Free llms.txt Generator — Create llms.txt for Any Website (2026)
Free llms.txt file generator and llms.txt maker. Create a properly formatted llms.txt online for WordPress, Shopify, SaaS docs, or any site. No signup, honest 2026 adoption status included.
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llms.txt
# Untitled Site
Save this as /llms.txt at the root of your domain (e.g. https://example.com/llms.txt).
What llms.txt is — and honest 2026 status (60 seconds)
llms.txt is an emerging proposed standard — a markdown file at /llms.txt that gives LLMs a curated navigation map of your most important content. Proposed by Jeremy Howard / Answer.AI in September 2024 at llmstxt.org. Honest 2026 adoption: Anthropic publishes their own llms.txt; major dev-tool companies (Stripe, Cloudflare, Supabase, Cursor) adopted it; OpenAI, Perplexity, and Google have not formally committed to reading llms.txt files. Treat it as a low-cost optional signal that may help in the future. Use this generator to create yours.
The llms.txt generator creates a curated markdown file at /llms.txt that tells large language models (ChatGPT, Claude, Perplexity, Gemini) which pages on your site to surface. Paste your site URL, review the auto-detected sections, edit, and download. Free, no signup, no rate limit for reasonable use.
What is llms.txt?
llms.txt is a proposed standard for a markdown file at the root of your domain that gives Large Language Models a curated navigation map of your site's most important content. It lives at https://yoursite.com/llms.txt — the same location pattern as /robots.txt.
The proposal was introduced by Jeremy Howard / Answer.AI in September 2024. The format is minimal: H1 site name → blockquote summary → optional H2 sections with bullet lists of important URLs. The goal is editorial curation — telling LLMs which pages matter most, not duplicating your sitemap.xml.
llms.txt is complementary to robots.txt and sitemap.xml, not a replacement for either. Robots.txt controls crawler access. Sitemap.xml lists every URL for indexing. llms.txt curates the subset that matters most for LLM understanding.
Honest 2026 adoption status
Most generator tools don't tell you the truth about llms.txt adoption. Here's the verified state as of mid-2026.
Anthropic (Claude)
Publishes own llms.txtAnthropic publishes docs.anthropic.com/llms.txt, signaling their developer documentation structure to LLM crawlers. No formal commitment to read others' llms.txt files in their crawling. Pattern: lead-by-example rather than formal endorsement.
OpenAI (ChatGPT)
No formal commitmentNo public OpenAI statement on llms.txt support as of mid-2026. GPTBot follows robots.txt; OAI-SearchBot follows robots.txt. Whether either reads llms.txt is not publicly documented.
Perplexity AI
No formal commitmentPerplexityBot respects robots.txt per their docs. No public statement on llms.txt support.
Google (Gemini, AI Overviews)
No formal commitmentGoogle has not adopted llms.txt. Google's John Mueller has publicly questioned whether llms.txt provides incremental value over sitemap.xml + robots.txt (X/Twitter, late 2024).
Major dev-doc platforms
AdoptingStripe, Cloudflare, Supabase, Cursor, and several developer-tool companies publish llms.txt at their docs roots. This is the strongest adoption signal — the people most likely to want their docs cited correctly by Claude/ChatGPT.
llms.txt vs robots.txt vs sitemap.xml
Three files at your domain root, three different purposes. They're complementary, not substitutes.
| Dimension | llms.txt | robots.txt | sitemap.xml |
|---|---|---|---|
| Purpose | Content curation for LLMs | Access control | URL discovery |
| Status | Emerging proposal (llmstxt.org, Sep 2024) | IETF RFC 9309 (2022) | Sitemap Protocol 0.9 (2008) |
| Format | Markdown | Plain text directives | XML |
| Location | /llms.txt | /robots.txt | /sitemap.xml (declared in robots.txt) |
| Adoption | Partial — Anthropic + dev-tools companies; OpenAI/Google not committed | Universal — all major crawlers respect it | Universal |
| What it tells crawlers | Which content is most important | What may be fetched | What pages exist |
| Required? | No — optional, low-cost signal | Standard practice | Standard practice |
Should you publish llms.txt? 3 honest scenarios
Publish — Developer documentation, technical docs, API docs
If your users routinely paste your docs into Claude or ChatGPT to debug code, publishing llms.txt signals your doc structure so the model can navigate efficiently. Anthropic, Stripe, Cloudflare, Supabase, and Cursor all do this. Pattern: short llms.txt linking to canonical doc URLs, plus optional llms-full.txt with concatenated content.
