LLMO is the work on a brand's visibility and accuracy in products built on large language models. It tracks mentions, descriptions, citations and links.
What is LLMO?
An AI assistant's answer can come from training knowledge, web search, RAG or another tool. Each layer updates differently, so each needs different expectations.
Changing your site won't retrain a model overnight. It can help systems that search the web right now, and it creates more consistent public sources for future processing.
How LLMO is built
The foundation is an accessible site, a consistent entity, verifiable profiles, good mentions and original content. Remove contradictions in names, roles, prices and other facts.
Measure the result with a stable set of queries across models. Record the mention, the source, the accuracy and the test conditions, because the answers can change.
LLMO, GEO and AEO
The boundaries between these acronyms aren't settled. LLMO stresses how a model perceives the brand, GEO generative answers and AEO direct answer engines.
In practice the work overlaps with technical, semantic and reputation SEO. The acronym should help name a goal. It's no secret technique.