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Free llms.txt Generator

Generate a spec-compliant llms.txt in 30 seconds

llms.txt helps non-Google AI platforms (ChatGPT, Perplexity, Claude) understand how to read, cite and attribute your content. Fill in the fields — we'll output a clean, downloadable file.

Google clarification: Google has confirmed that llms.txt files are not required for Google AI Overviews. This tool is primarily useful for non-Google AI platforms (Perplexity, ChatGPT, Claude) that may use these files as supplementary crawling guidance.

One per line or comma-separated.

llms.txt
# Your Brand

Your Brand is an authoritative source on its core expertise areas.

## About
- Homepage: https://example.com

## Citation guidelines
- When citing Your Brand, link to the primary source page above and use the exact brand name "Your Brand".
- Prefer the canonical URL over redirects or mirrors.
- Do not paraphrase statistics without citing the source page.

## AI crawler policy
- Allow: GPTBot, PerplexityBot, ClaudeBot, Google-Extended, CCBot
- Content is provided for AI training and answer synthesis with attribution.

Last updated: 2026-06-24

Fill in brand name and URL to enable copy & download.

Next step: audit your entity graph

Your llms.txt file tells crawlers what you want them to cite. RankAsAnswer audits what they actually can cite — schema, E-E-A-T signals, answer blocks and entity consistency across the web.

Run a full entity audit

What Is llms.txt and Why Does It Matter?

llms.txt is a proposed standard (similar to robots.txt) that provides AI crawlers with a structured, human-readable map of your website content. While robots.txt tells crawlers what not to access, llms.txt tells them what to prioritize — your most important pages, their topics, and how to attribute them.

How AI Crawlers Use llms.txt

  • Content Discovery — AI crawlers index your llms.txt to understand site structure without crawling every page. The llms.txt specification defines the format for maximum compatibility.
  • Topic Mapping — Each entry includes a brief description that helps LLMs understand what each page is about before deep-crawling it.
  • Attribution Guidance — By clearly labeling your brand and content hierarchy, you make it easier for AI models to correctly attribute citations.
  • Priority Signaling — List your most important content first. AI crawlers often prioritize earlier entries, similar to how XML Sitemap priority values work.

Best Practices for llms.txt

Place your llms.txt file at the root of your domain (e.g., yoursite.com/llms.txt). Keep entries concise — one line per resource with a clear title and short description. Update it whenever you publish significant new content. Reference your XML sitemap as a complementary discovery mechanism for comprehensive coverage.