Publish — Cornerstone content site (B2B SaaS, agency, consultancy)
If you have 20-100 high-quality cornerstone pages and want AI engines to prioritize them over thinner archive content, llms.txt is a low-cost signal that may help. Adoption is partial so the impact is uncertain, but the cost is near zero and the file makes editorial intent explicit even if not all vendors read it.
Wait — General marketing site, e-commerce, content marketing blog
If your site is mostly marketing pages, product listings, or blog posts already covered by sitemap.xml, llms.txt adds limited value. Spend the time on schema content-match, E-E-A-T signals, and AI-search-specific content quality instead. Revisit in 6 months as adoption clarifies.
What to put in your llms.txt
Per the spec at llmstxt.org, the format is intentionally minimal. The generator above handles the formatting automatically. Here's what each section should contain.
H1 — Site name
The brand or product name LLMs should associate with this domain. Single line. Example: # Acme Corp
Blockquote — Summary
One-paragraph description of what the site does, who it serves, and what kind of content lives there. Treat it as the answer to “tell me about this brand in 50 words.”
H2 sections — Curated content groups
Group your most important URLs by purpose: Docs, Guides, Products, Blog, Research. Each section is an H2 followed by markdown links. Be selective — 10-50 URLs total is typical. 100+ usually means you're duplicating sitemap.xml.
Optional — Notes section
Free-form context: license, attribution preferences, contact info. Useful for clarifying how you want to be cited.
How to create an llms.txt file
Creating llms.txt takes about 5 minutes with this free llms.txt file generator. The file must be reachable at yoursite.com/llms.txt — the same root-level location as robots.txt.
1. Paste your homepage URL (or start from scratch)
Enter your site's homepage URL into the llms.txt generator. The tool auto-detects your site name, existing sitemap sections, and canonical URLs. You can also skip the URL and build your file from scratch — the generator gives you an editable template either way.
2. Review auto-detected sections and edit content
The llms.txt file generator populates an H1 site name, a blockquote summary, and H2 sections with curated links. Rewrite the summary in your own words, prune sections that duplicate sitemap.xml, and add cornerstone URLs you want ChatGPT, Claude, Perplexity, and Gemini to prioritize.
3. Copy or download the finished llms.txt file
Once your file is ready, copy the markdown to the clipboard or download it as llms.txt. No signup, no rate limit for reasonable use, and the file follows the llmstxt.org spec exactly.
4. Upload to your site root at /llms.txt
Your llms.txt must be reachable at yoursite.com/llms.txt — the same location pattern as /robots.txt. Upload via FTP, your host's file manager, or a platform-specific route (see the WordPress, Shopify, and SaaS sections below).
llms.txt for WordPress
WordPress users have two clean options for publishing llms.txt. Option A: use this generator to build the file, then upload it to your actual web root via FTP or your host's File Manager. Option B: install a WordPress plugin such as the Website LLMs.txt plugin, which auto-generates and serves the file from your WordPress instance.
Common mistake: uploading to /wp-content/ or /wp-admin/ won't work — the file has to sit at your document root (the same directory as wp-config.php) so it resolves at yoursite.com/llms.txt. Verify with a fresh browser tab before assuming AI engines can read it.
llms.txt for Shopify
Honest limitation: Shopify is currently one of the harder platforms for llms.txt. Shopify does not let merchants drop arbitrary static files at the storefront root, so the standard “upload llms.txt via FTP” approach does not apply.
Three working paths on Shopify:
- Theme-level template — add a template that renders markdown at the /llms.txt path via a page or app proxy.
- Shopify Plus custom routing — Plus merchants can configure routing rules to expose the file at the root.
- Third-party apps — several Shopify apps now inject an llms.txt file at the storefront root. Verify the file returns HTTP 200 at the root before relying on it.
llms.txt for SaaS documentation
SaaS documentation is the strongest current use case for llms.txt. Developer docs are exactly the content users paste into ChatGPT and Claude to debug, and llms.txt lets you signal your canonical doc URLs directly.
