Guide

LLM SEO: how to get named by ChatGPT, Gemini and Perplexity

LLM SEO is SEO for large language models: the work of getting ChatGPT, Gemini, Perplexity and other assistants to name your brand, describe it correctly and link to you. It builds on normal SEO — pages that can be crawled and indexed. Then it adds two jobs: being described well across the web and checking what the models actually say.

What is LLM SEO?

LLM SEO, also called SEO for LLMs or LLM search optimization, is the practical side of AI visibility. It is the checklist you work through so that assistants use your brand in their answers. The goal is the same as in generative engine optimization — the name simply starts from SEO instead of from research.

A note on words. “LLM optimization” also means making models run faster or cheaper, a developer topic about inference and fine-tuning. This page is about the marketing meaning: how a model talks about your brand.

How LLMs decide which brands to name

A large language model answers from a mix of memory and lookup. Its memory is the training data — a snapshot of the web that shaped what it “knows” about your category. The lookup happens when the assistant searches the web, reads a handful of pages and writes its answer from them.

Questions about prices, current products or this year's best options are more likely to need fresh information than a general definition. So for LLM SEO you have two jobs. Make the pages a searching assistant would read reachable and clear, and make sure the wider web describes you the way you want the next model to learn it.

Let AI crawlers in

Each AI company runs its own crawlers, and several separate search from training. You can decide, crawler by crawler, whether you want to appear in answers, feed future models, or both. Check robots.txt and also your CDN or firewall rules, which can block these bots without anyone noticing.

Five user agents cover ChatGPT, Perplexity and Gemini. Look for them by name:

  • OAI-SearchBot — OpenAI uses it to surface websites in ChatGPT's search features. OpenAI's crawler documentation says sites that opt out will not be shown in ChatGPT search answers, and that robots.txt changes can take about 24 hours to take effect for search.
  • GPTBot — crawls content that may be used to train OpenAI's foundation models. OpenAI says each setting is independent, so you can allow OAI-SearchBot and still disallow GPTBot.
  • ChatGPT-User — visits a page when a ChatGPT user's request calls for it, rather than crawling on a schedule.
  • PerplexityBot — surfaces and links websites in Perplexity's results. Perplexity's documentation says it is not used to crawl content for AI foundation models.
  • Google-Extended — a token that controls whether content Google crawls may be used to train future Gemini models and for grounding in Gemini apps. Google says it does not affect inclusion or ranking in Google Search.

Make your pages easy to quote

Once a crawler can reach a page, the page has to be worth quoting. Assistants lift short, self-contained statements: a definition, a price range, a “best for” line, a comparison. Write those sentences on purpose, near the top of the page, in plain text.

  • Give each buyer question its own answer. “Best running shoes for flat feet” deserves a clear section, not one line on a category page.
  • Say who you are for and who you are not for. Recommendations usually come with a reason, and a clear “best for” line gives the model one.
  • Keep product facts in HTML text, not only in images, PDFs or scripts that crawlers may skip.
  • Update facts in one place and make every page reflect them. Old pricing on a forgotten page can end up in an answer.
  • Publish honest comparisons with named alternatives. Comparison questions are where assistants make recommendations.

Get described on the pages models trust

Your own site is only one voice. When an assistant answers a category question, it may draw on review sites, retailer listings, editorial roundups, forums and reference pages. Those sources also make up much of what the next model learns about you.

Start with the sources the engines already use for your questions. Perplexity lists its sources with its answers, and ChatGPT and Gemini can show theirs when they search. Get listed where you are missing, fix outdated descriptions and ask real customers for reviews on the platforms your buyers read.

ChatGPT SEO: what is different about ChatGPT

ChatGPT SEO — or SEO for ChatGPT — is LLM SEO aimed at one engine. ChatGPT answers some questions from what the model already knows and searches the web for others, and when it searches, it shows its sources. That gives you two levers: the pages it can find today and the reputation the next model will learn.

The technical part is short. Allow OAI-SearchBot, keep your pages indexable in regular search engines and put key facts in text. The content part is the same as for any assistant, but test it on ChatGPT itself — its brand list for a question can differ from what Gemini or Perplexity say.

