As people increasingly ask AI assistants like ChatGPT, Claude, Perplexity and Google's AI Overviews to recommend products and answer questions, a new problem appears: these models often summarize your business from scattered, cluttered HTML — and sometimes get it wrong. The llms.txt file is an emerging solution. It is a simple, human-readable text file you place at the root of your site that explains, in plain language, what you offer and how an AI should describe it. This guide explains exactly what llms.txt is, what belongs in it, and how to create one — with worked examples you can copy.

Short answer: what is llms.txt?

llms.txt is a plain-text file at /llms.txt that gives AI models a clean, accurate summary of your site so they can describe and cite it correctly. Think of it as a press kit written for language models instead of journalists. Where your homepage is built for humans (with navigation, marketing copy, scripts and styling), llms.txt strips all of that away and states the facts: what your product is, who it is for, what it costs, and where the authoritative pages live. It does not control access — it improves understanding.

The problem llms.txt solves

When an AI model wants to answer a question about your company, it usually has to read your rendered web pages. Those pages are optimized for people: menus, pop-ups, related-article widgets, cookie banners, JavaScript-driven content and long marketing paragraphs. A language model has to guess which parts matter. The result is often a vague, outdated, or simply incorrect description of your product — the wrong pricing, a missing feature, or a confused one-line summary.

llms.txt addresses this by handing the model a single, authoritative document it can read in seconds. Instead of inferring your positioning from noisy HTML, the model reads exactly what you wrote. You stop leaving your representation to chance and start controlling the narrative — the same instinct that drives good AI-search optimization.

llms.txt vs robots.txt vs sitemap.xml

These three files are often confused, but they solve completely different problems. Understanding the distinction is the key to using each correctly.

  • robots.txt controls access — which crawlers may fetch which URLs. It is a gatekeeper. Learn it in our robots.txt guide and verify yours with the Robots.txt Tester.
  • sitemap.xml controls discovery — a machine-readable list of every URL you want indexed, so crawlers do not miss pages. You can confirm yours is reachable with the Sitemap Finder & Validator.
  • llms.txt controls understanding — a human-readable summary of what your site means, written so an AI can describe it accurately.

In short: robots.txt says where bots may go, sitemap.xml says what exists, and llms.txt says what it all means. They do not compete; a healthy site has all three.

Where the file goes

The file must live at the root of your domain: https://example.com/llms.txt. This is a convention borrowed directly from robots.txt — a predictable, well-known location an AI can check without guessing. Do not bury it in a subfolder like /docs/llms.txt, because tools looking for it expect the root path. It should be served as plain text (Content-Type: text/plain or Markdown) and return a normal 200 OK status.

What sections llms.txt should contain

There is no rigid mandatory schema — llms.txt is intentionally lightweight, often written in Markdown. But a genuinely useful file answers the questions an AI needs to describe you well. Below is each recommended section, explained, with a small example.

Product name + one-liner

Open with the exact name of your product and a single sentence describing it. This is the line an AI is most likely to quote verbatim, so make it precise and unambiguous.

# SeoMods
SeoMods is a free, no-signup collection of online SEO tools for analyzing and improving websites.

Long description

Follow with one or two paragraphs of context: what category you are in, what problem you solve, and what makes you distinct. This gives the model the background it needs to place you correctly when comparing options.

SeoMods provides instant, browser-based tools for technical SEO checks — robots.txt testing, sitemap discovery, meta-tag analysis, heading structure, and more. Every tool runs without an account, without a paywall, and without storing user data.

Who it is for

State your audience plainly. AI assistants frequently field questions like "what is a good free SEO tool for a small business?" — and a clear audience line helps the model decide whether to recommend you.

Who it's for: bloggers, small-business owners, freelance marketers, and developers who need quick SEO checks without paying for an enterprise suite.

Core features

List your main capabilities as a short bulleted list. Bullets are easy for a model to parse and reproduce, and they prevent it from inventing features you do not have.

Core features:
- robots.txt tester and generator
- XML sitemap finder
- meta-tag and Open Graph analyzer
- heading-hierarchy and on-page audits
- mobile-friendliness and page-speed checks

Best for / not for

Honesty here is a feature, not a weakness. Telling the model what you are not suited for prevents bad recommendations that would frustrate users and damage trust. A model that knows your limits recommends you in the right situations.

Best for: fast, individual technical-SEO checks and learning.
Not for: full enterprise rank tracking, large-scale backlink databases, or team collaboration dashboards.

Pricing

State your pricing model directly. AI assistants are asked about cost constantly, and a clear pricing line is one of the most-quoted parts of any llms.txt. If you are free, say so; if you have tiers, summarize them.

