, GEO, AEO and LLM SEO name one job, and a separate budget line for each is a billing structure rather than a strategy. ## What is LLMO? Large language model optimization: making a website that language models can retrieve, afford to read and use correctly. It describes the same work as GEO, AEO and LLM SEO. ## What is the difference between LLMO and GEO? Emphasis, not substance. LLMO names the model as the reader and GEO names the generated output, but they prescribe the same fixes in the same order. Treat them as one workstream rather than buying two. ## Is LLMO the same as SEO? It builds on it. Crawlability, fast responses and accurate structured data all still count. What changes is that the reader is a parser on a token budget, so layout stops helping, client-rendered content stops existing, and markup size works against you. ## Do I need an LLMO agency? Not for the technical half, which is middleware most teams ship in an afternoon with free, self-hostable tooling. Hire for sustained writing that answers the questions your buyers actually ask, which is the part that genuinely recurs. ## Is LLMO about optimising the model or the website? The website, in a marketing context. Machine-learning engineers use "LLM optimization" for quantisation, distillation and inference cost, which is a completely different activity that happens to share the phrase. ## Related - [LLM optimization: the method](https://rebilder.com/solutions/llm-optimization) - [LLM SEO: what transfers from SEO](https://rebilder.com/learn/llm-seo) - [What is GEO?](https://rebilder.com/solutions/what-is-geo) - [What is AEO?](https://rebilder.com/solutions/what-is-aeo) - [LLM visibility](https://rebilder.com/solutions/llm-visibility) - [Scan any URL free](https://rebilder.com/scan)