What is LLM Optimization (LLMO)?
LLM Optimization (LLMO) is the practice of shaping how large language models represent your brand, so that when a model answers a question in your category, it describes you accurately and includes you among its recommendations. It is a near-synonym for generative engine optimization, framed around the model itself.
How LLMO relates to GEO and AEO
LLMO, GEO, and AEO describe overlapping work with different emphasis. GEO centers on generative engines as a whole, AEO on answer engines that return a single response, and LLMO on the language models underneath. In practice teams use them interchangeably to mean: get the model to describe and recommend you correctly.
What LLMO involves
- Publishing clear, structured, crawlable facts about your brand
- Earning consistent mentions across the sources models trust
- Correcting inaccurate claims models repeat about you
- Monitoring how answers change as models are updated