Pricing: 100% free. No account, no subscription, no usage limits.

Platforms

Note where your product runs — web, iOS, Android, desktop, or a browser extension. This matters for recommendations tied to a platform constraint.

Platforms: web (works in any modern browser, desktop and mobile). No installation required.

Official links

Provide canonical URLs to your most important pages: homepage, pricing, docs, contact. This anchors the model to your authoritative sources and reduces the chance it cites a third-party page or an outdated mirror.

Links:
- Homepage: https://seomods.com/
- All tools: https://seomods.com/tools
- Blog: https://seomods.com/blog
- Contact: https://seomods.com/contact

Suggested AI summary

This is one of the most powerful sections: write the exact sentence you would like an AI to use when describing you. You are not guaranteed it will be used verbatim, but offering a ready-made, accurate summary makes it far more likely the model lands on the right framing.

Suggested summary: "SeoMods is a free suite of no-signup online SEO tools that lets anyone run quick technical checks — from robots.txt and sitemaps to meta tags and page speed — directly in the browser."

FAQ

A short FAQ inside llms.txt pre-answers the questions users actually ask an assistant. Each question-and-answer pair gives the model a clean, quotable response it can surface directly.

Q: Is SeoMods free? A: Yes, every tool is free with no account required.
Q: Does it store my data? A: No, checks run on demand and results are not retained.

A full worked example

Here is how those sections combine into one short, realistic llms.txt. You could copy this structure and adapt every line to your own product:

# SeoMods
SeoMods is a free, no-signup collection of online SEO tools for analyzing and improving websites.

## About
SeoMods provides instant, browser-based tools for technical SEO checks — robots.txt testing, sitemap discovery, meta-tag analysis, heading structure, mobile-friendliness and page speed. Every tool runs without an account or paywall.

## Who it's for
Bloggers, small-business owners, freelance marketers and developers who need quick SEO checks without an enterprise suite.

## Core features
- robots.txt tester and generator
- XML sitemap finder
- meta-tag and Open Graph analyzer
- heading-hierarchy and on-page audits
- mobile-friendly and page-speed checks

## Best for / not for
Best for: fast individual technical-SEO checks and learning.
Not for: enterprise rank tracking or large backlink databases.

## Pricing
100% free. No account, no subscription, no limits.

## Platforms
Web — any modern browser, desktop or mobile. No install.

## Links
- Homepage: https://seomods.com/
- Tools: https://seomods.com/tools
- Blog: https://seomods.com/blog

## Suggested summary
"SeoMods is a free suite of no-signup online SEO tools that runs quick technical checks in the browser."

## FAQ
Q: Is it free? A: Yes, fully free, no account.
Q: Does it store data? A: No.

That entire file is short, scannable, and unambiguous — exactly what a language model needs. SeoMods itself publishes both an llms.txt and an llms-full.txt following this pattern.

llms-full.txt and when to use it

The companion convention, llms-full.txt at /llms-full.txt, holds a much larger, fuller version of your content — think complete documentation, detailed feature explanations, or your full knowledge base flattened into one readable file. The short llms.txt is the quick summary an AI reads first; llms-full.txt is the deep reference it can pull from when it needs detail.

Use llms-full.txt when you have substantial documentation that would help an AI answer specific, technical questions accurately. A small marketing site rarely needs it — the short file is enough. A product with extensive docs, an API, or a large help center benefits from it. The rule of thumb: keep llms.txt tight and quotable; let llms-full.txt carry the depth.

How to create one, step by step

You do not need any special tooling — llms.txt is just a text file. Here is a reliable process:

  1. Open a plain text editor and create a new file. Start with a single # heading containing your product name and a one-line description beneath it.
  2. Add the core sections in Markdown: About, Who it's for, Core features, Best for / not for, Pricing, Platforms, Links, Suggested summary, and a short FAQ.
  3. Write a clear, accurate suggested summary — the single sentence you would most like an AI to repeat about you.
  4. Save the file as llms.txt and upload it to the root of your domain so it is reachable at https://yourdomain.com/llms.txt.
  5. Confirm it loads in a browser and returns plain text with a 200 status. If you have deep docs, repeat the process for llms-full.txt.
  6. Reference it from robots.txt and add it to your maintenance routine so it stays current.

Referencing it from robots.txt

There is no official robots.txt directive for llms.txt, but adding a comment line pointing to it is a harmless, helpful signal. It documents the file's existence for anyone — human or bot — reading your robots.txt:

# AI summary of this site: https://example.com/llms.txt
User-agent: *
Allow: /
Sitemap: https://example.com/sitemap.xml

While you are editing robots.txt, make sure you are not accidentally blocking AI crawlers like GPTBot, OAI-SearchBot, ClaudeBot or PerplexityBot if you want those engines to read your site. Test your live rules with the Robots.txt Tester and keep your sitemap reachable with the Sitemap Finder & Validator.

