Free sitemap-to-llms.txt builder

Free llms.txt Generator from Your Sitemap

Turn a sitemap into a clean proposed-format llms.txt draft. Curate the pages, edit sections, preview the Markdown and download it free — no account and no ranking or citation promises.

Build my llms.txt See how it works →
Proposed llms.txt site brief shown with ChatGPT Search, Claude (Anthropic), Perplexity AI, Google Gemini; support varies and use is not guaranteed llms.txt

No account needed · Free builder · Manual entry supported · Automatic sitemap discovery up to 30/day

Improve with the AEO toolkit

After publishing, test the live file and your server logs. Then improve the crawlable pages, content and entity signals that search and answer systems actually use.

AEO Readiness Checker — on-page AI SEO score Content Gap Finder — missing topics & FAQs JSON-LD @graph Generator — connected schema markup GBP & NAP Checker — page-to-profile consistency AEO Glossary — plain-language AI search terms MiniSEO Pass — AEO Pro + Content Gap credits

Simple process

How to generate your llms.txt

  1. Enter your site name & summary

    Add your site or product name and a one-line description. This becomes the title and quote block at the top of your file.

  2. Auto-discover pages (optional)

    Enter your domain and the tool scans your sitemap.xml, grouping URLs by section automatically. No sitemap? Add links manually instead.

  3. Organize into sections

    Group links under clear headings — Docs, Guides, Pricing, API Reference — the same way you would organize a table of contents.

  4. Download & upload

    Copy or download the generated llms.txt, then upload it to your site root so it's reachable at yoursite.com/llms.txt.

What is llms.txt and why does it matter?

An optional markdown guide at your site root that summarizes your site and priority pages for systems that choose to use the proposed convention.

Definition

llms.txt is a proposed plain-text file placed at a site root to summarize the site, its intended audience, and selected priority links in a markdown-friendly format. It offers optional guidance to systems that choose to read it; it is not an access-control standard, a replacement for robots.txt or sitemaps, or a guarantee of crawling, ranking, citation, or AI use.

Some AI-assisted search products fetch and cite live web pages at query time. robots.txt controls crawler access; llms.txt is a separate, proposed convention for summarizing core docs, pricing, and key guides in a concise text format. Support varies, so treat the file as optional guidance rather than an access rule or ranking signal.

Adoption is still early and varies by product. A concise, maintained file can still serve as a useful machine-readable directory and editorial inventory, but publishers should evaluate it as an experiment and keep canonical pages, sitemaps, structured data, and crawl controls authoritative.

What a good llms.txt includes

Four pillars that separate a useful file from a dump of every URL on your site.

Clear identity

  • Site or product name as H1
  • One-line summary as a quote block
  • No marketing fluff — direct, factual description

Organized sections

  • Logical grouping (Docs, Guides, API, Pricing)
  • Short labels, not full sentences
  • Optional one-line notes per link

Curated, not exhaustive

  • Your most important pages, not every URL on the site
  • Prioritize docs, guides, and canonical reference pages
  • Skip low-value pages (legal, archived content, thin tag pages)

Kept current

  • Update when you add major docs or restructure sections
  • Treat it like a sitemap for humans-reading-as-AI, not a one-time file

llms.txt vs. robots.txt vs. sitemap.xml

Three root files, three audiences — don’t confuse access rules with a curated AI summary.

These three files sound similar but serve different audiences. Confusing them is the most common mistake when adding llms.txt for the first time.

Comparison of robots.txt, sitemap.xml, and llms.txt
robots.txt sitemap.xml llms.txt
Audience Search crawlers Search engines AI systems / LLMs
Purpose Access rules Full URL list Curated summary
Format Directives XML Markdown
Required? Best practice Best practice Emerging convention

What this generator can — and cannot — do

Capabilities and limitations of the llms.txt generator
It can It cannot
Build a concise proposed-format markdown file from pages you select or discover from a same-origin sitemap. Force ChatGPT, Claude, Gemini, Google, or any crawler to fetch, prioritize, rank, cite, or use those pages.
Help you curate a maintained directory of canonical docs, guides, pricing, and reference pages. Replace robots.txt access rules, XML sitemaps, canonical tags, structured data, or useful page content.

Does llms.txt work? Current evidence

Evidence reviewed 26 August 2026. Search visibility, agent navigation and file-format adoption are different questions.

Current evidence and practical decisions for llms.txt
Question Current evidence Practical decision
Google rankings & AI Overviews Google Search says it does not use llms.txt or other special AI text files. Do not sell or measure the file as a Google ranking factor.
Agent navigation Chrome Lighthouse includes an experimental agentic-browsing audit, but treats a missing file as optional and not applicable. Use a concise file when agent or documentation navigation is a real audience need.
Observed fetching A June 2026 Ahrefs study of 137,000 domains found that 97% of published files received no requests in the measured month. Treat publication as a low-cost experiment and verify real use in server logs.
Format llmstxt.org documents a community proposal for a concise root-level Markdown index. Generate a curated draft, review it editorially and keep canonical pages authoritative.

