LLMO stands for Large Language Model Optimisation. People use it for work that helps AI assistants such as ChatGPT, Gemini and Claude know your business, describe it accurately and mention it. A large language model (LLM) is the technology behind those assistants; see large language model. No official body defines the term.
In its guide to generative AI features, Google only names GEO and AEO, and writes that optimising for generative AI search is still SEO.
Why does it matter?
If you read a proposal or article that mentions LLMO, GEO and AIO, you might think these are three kinds of work. Usually it is the same work under a different name. It helps to ask which tasks the term actually covers.
Example
An AI assistant can know something about your business in two ways. From the training data of the language model, up to its knowledge cutoff. Or because it searches live and fetches your page. Work that falls under LLMO touches both: clear and consistent information about your business on the web, and pages that AI providers’ search bots may fetch and can read.
Common mistake
Treating LLMO as a separate project alongside SEO and GEO. A sound technical foundation, clear answers to customer questions and accurate business information serve all three.
More on the differences in SEO, GEO and AEO: what is the difference? and under GEO.