Core concepts
LLM SEO
Also: LLMO, large language model optimization
LLM SEO is optimising for large language models rather than for search result pages. It covers everything that shapes what a model says about a brand: retrievable facts, trusted third-party sources, and clearly written pages.
In more detail
It is another name for the same discipline as AEO and GEO. The label is useful mainly because it makes the mechanism explicit — the thing being optimised for is a model producing text, not an index producing a ranked list.
Guides that cover this
Related terms
Answer engine optimization
Answer engine optimization is the practice of getting your brand named and cited when AI assistants answer questions. Where SEO works to rank a page in a list of links, AEO works to be the recommendation inside the answer itself.
Generative engine optimization
Generative engine optimization is the practice of improving how generative AI systems describe and recommend a brand. It is used interchangeably with answer engine optimization, with GEO emphasising the generated text and AEO the answer it forms.
Large language model
A large language model is a system trained on very large amounts of text to predict and generate language. It is the component that writes an answer engine's response, drawing on what it learned in training plus anything retrieved at the moment of asking.
Training data
Training data is the body of text a model learned from. It sets the model's default understanding of a category and which brands it associates with what, before any live retrieval happens.
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