LLMO (large language model optimization)

LLMO is the work of getting your brand and your facts into what a large language model says when someone asks it a question. The target is the model and the sources it pulls from, not a page of ranked links, so a win looks like being named, paraphrased or linked inside an answer. The neighbouring labels overlap heavily: GEO usually describes generative search surfaces, AEO comes from the older answer box and voice world, and LLMO points at the assistants themselves. Providers use all three loosely. For a buyer that matters, because two courses carrying the same acronym on the sales page can teach very different material. Read the module list for retrieval mechanics and citation tracking before you read the title, and check whether the course covers measurement or stops at writing advice. In this directory the closest measured signal is the LLM citations flag: 37 of 44 programs teach it (4 unverified) (checked 18 September 2026).

Example

A payroll software company asks an assistant which tools suit small teams and sees competitors named every time. The team rewrites its pricing page so each plan has a plain, quotable answer, then gets the product covered in independent roundups that the assistant already draws on. A month later the same prompt names the brand and links the page.