Glossary · Foundations
LLM SEO
Optimizing your content and brand so large language models surface and recommend you — SEO aimed at ChatGPT, Gemini and Claude rather than Google's link list.
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LLM SEO is the work of optimizing your content and brand so large language models — ChatGPT, Gemini, Claude and the assistants built on them — surface and recommend you. It’s search optimization aimed at the models themselves, rather than at Google’s list of blue links.
What LLM SEO means
When a buyer asks an AI assistant “what’s the best tool for X?”, the model replies with a short recommendation that usually names two or three brands. LLM SEO is everything you do to make sure your brand is one of those names, and one of the sources the model leans on to justify it.
The phrase is the informal, search-friendly cousin of two more precise terms: Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). People search for “LLM SEO” because it says plainly what it’s about — SEO, but for LLMs. Treat the three as near-synonyms.
What it is not
There’s a common mix-up worth clearing up. “LLM SEO” here means optimizing so that LLMs recommend you. It is not the same as using an LLM to do your SEO — writing meta descriptions or drafting posts with an AI tool. Both are real activities, but they point in opposite directions: one markets to the model, the other uses the model as a labor-saving tool.
The levers that move it
The tactics overlap with good SEO but tilt toward being quotable and credible to a model rather than merely rankable:
- Be a clear, quotable source. Answer the question directly, in self-contained sentences a model can lift without the rest of the page.
- Keep entity signals consistent. Your name, category and claims should line up across your site, review platforms and third-party mentions so the model resolves you as one coherent brand.
- Show up where models look. The sources they trust — reviews (G2, Capterra), communities (Reddit), documentation and reputable press — carry real weight in what they repeat.
- Stay machine-readable. Clean structure and crawlable content so the bots that feed the models can actually read and attribute you.
How it fits your existing search work
LLM SEO doesn’t replace classic SEO — the fundamentals of clear, credible, well-structured content are exactly what make a page usable to a language model, and Google’s own results are increasingly AI-generated anyway. The useful shift is in what you measure. Rankings and clicks still matter, but you now also need to know whether the models mention you, what they say, and which sources they cite when they do — which is the gap tools like PageLens exist to close.
Frequently asked
- Is LLM SEO the same as AEO or GEO?
- For practical purposes, yes — they describe the same goal from different angles. AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are the terms the industry and research use; "LLM SEO" is the informal, search-friendly phrasing that names the models directly. All three are about earning visibility inside AI-generated answers rather than ranking a link.
- How do I actually do LLM SEO?
- Be a clear, credible, quotable source on the questions your buyers ask; keep your entity signals consistent across your site, review platforms and communities; and make sure you show up in the third-party sources models already trust. There is no keyword to stuff — the work is being genuinely worth citing and being readable to the crawlers that feed the models.
- Does LLM SEO replace Google SEO?
- No. It sits alongside it. Classic SEO fundamentals — clear structure, credibility, crawlability — are also what makes content usable to language models, and Google's own results are increasingly AI-generated. LLM SEO extends your search strategy to a new set of surfaces rather than retiring the old one.