LLM SEO: how to rank in ChatGPT, Claude and Perplexity
LLM SEO is how you get large language models to cite and recommend your brand. Learn what it is, how it differs from SEO, and the playbook to win AI citations.
LLM SEO is optimizing your content and presence so large language models (ChatGPT, Claude, Gemini, Perplexity) cite and recommend your brand in their answers. It is the same discipline as GEO and AEO. Unlike SEO, which wins a ranking in a list of links, LLM SEO wins a citation inside a single answer, rewarding extractable content, schema, entity clarity and source authority.
- LLM SEO is optimizing so large language models cite and recommend your brand in their answers. It is the same work as GEO and AEO under a different name.
- It differs from traditional SEO: SEO wins a ranking in a list of links; LLM SEO wins a citation inside a single synthesized answer.
- The playbook is extractable, declarative content, schema and structured data, clear entity signals, and authority on the sources models cite (G2, Reddit, comparison pages).
- An LLM SEO tool measures your citations across every model, shows the sources behind each answer, and helps you do the work to win more.
- You measure LLM SEO by citation rate and share of voice across engines, not by keyword rankings.
LLM SEO is the practice of optimizing your content and online presence so large language models like ChatGPT, Claude, Gemini and Perplexity cite and recommend your brand in their answers. It is the same discipline that also goes by GEO (generative engine optimization) and AEO (answer engine optimization). The name is new; the shift behind it is that buyers now ask an AI a question and take the answer, instead of scrolling a page of links.
This guide covers what LLM SEO is, how it differs from traditional SEO, the exact playbook to win citations, what an LLM SEO tool does, and how to measure results.
What LLM SEO actually means#
The old game was ranking: earn a high position in a list of ten links and win the click. The new game is citation: be one of the two or three brands a model names inside a single synthesized answer.
LLM SEO, GEO and AEO all describe the same work. If you have seen the terms used interchangeably, that is correct. LLM SEO emphasizes the model (the large language model doing the answering); GEO emphasizes the generative output; AEO emphasizes the answer to a question. The tactics are the same, so pick the label your team uses and move on.
![The same question, 'what is the best [category] tool?', answered twice. Before the AEO work: the assistant recommends Competitor A (cited from G2) and Competitor B (praised on Reddit), and your brand is not mentioned. After the work: the assistant names Competitor A, Competitor B and your brand, now cited from a comparison guide.](/figures/llm-seo-outcome.png)
How LLM SEO differs from traditional SEO#
They share a foundation, but they reward different things, and optimizing only for one can leave you invisible on the other.
Traditional SEO rewards keyword relevance, backlinks, technical crawlability, and a track record of rankings and clicks. The unit of success is a position for a query.
LLM SEO rewards content a model can extract and quote, structured data that labels what is an answer to what, clear entity signals, freshness, and authority on the third-party sources models actually cite. The unit of success is a citation in an answer.
The LLM SEO playbook#
Whichever engine you are targeting, the work comes down to four moves. Do these and you improve across every model at once.
Write content a model can lift. Lead with the answer, use specific numbers and named entities, and write self-contained statements a model can quote without rewriting. Add structured data. FAQPage, Article and entity schema that labels what is an answer to what. Sharpen your entity signals so the model knows exactly who you are and what you do. Earn authority on the sources models cite: review grids like G2, community threads like Reddit, and comparison pages.
This is also the honest answer to “how do I rank on ChatGPT.” You do not rank; you earn a citation by being the clearest, most credible source on the questions your buyers ask.
What an LLM SEO tool does#
You cannot improve what you cannot measure, and checking answers by hand does not scale. An LLM SEO tool measures how often every model cites you, shows the sources behind each answer, and helps you do the work to win more. The four jobs worth paying for: measure citations and share of voice, cover every engine daily, name the sources shaping each answer, and help ship the on-page and off-page work, not just watch.
For a full breakdown of what to look for, see our guide to generative engine optimization tools, or the honest roundup of the best GEO and LLM SEO tools.
How to measure LLM SEO#
Rankings and clicks do not tell you whether a model recommends you. Three metrics do:
- Citation rate. How often a model names you across the prompts your buyers ask.
- Share of voice. Your citations measured against the competitors cited in the same answers.
- Sources cited. Which domains each model pulls from, and whether any are yours.
Track these across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews, watch the trend week to week, and unify them with your Search Console and Analytics data so you can tie AI visibility to pipeline.
LLM SEO is not a new trick bolted onto search. It is the discipline of being the clearest, most credible source on your buyers’ questions, measured by whether the model names you. To see where you stand, run a free AI visibility audit and get your citation rate and share of voice across every major model. For the deeper definitions, read what generative engine optimization is and what answer engine optimization is, or see how the AI surface compares to classic search in GEO vs SEO.
- What is LLM SEO?
- Is LLM SEO the same as SEO?
- What is an LLM SEO tool?
- How do I rank on ChatGPT?
- How do you measure LLM SEO?
Frequently asked questions
What is LLM SEO?
LLM SEO (large language model SEO) is the practice of optimizing your content and online presence so large language models like ChatGPT, Claude, Gemini and Perplexity cite and recommend your brand in the answers they generate. It is the same discipline that is also called GEO (generative engine optimization) and AEO (answer engine optimization). The goal is to be named inside an AI answer, not to rank in a list of links.
Is LLM SEO the same as SEO?
No. Traditional SEO optimizes for a ranking position in a list of blue links, where the user still clicks and decides. LLM SEO optimizes for being cited inside a single synthesized AI answer, where the model has already made a recommendation. They share a foundation (crawlable, authoritative, well-structured content), but LLM SEO adds requirements SEO does not reward directly: extractable declarative writing, schema, entity clarity, and authority on the third-party sources models cite.
What is an LLM SEO tool?
An LLM SEO tool measures how often large language models cite your brand across every engine (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Copilot), scores your share of voice against named competitors, shows the exact sources behind each answer, and helps you do the on-page and off-page work to win more citations. The best ones close the loop between measurement and execution rather than stopping at a dashboard. Visibly is one such tool.
How do I rank on ChatGPT?
You do not rank on ChatGPT the way you rank on Google; you earn a citation. Write answer-first, declarative content a model can lift as a clean claim; add FAQPage and Article schema; sharpen your entity signals so the model knows who you are; and earn presence on the third-party sources ChatGPT reads, like G2, Reddit and comparison pages. Then measure your citation rate and close the gaps where competitors are named and you are not.
How do you measure LLM SEO?
You measure LLM SEO with citation rate (how often a model names you), share of voice (how you compare to competitors cited in the same answers), and the source domains each model cites, tracked across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews. These replace keyword rankings and clicks as the metrics that matter. A platform like Visibly tracks all of this daily and unifies it with your Search Console and Analytics data.