If you use Mintlify: Mintlify auto-generates llms.txt and llms-full.txt for their customers — no action needed. If you host docs elsewhere (Docusaurus, Nextra, custom Next.js, GitBook): use this llms.txt tool to build the file, then serve it at your docs subdomain root (e.g. docs.yoursite.com/llms.txt).
Consider publishing both variants: a short llms.txt as the index, plus llms-full.txt with concatenated content so an LLM can ingest the entire corpus in a single fetch. Anthropic, Stripe, and Cursor all publish both files.
Is llms.txt worth implementing in 2026?
Short answer: cheap to implement (~5 minutes with this llms.txt maker), zero downside, upside is uncertain but non-zero. Worth doing for content-heavy or docs-heavy sites.
- Proposed: September 2024 by Jeremy Howard (Answer.AI). No major AI engine formally supports it as of July 22, 2026.
- Anthropic publishes docs.anthropic.com/llms.txt and recommends the format for documentation ingestion.
- OpenAI, Google, Perplexity have not publicly committed to reading llms.txt files.
- Mintlify auto-generates llms.txt for its docs customers — proof of practitioner adoption.
- FAQPage rich results were retired by Google on May 7, 2026 (attribution: Ryan Levering). We still ship FAQPage schema on this page because Google still parses it for AI Overview context, but do not expect rich-snippet results.
5 public llms.txt examples to reference
Inspect these to see how real implementations structure their files. URLs verified June 2026.
Frequently asked questions
What is llms.txt used for?▾
llms.txt is used to give large language models (ChatGPT, Claude, Perplexity, Gemini) a curated markdown map of your most important content. Unlike sitemap.xml, which lists every page, llms.txt highlights only the pages you want AI engines to prioritize when they cite or summarize your brand.
Do AI engines actually read llms.txt in 2026?▾
Honest 2026 answer: partially. Anthropic publishes its own llms.txt and recommends the format for documentation ingestion. OpenAI, Google, and Perplexity have not formally committed to reading llms.txt files as of July 2026. Publishing one is cheap and low-risk, but do not expect universal AI-engine support today.
Is llms.txt the same as robots.txt?▾
No. robots.txt controls crawler access (what may be fetched). llms.txt curates content (what matters most). They live at similar paths (/robots.txt and /llms.txt) but serve different purposes. Publish both — they are complementary, not substitutes.
Do I need llms.txt for SEO?▾
No. Traditional SEO ranking is driven by content quality, backlinks, and technical health — llms.txt does not influence Google Search ranking. It is specifically for AI-engine content curation, not classical SEO. Treat llms.txt as an emerging AI-visibility signal, not a ranking factor.
What is the difference between llms.txt and llms-full.txt?▾
llms.txt is the short curated index — H1, blockquote summary, and markdown links. llms-full.txt is the expanded variant with actual content inlined, so an LLM can ingest your whole docs corpus in a single fetch. Most implementations (Anthropic, Stripe, Cursor) publish both files at the same root.
Can I create llms.txt for free?▾
Yes. This llms.txt generator is completely free, requires no signup, and imposes no rate limit for normal use. You paste a URL, edit the auto-detected sections, and download the file. Alternatives include hand-writing markdown, using Mintlify (SaaS docs), or installing a WordPress plugin.
How do I add llms.txt to WordPress?▾
Two options. Option A: use this llms.txt online generator to create the file, then upload it to your WordPress web root via FTP or your host's File Manager. Option B: install a WordPress plugin like 'Website LLMs.txt' that auto-generates and serves the file. Either way, verify the file is reachable at yoursite.com/llms.txt.
How do I add llms.txt to Shopify?▾
Shopify does not allow arbitrary root-level static files, which makes llms.txt one of the harder platforms. Options include: adding a theme-level template that renders at /llms.txt, using a Shopify Plus custom-routing rule, or installing a third-party app that injects the file. Confirm the file returns 200 at your storefront root before assuming AI engines can read it.
Does llms.txt help my ChatGPT visibility?▾
Uncertain. Anthropic has publicly recommended llms.txt for Claude's documentation ingestion. OpenAI has not committed to reading llms.txt for ChatGPT. Publishing one signals editorial intent and is cheap to maintain, but do not expect an immediate visibility lift in ChatGPT specifically.
