LLM OptimizationLLMO

What LLMO means

A large language model doesn’t return a ranked list of links; it generates an answer, often naming a few brands and drawing on a handful of sources. LLMO is the practice of making sure your brand is one of those names — that when the model weighs what it knows and what it can retrieve, your content is credible and quotable enough to be part of the response.

Another name for the same practice

It’s worth saying plainly: LLMO is essentially a synonym for GEO, AEO and “LLM SEO.” The field is new and its vocabulary hasn’t converged, so several competing acronyms all point at the same emerging goal — being surfaced and recommended by AI. LLMO is simply the label that keeps the large language model front and center.

What actually moves it

Because it’s the same practice, the levers are the same too. To get a large language model to recommend you, be:

• Clear.Answer real questions directly, so the model can understand and reuse what you’ve written.
• Credible. Build authority that holds up across your site and third-party sources the models trust.
• Quotable. Write self-contained passages a model can lift without needing the rest of the page.
• Retrievable. Stay crawlable and cleanly structured so the model can actually fetch you when it grounds an answer.
• Consistent as an entity. Keep your brand, products and people described the same way everywhere, so the model resolves who you are.

How you measure it

You can’t manage what you can’t see. LLMO becomes tractable once you prompt the major models with the questions your buyers actually ask and track whether you’re surfaced, what the models say about you, which sources they lean on, and how your share of the recommendation compares to competitors.