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llms.txt: The Complete Guide (What It Is, Format, Generator)

July 19, 2026 · 7 min read

llms.txt is a Markdown-formatted text file served at yoursite.com/llms.txt that gives AI systems a clean, token-efficient guide to your site: what it is, what you offer, and which pages contain the facts that matter. Think of it as robots.txt's constructive sibling — robots.txt says where crawlers may go; llms.txt says what is worth understanding.

Why it exists

AI systems work under context limits and parse messy HTML imperfectly. A concise, structured summary at a predictable URL lets them ingest your canonical facts cheaply and correctly. The convention started in developer documentation (docs platforms now auto-generate it) and spread to product and business sites as AI answers became a discovery channel.

The format

An H1 with your name, a one-line blockquote summary, then short Markdown sections with the facts and key links. Plain text, no scripts, no tricks:

# Acme

> Acme is invoicing software for freelance designers. Plans from $12/month.

## What we do
Acme creates, sends, and chases invoices automatically for solo designers
and small studios.

## Key pages
- Home: https://acme.com/
- Pricing: https://acme.com/pricing
- Product tour: https://acme.com/tour
- FAQ: https://acme.com/faq

## Frequently asked questions
- Q: How much does Acme cost?
  A: Plans start at $12/month with a 14-day free trial.
- Q: Who is Acme for?
  A: Freelance designers and studios under 10 people.

## Contact
- Website: https://acme.com
- Email: hello@acme.com

What llms.txt can and cannot do

  • Can: give engines a canonical, unambiguous statement of what you are — reducing hallucinated descriptions and stale facts.
  • Can: point crawlers at your highest-value pages (pricing, FAQs, comparisons) so they get read first.
  • Cannot: force any engine to mention you — it is one signal in the stack, not a ranking hack.
  • Cannot: substitute for crawlable HTML, structured data, or third-party corroboration.

Keep it truthful and current. An llms.txt that contradicts your site — old pricing, discontinued products — actively spreads wrong answers about you. Review it whenever facts change.

Checklist for a good llms.txt

  1. Serve it at the root as plain text (not HTML), reachable without JavaScript.
  2. Name + one-sentence identity in the first two lines.
  3. State category, audience, and real pricing — numbers are what engines quote.
  4. 5–10 key page links, each with a word on why it matters.
  5. 3–8 FAQs with direct answers.
  6. Keep it under ~200 lines; it is a guide, not a sitemap dump.
  7. Update it when facts change; stale llms.txt is worse than none.

Key takeaways

  • llms.txt = a plain-text canonical guide to your site for AI systems, served at /llms.txt.
  • It reduces wrong AI answers about you by stating identity, pricing, and FAQs unambiguously.
  • It is one layer of AEO — it complements structured data and crawlable content, never replaces them.
  • Generate it from your brand facts and keep it in sync as they change.

Zero hand-writing

Generate your llms.txt automatically

AnswerScope's Fix Pack builds llms.txt, a facts JSON endpoint, robots rules and FAQ schema from your brand facts.

Frequently asked questions

What is llms.txt?

A plain-text, Markdown-formatted file served at your site root (/llms.txt) that tells AI systems what your site is about, your key facts, and which pages matter most.

Does llms.txt improve AI visibility?

It is one signal: it gives engines a canonical, cheap-to-read statement of your facts, which reduces wrong or stale descriptions. It works alongside crawler access, structured data, and quotable content — not instead of them.

Is llms.txt the same as robots.txt?

No. robots.txt controls where crawlers may go; llms.txt tells AI systems what your site means and which pages carry the canonical facts.

How do I create an llms.txt file?

Write it by hand following the format above, or generate it: AnswerScope's Fix Pack produces llms.txt from your stored brand facts, alongside a facts JSON endpoint, AI-crawler robots rules, and FAQPage schema.

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