LLM SEO: How to Get Cited Inside Large Language Models

LLM SEO is the practice of getting your business referenced by large language models like ChatGPT, Gemini, and Claude when they answer a buyer’s question. It is the same goal as generative engine optimization, framed around the models themselves.

How an LLM decides who to mention

Models surface your brand two ways. First, through what they learned in training, which favors brands with a large, consistent footprint across the web. Second, through live retrieval, where the model searches the web in real time and cites the clearest, most credible sources it finds.

You influence both. Footprint and entity authority drive the training side. Clean, citable, well-structured pages drive the retrieval side.

What moves LLM visibility

• Entity authority. Be mentioned consistently and credibly across the web, not just on your own site.
• Citable structure. Answer-first content the model can quote without rewriting. This is answer engine optimization.
• Technical access. Schema and llms.txt so retrieval can read you.
• Specificity. Real numbers and named proof. Models trust and quote concrete claims.

LLM SEO is one workstream in a full AI search program. See how it fits with the rest of our AI SEO services.