Ai Search
LLMO (Large Language Model Optimisation)
LLMO is an emerging term for optimising content and brand presence to appear in responses generated by large language models. Used interchangeably with GEO and AEO, all three describe the same core goal: ensuring your content is selected, cited, and accurately represented by AI systems.
Why LLMO (Large Language Model Optimisation) Matters for SEO
As LLMs become a dominant search interface, optimising for them is as important as optimising for Google. LLMO is not a replacement for SEO — AI systems still draw on SEO signals to evaluate sources. Tracking performance requires new metrics like Share of Model and citation frequency.
How LLMO (Large Language Model Optimisation) Works
GEO is the broad umbrella for all generative AI platform optimisation. AEO is specific to answer-format content. LLMO focuses on LLM-specific behaviour — training data, model knowledge, and retrieval patterns. In practice, strong SEO, E-E-A-T, and entity clarity serve all three.
Common Mistakes
- Getting caught up in terminology differences between GEO, AEO, and LLMO instead of doing the work
- Not tracking how LLMs reference your brand across different platforms
- Treating LLM optimisation as entirely separate from traditional SEO