Primary references: llms.txt proposal · Google Search guidance · Chrome Lighthouse audit · Ahrefs server-log study

Validation checklist: generated is not the same as published

The preview confirms the file assembled in your browser. The generator cannot verify your server after download, so complete these checks after uploading it.

  1. Review the title, summary, section labels, and every selected URL; remove private, duplicate, redirected, or outdated pages.
  2. Publish the plain-text file at the site root and confirm /llms.txt returns HTTP 200 without a login, redirect chain, or HTML error page.
  3. Keep robots.txt, sitemap.xml, canonical tags, and important pages authoritative; update llms.txt when URLs or documentation change.

Validation state: the downloaded structure is ready for editorial review; live publication remains unverified until you test the uploaded URL.

Methodology & limitations

  1. Optional discovery fetches only public, same-origin robots.txt and sitemap resources through the shared SSRF-safe fetch layer; private and unsafe network targets are blocked.
  2. Sitemap discovery is bounded: the generator samples a limited number of same-origin child sitemaps and returns at most 200 URLs for review rather than treating every discovered page as important.
  3. You remain the editor. Remove utility, duplicate, private, thin, or outdated URLs and describe the site accurately before publishing the generated file.
  4. llms.txt is a proposed convention with varying adoption. A valid file does not control crawler access and cannot guarantee discovery, ranking, citation, summarization, or use by any AI product.

Frequently asked questions

Quick answers about format, placement, and how AI systems use the file.

What is llms.txt?
llms.txt is a proposed Markdown index at your site root. It summarizes what the site is about and links to selected documentation, pricing, guides, or other canonical pages. It is optional guidance for agents that choose to fetch it, not a crawler directive or ranking file.
Who uses llms.txt?
There is no confirmed universal support. Some documentation sites publish it and some agents or auditing tools may fetch it, but adoption varies. Google Search says it does not use llms.txt; check your own server logs instead of assuming a specific bot reads the file.
Is llms.txt an official web standard?
No. It is a community proposal, not an IETF or W3C web standard. Chrome Lighthouse currently treats it as an optional, experimental agentic-browsing check; a missing file is marked not applicable rather than failed.
Does llms.txt replace robots.txt or sitemap.xml?
No. robots.txt controls crawler access; sitemap.xml lists URLs for discovery. llms.txt is a separate, curated summary for AI-oriented readers. Keep all three when they serve different jobs.
Where do I upload the generated file?
Serve it at your site root so it is reachable at yoursite.com/llms.txt. You can upload a physical file with SFTP or your host's file manager, or use a CMS/plugin route that returns plain Markdown at the same root URL. Confirm the live URL returns HTTP 200 and not an HTML error page.
What pages should I include?
Your most important, evergreen content: documentation, core guides, pricing, and any page you'd want an AI system to reference first. Avoid listing every URL on your site — llms.txt works best as a curated summary, not a full sitemap duplicate.
Does sitemap auto-discovery work on every site?
It requires a reachable sitemap.xml (or one referenced in robots.txt). If neither exists, the tool falls back to manual entry — you can still build a complete file by adding sections and links by hand.
How often should I update llms.txt?
Review it when priority URLs, documentation, pricing, or site structure changes. Remove redirects, deleted pages, duplicates, and outdated descriptions. If the file is only an experiment, use server logs to decide whether ongoing maintenance is justified.
Does Google Search or AI Overviews use llms.txt?
Google says Search does not use llms.txt or other special AI text files for ranking or appearance in its generative AI features. Keep crawlability, index eligibility, useful visible content, internal links, canonical signals, and accurate structured data as the primary work.
Does llms.txt actually work?
Evidence is limited and depends on the use case. A June 2026 Ahrefs log study found that 97% of published llms.txt files in its 137,000-domain sample received no requests during the measured month. Treat it as a low-cost experiment or agent/documentation aid, then verify usage in your own logs; do not promise traffic, rankings, or citations.
How is this different from the AEO Readiness Checker?
The AEO Readiness Checker scores measurable on-page signals such as schema, headings, and trust. This tool creates an optional site-level content guide under the proposed llms.txt convention; it does not score pages or guarantee crawler use.

Why trust this llms.txt generator?

Same SSRF-safe tooling as our AEO checker — built for production sites, not a generic form wrapper.

Built by Maksut as part of the same AEO tooling behind the AEO Readiness Checker and AI Content Gap Finder — production WordPress and technical AEO work, not a generic form wrapper. Sitemap discovery uses the same SSRF-safe fetch infrastructure as the other tools on this site, so scanning your domain is safe by default.

llms.txt is an emerging, unofficial convention — no vendor guarantees it will be used, and adoption varies by AI provider. This tool helps you ship a correctly-formatted file quickly; it does not promise a specific outcome in any AI system's answers.

Tools & next steps

Continue with another free checker, the AEO Toolkit hub, or implementation services.