What is llms.txt?▾
llms.txt is a proposed standard introduced by Jeremy Howard / Answer.AI in September 2024 at llmstxt.org. It's a markdown file served at the root of your domain (/llms.txt) that gives Large Language Models a curated navigation map of your most important content. Format: H1 site name, blockquote summary, then markdown sections with links. Unlike robots.txt (access control) and sitemap.xml (URL discovery), llms.txt is about content curation — telling LLMs which content matters most for understanding your site or product.
Is llms.txt an official standard?▾
Not yet. It's a community proposal championed by Jeremy Howard (FastAI, Answer.AI). It's not an IETF or W3C standard. There is no formal compliance body. Adoption is partial as of mid-2026: Anthropic publishes their own llms.txt, several major dev-tool companies (Stripe, Cloudflare, Supabase, Cursor) publish theirs. OpenAI and Google have not formally committed to reading llms.txt files. Google's John Mueller has publicly questioned whether it adds value over existing standards.
Do LLMs actually read llms.txt?▾
Honest answer: partially and inconsistently. Anthropic referencing the format (and publishing their own) is the strongest adoption signal. Whether Claude, ChatGPT, or Perplexity actually fetch and prioritize content based on llms.txt during retrieval is not publicly documented by any vendor. Treat llms.txt as a low-cost optional signal — publishing one makes editorial intent explicit, costs near nothing to maintain, and may help adoption in the future even if today's vendors don't formally read it.
What's the difference between llms.txt and llms-full.txt?▾
llms.txt is the short navigation map — H1 site name, blockquote summary, and curated section links pointing to canonical URLs. llms-full.txt is the expanded version with actual content concatenated — useful when you want an LLM to ingest your entire docs corpus in one fetch without crawling individual URLs. The pattern: publish llms.txt first as the index; add llms-full.txt later if you want LLMs to grab everything at once. Most major implementations (Anthropic, Stripe, Cursor) publish both.
What's the difference between llms.txt, robots.txt, and sitemap.xml?▾
Three files at your domain root, three different purposes. robots.txt is access control — tells crawlers what they may fetch. sitemap.xml is URL discovery — lists every page that should be indexed. llms.txt is content curation — tells LLMs which content matters most. They're complementary, not substitutes. Most well-configured 2026 sites have robots.txt + sitemap.xml as standard practice; adding llms.txt is an emerging additional signal specifically for AI crawlers.
What's the right format for llms.txt?▾
Per the spec at llmstxt.org: H1 with site name → blockquote with short summary → optional H2 sections with bullet lists of important URLs in markdown link format. Example: # Acme Corp > Acme Corp builds developer tools for AI-native teams. We make X, Y, and Z. ## Docs - [Getting Started](https://acme.com/docs/start) - [API Reference](https://acme.com/docs/api) ## Blog - [Why we built Acme](https://acme.com/blog/why) Keep it short — under 200 lines is typical. The goal is curation, not exhaustive listing.
Should I list all my pages or be selective?▾
Be highly selective. The whole point of llms.txt is curation — telling LLMs which pages matter most, not duplicating sitemap.xml. List your cornerstone content: docs, key product pages, foundational blog posts. Don't list every blog post (that's what sitemap.xml is for). Most well-formed llms.txt files have 10-50 curated URLs grouped into 3-5 logical sections. If you find yourself listing 100+ URLs, you're probably duplicating your sitemap — step back and pick the 20-30 that genuinely represent your site.
Where do I put the llms.txt file?▾
At the root of your domain: https://yoursite.com/llms.txt — same location pattern as robots.txt. Serve it with Content-Type: text/markdown or text/plain and a 200 status. If you have a docs subdomain, you can also publish docs.yoursite.com/llms.txt. Some implementations (Anthropic) publish at the docs subdomain root rather than the main domain root.
Sources
- llmstxt.org — proposed llms.txt spec (Jeremy Howard / Answer.AI, September 2024). llmstxt.org
- Anthropic docs llms.txt — public implementation. docs.anthropic.com/llms.txt
- Stripe llms.txt — public implementation. stripe.com/llms.txt
- Cursor llms.txt — public implementation. cursor.com/llms.txt
- Supabase llms.txt — public implementation. supabase.com/llms.txt
- IETF RFC 9309 — Robots Exclusion Protocol (for comparison). datatracker.ietf.org/doc/html/rfc9309
- Sitemap Protocol 0.9 — sitemaps.org (for comparison). sitemaps.org/protocol.html
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