People often ask how to check their “ChatGPT ranking”. There is no fixed ranking to check, because the brands named and their order can change between runs. What you can measure is how often you appear, how often you are recommended and where you tend to sit among the brands named.

Gemini, Perplexity and other engines

The basics carry across engines, but each has a detail worth knowing. None of them replaces the others, so plan to check each one separately.

  • Gemini — Google-Extended decides whether Google may use your content for Gemini training and grounding, while your Google Search indexing stays unaffected.
  • Perplexity — it shows sources next to its answers, which makes it the quickest place to see which pages shape your category.
  • Google AI Overviews and AI Mode — Google says standard SEO is enough to be eligible. The practical steps are in how to rank in AI Overviews.
  • Microsoft Copilot — citations of your pages in Copilot and Bing's AI summaries appear in the AI Performance report in Bing Webmaster Tools.
  • Claude — worth checking too if your buyers use it. Like Copilot, it can be added to the Llamat report as a paid add-on.

LLM SEO, GEO and AEO

LLM SEO, generative engine optimization and answer engine optimization describe one goal. GEO is the umbrella term from research, AEO grew out of featured snippets, and LLM SEO is the name SEO teams give the checklist. The practical differences are small, and AEO vs GEO goes through the ones that matter.

Measure before and after

You cannot see a model's answer to your buyer unless you ask the same question yourself. Pick the category questions that matter, run each one on each engine more than once and record whether you are mentioned, recommended and cited. Then repeat after your changes, with the same questions.

The free AI visibility checker does the first round for you: up to 20 questions on ChatGPT, Gemini and Perplexity, with the competitors named instead of you, in one e-mail report. Google AI Overviews, Google AI Mode, Claude and Microsoft Copilot can be added as paid add-ons, and repeated monitoring is available on request.

Checklist

LLM SEO in seven steps

  1. 1

    Check crawler access

    Open robots.txt and your CDN or firewall settings. Allow OAI-SearchBot and PerplexityBot, and decide on GPTBot and Google-Extended as a separate training question.

  2. 2

    Confirm your key pages are indexed

    Look up your most important pages in Google Search Console and Bing Webmaster Tools. Google's AI features only use pages that are indexed and eligible for a snippet.

  3. 3

    Write the answer sentences

    On each key page, add a one-line description, a “best for” line and the facts buyers ask about — in plain text, near the top.

  4. 4

    Publish comparison pages

    Compare yourself with the alternatives buyers actually consider, and say honestly where each one fits better.

  5. 5

    Fix what the models get wrong

    Ask the assistants about your product category. Where an answer uses outdated or wrong facts about you, find the source page and get it corrected.

  6. 6

    Grow third-party coverage

    Get reviewed, listed and mentioned on the sites the engines cite for your questions. A few accurate reviews on sites buyers trust do more than pages nobody reads.

  7. 7

    Measure and repeat

    Run the same questions again after a few weeks and compare engine by engine. If you need this on a schedule, compare AI visibility tools.

FAQ

Frequently asked questions

Is LLM SEO different from GEO?

Only in emphasis. GEO is the broader term for getting into AI-written answers, while LLM SEO usually means the hands-on checklist SEO specialists work through. The tactics and the measurement are the same.

Can I rank number one in ChatGPT?

Not in the way you rank on Google. ChatGPT has no fixed list for a question, and the brands it names can change between runs. You can raise how often you are named and recommended, and how early you tend to appear.

Should I block GPTBot?

It depends on whether you want your content used to train OpenAI's models. GPTBot is for training, while OAI-SearchBot is what puts sites into ChatGPT search answers. OpenAI treats the two settings independently, so you can block one and allow the other.

How do I see what ChatGPT says about my brand?

Ask it the questions your buyers ask, not your brand name, and ask each one more than once. Note which brands it names, which it recommends and which sources it links. A report that runs a fixed set of questions across several engines saves you doing this by hand.

Does LLM SEO help with Google AI Overviews?

Mostly, yes. Google says pages need no special optimization for AI Overviews beyond being indexed and eligible for a snippet, so the same clear, crawlable pages serve both. Google AI Overviews is not part of the free Llamat report, but it can be added as a paid add-on.

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