LLM SEO: show up where the models look.
Large language models are the engine behind ChatGPT, Gemini and the rest. LLM SEO optimizes for how those models retrieve and trust information, so your brand surfaces in their answers.
What is LLM SEO?
LLM SEO is the practice of optimizing your content and brand for large language models, the systems behind tools like ChatGPT, Claude, Gemini and Perplexity. It overlaps heavily with GEO and AEO, but frames the problem from the model’s side: how it retrieves, weighs and trusts sources when generating an answer.
In practice that means being clear, well-structured, well-evidenced and consistently referenced, the qualities models reward, plus a strong, unambiguous entity the model can attach knowledge to. Whether a model draws on live retrieval or its trained knowledge, the fundamentals that make you citable are the same.
Retrieval, trust, entity.
Retrieval-friendly content
Clean, self-contained passages a model can pull and use without ambiguity.
Trust signals
Sources, data and specificity that make your content safe for a model to rely on.
Strong brand entity
An unambiguous entity the model can associate facts and authority with.
Cross-web presence
Being referenced widely enough that models treat you as an established source.
Machine-readable structure
Schema and clear formatting that help models parse meaning correctly.
Model visibility tracking
Testing how the major models represent and cite your brand, then improving it.
Questions, answered.
What is LLM SEO? +
LLM SEO optimizes your content and brand for large language models, the systems behind ChatGPT, Gemini, Claude and Perplexity, so they retrieve, trust and cite you when generating answers. It overlaps with GEO and AEO but frames the work from the model’s perspective.
Is LLM SEO different from GEO? +
They are closely related. GEO is the umbrella for optimizing across generative engines; LLM SEO emphasises the underlying models specifically. In practice the levers, clarity, evidence, entity strength and cross-web consensus, are shared, and we run them as one strategy.
Can you influence what a model ‘knows’ about us? +
You cannot rewrite a model’s training, but you can strongly influence what it retrieves and how it represents you: by being clear, well-evidenced, consistently referenced and an unambiguous entity across the web.
Optimize for the models, not just the results.
A free audit of how the major AI models represent your brand today, and how to improve it.