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Free llms.txt Generator (Make Your Site AI-Search Ready)

Describe your site and its most important pages and get a clean, llmstxt.org-format file to drop in your site root — no coding, no upload.

Why use this instead of doing it manually

Free llms.txt generator: build a spec-compliant llms.txt file that gives ChatGPT, Claude and Perplexity a curated map of your key pages, with sections, links and notes. Copy or download instantly.

How this tool compares to doing it manually
CapabilityThe manual wayWith ContentSERP
FormatGuess the markdown structureSpec-accurate H1, blockquote, sections and link lists
MaintenanceHand-edit as pages changeFill a form, regenerate in a keystroke
PairingNo way to verify it worksFeed straight into the AI Readiness checker
CostCustom dev timeFree, runs in your browser

Frequently asked questions

What is llms.txt and what format does it use?

llms.txt is a proposed standard (llmstxt.org): a markdown file with an H1 site name, a blockquote summary, optional details, then ## sections of [linked](url) items. It gives large-language-model crawlers a curated map of your most important pages.

Where do I put the generated file?

Upload it to your site root so it is reachable at https://yourdomain.com/llms.txt, alongside robots.txt and sitemap.xml. The generator’s download gives you a ready llms.txt file.

Does it improve Google rankings?

Not directly — Google does not use llms.txt. It helps AI answer engines understand and cite your content, a growing source of traffic under generative engine optimisation (GEO).

What is the “Optional” section flag?

The spec lets you mark a section as “## Optional” so parsers can skip it when building a compact context. Use it for secondary links you would like available but not front-of-house.

Schema & llms.txt

Free structured-data generator: build valid JSON-LD (FAQ, Article, Product, Software, Breadcrumb), Open Graph meta tags and an llms.txt file to make your site AI-search ready.

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FAQ Schema

Free FAQ schema generator: build valid FAQPage JSON-LD from your questions and answers, preview the FAQ, and export schema that helps Google and AI answer engines read and cite your page.

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