Because LLMs learn patterns from enormous text collections, they can summarize, explain and answer questions in natural language rather than returning a list of links. For anyone doing SEO or AEO, this matters: these models increasingly decide what gets surfaced and cited when someone asks a question. Understanding how LLMs read and reuse content helps you make your pages easier for them to quote accurately.
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For the full playbook, see AI Search Visibility. Back to the SEO & AEO glossary.
FAQ
What does an LLM actually do?
An LLM takes a text prompt and generates a likely continuation, having learned language patterns from huge amounts of training text. This lets it answer questions, summarize, translate and write in natural language. Answer engines like ChatGPT and Gemini use LLMs to compose responses instead of only returning links.
Why do LLMs matter for SEO and AEO?
LLMs increasingly sit between your content and your audience, deciding what to surface and cite when people ask questions. If a model can easily read and trust your pages, it is more likely to quote them in its answers. Optimizing for that is the core of AEO and GEO.
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