LLM Optimization (LLMO)

What is LLM Optimization (LLMO)?

LLM optimization (LLMO) is the work of making sure large language models represent your brand accurately and favorably. It covers the content models learn from, the pages they retrieve at answer time, and the technical access their crawlers have. The goal is for assistants to know what you do, describe it correctly and recommend you for the right use cases.

How it works

An LLM’s view of a brand comes from two places:

Source	What influences it	How fast it changes
Training data	Consistent descriptions across the web over time	Slow, at new model versions
Live retrieval	Pages the engine finds and cites today	Fast, as content and rankings change

LLMO works on both. For training data, it focuses on consistent positioning across your site, documentation, reviews, directories, analyst coverage and community discussions. For retrieval, it applies AEO and GEO practices: crawlable pages, direct answers and clear entities.

Examples

• A B2B SaaS company finds that assistants call it a “monitoring tool” when it now sells a full platform. It updates its homepage, About page, directory listings and social profiles with the same one-line description.
• A cybersecurity vendor publishes a clear page listing its certifications after an assistant wrongly says it lacks SOC 2.
• A DevTools team adds llms.txt and keeps its docs public so coding assistants describe its API correctly.

LLMO is a long-term effort. Retrieval-based answers can improve within weeks of better content, while training-data answers may lag until the next model release, so teams track both and set expectations accordingly.

How to apply it

1. Audit how major assistants describe your brand, products, pricing model and competitors.
2. Write a canonical brand description and use it consistently everywhere.
3. Fix factual errors at the source, on your site and on third-party pages.
4. Allow reputable AI crawlers to access public content.
5. Re-check answers after model updates.

Related terms

• Large Language Model (LLM)
• Generative Engine Optimization (GEO)
• Entity Optimization
• AI Hallucination
• llms.txt