What is Large Language Model Optimization (LLMO)?

LLMO describes optimizing for how large language models know, classify and describe a brand.

Definition

Large Language Model Optimization covers measures that influence what a language model “knows” about a brand and how it describes it. The term is often used interchangeably with GEO, but puts the emphasis on the model itself rather than on the search interface.

Two ways a model learns about you

First, training knowledge: language models learn from large volumes of text with a cutoff date. Whatever was written about your brand on the web frequently and consistently up to that point shapes the model's baseline knowledge – and only changes with the next model generation. Second, web search: modern assistants research current questions live and base their answer on the pages they find. This route responds to your actions much faster.

What you can influence

Consistency: same name, same description, same facts on all platforms
Entities: structured data, entries in directories and knowledge bases
Context: mentions alongside the topics you want to stand for
Accessibility: allow AI crawlers, deliver content in the HTML
Accuracy: track down wrong or outdated information about your brand and correct it at the source

Checking your LLMO

Whether a model knows your brand and describes it correctly can only be established by questioning it systematically. To do this, KI.SO puts realistic customer questions to several models, shows the sentiment and context of every mention and checks the AI's statements against the brand data you have on file – so wrong information stands out.

Frequently asked questions

LLMO, GEO, AEO – which term should I use?

In everyday use the terms are interchangeable. GEO has caught on the most, AEO emphasizes the answer format, LLMO the language model itself.

Can I change a model's training knowledge?

Not directly. You only influence what will be written about your brand on the web in the future – and with it the material for upcoming model generations and for live web search.

What should I do if the AI claims something false about my brand?

Look for the source of the false information – usually an outdated listing or article – and have it corrected. Add a clear, quotable statement on the matter to your own website.