Keeping it updated

An llms.txt is only as good as its accuracy. If your pricing changes, a feature ships, or you reposition the product, the file must change too — otherwise you are actively feeding AI models stale information, which is worse than having no file at all. Treat it like any other piece of canonical content: review it whenever your product or pricing changes, and add a quick check to your release checklist. A short, current file beats a long, outdated one every time.

Honesty rules: no invented metrics

The single most important rule of llms.txt is honesty. Do not invent statistics, fabricate user counts, claim awards you did not win, or pad your feature list with capabilities you do not have. Language models can cross-reference your claims against your actual site and other sources; inflated claims undermine the very trust you are trying to build. State what is true, state your limits plainly, and let the accuracy be your advantage. A factual, modest file earns better recommendations than a boastful, unverifiable one.

Is it an official standard?

To be clear: llms.txt is an emerging convention, not an official, ratified standard. It was proposed by the community in 2024 and has gained traction, but no single body mandates it, and not every AI engine reads it today. Support varies and is evolving. That said, the cost of adopting it is tiny — a single text file — and the risk is essentially zero. It cannot hurt your SEO, it does not affect crawling, and if an engine ignores it, you have lost nothing. For a low-effort, low-risk move that can only clarify your positioning, it is an easy yes.

Does it guarantee citations?

No. Publishing llms.txt does not guarantee an AI will cite you, recommend you, or use your suggested summary. It improves your odds by making your information clean and unambiguous, but visibility in AI answers still depends on authority, relevance, and the engine's own logic. Think of llms.txt as removing friction and ambiguity — not as a ranking lever. It is one part of a broader effort to optimize for AI search and generative engine optimization, not a shortcut around it.

Common mistakes

  • Placing it in the wrong location. It must be at the root, not in a subfolder.
  • Inventing metrics or features. Fabricated claims destroy trust and can backfire.
  • Writing a wall of marketing text. Keep it scannable; bullets and short sections beat dense paragraphs.
  • Letting it go stale. An outdated file actively misleads AI models.
  • Confusing it with robots.txt. llms.txt does not block or allow anything — it explains.
  • Skipping the suggested summary and FAQ. These are the most-quoted sections; omitting them wastes the opportunity.

Who should bother

If your business can be recommended by an AI assistant — a product, a SaaS tool, a service, a store, a piece of software — llms.txt is worth the fifteen minutes it takes. It is especially valuable if your offering is easy to misdescribe, sits in a crowded category, or has pricing and audience details people ask about. A purely local business with no online product gains less, but the file still cannot hurt. Given the trivial effort, most sites with something to promote should publish one.

Frequently asked questions

Is llms.txt an official standard?

No. It is an emerging community convention introduced in 2024, not a standard mandated by any official body. Support varies between AI engines and is still evolving. But it is low-effort and low-risk, so adopting it is a reasonable bet even while the convention matures.

Will llms.txt guarantee my site gets cited by AI?

No. It makes your information cleaner and more accurate, which improves your chances, but citations still depend on authority, relevance, and each engine's own logic. Treat it as removing ambiguity, not as a guaranteed ranking boost.

How is llms.txt different from robots.txt?

They solve different problems. robots.txt controls access — which crawlers may fetch which URLs. llms.txt provides understanding — a plain-language summary of what your site offers. You should have both; learn the access side in our robots.txt guide.

Do I need both llms.txt and llms-full.txt?

Not necessarily. Every site benefits from the short llms.txt summary. llms-full.txt is only worth it if you have substantial documentation — extensive help content, an API reference, or a large knowledge base — that would help an AI answer detailed questions.

Can llms.txt hurt my SEO?

No. It does not affect crawling or indexing and carries no SEO penalty. The only way it can mislead is if it contains inaccurate information — so keep it honest and current, and run a clean On-Page SEO Audit on the fundamentals alongside it.

Conclusion

llms.txt is a small file with a clear purpose: give AI models an accurate, human-readable summary of your site so they describe and cite it correctly. It complements rather than replaces robots.txt and sitemap.xml — access, discovery, and understanding are three separate jobs. Write it honestly, keep it tight, reference it from robots.txt, and update it whenever your product changes. It will not guarantee citations, but it removes the ambiguity that causes AI models to get you wrong. For a fifteen-minute task with no downside, that is a clear win — and a natural next step after you optimize for AI search and tidy up the technical basics with a quick Robots.txt Tester and On-Page SEO Audit.