# Llmstxt (llmstxt.org): agent-readiness 62/100, grade C

> Rank 414 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-06T21:10:15.961Z. Page: https://qomvia.com/site/llmstxt-org  JSON: https://qomvia.com/api/score/llmstxt-org

## Summary
Category: Software and SaaS
{
  "known": true,
  "confidence": "high",
  "summary": "Llmstxt.org is a website promoting the `/llms.txt` file, a proposed open standard designed to provide information and guidance to AI agents (like LLMs) on how to interact with a website. Its purpose is to standardize how webmasters can inform LLMs about their site's content and preferred usage policies.",
  "offerings": [
    "The /llms.txt standard proposal",
    "Documentation for the standard",
    "Python library for `llms-txt`",
    "Example implementations and usage guides"
  ],
  "audience": "Web developers, site owners, AI researchers, LLM developers, and content creators interested in controlling or guiding AI interaction with web content.",
  "geography": null,
  "strengths": [
    "Addresses the growing need for clear LLM-website interaction guidelines.",
    "Proposes a standardized, easily discoverable method for site owners.",
    "Provides clear documentation and practical examples.",
    "Aims to give site owners greater control and transparency over AI access.",
    "Promotes an open and community-driven approach to standard development."
  ],
  "unknowns": [
    "The current level of industry adoption for the `/llms.txt` standard.",
    "Specific formal endorsements from major AI or web standards organizations.",
    "The long-term funding or organizational structure behind the project.",
    "The size and activity of its core contributor community.",
    "Any formal integration plans with major LLM providers or web platforms."
  ],
  "alternatives": [
    "robots.txt",
    "schema.org",
    "sitemaps.org",
    "w3.org",
    "ietf.org"
  ],
  "business": "A project proposing an open web standard (`/llms.txt`) for webmasters to provide AI agents with structured guidance on content interaction, aiming for greater control and transparency and fostering responsible AI usage.",
  "competitors": [
    "w3.org",
    "schema.org",
    "openai.com",
    "google.com",
    "microsoft.com",
    "ietf.org",
    "commoncrawl.org"
  ]
}

## Score by group
- Machine access: 24/24
- Content legibility: 21/26
- Discovery surface: 9/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] The site does not say who it is
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact

## AI mentions and rivals
Named in 1 AI assistant answers.
- w3.org: not measured
- schema.org: 62/100 https://qomvia.com/site/schema-org
- google.com: not measured
- microsoft.com: 63/100 https://qomvia.com/site/microsoft-com
- ietf.org: not measured

## FAQ
Q: Is Llmstxt readable by AI agents?
A: Llmstxt (llmstxt.org) scores 62 out of 100 for agent readiness, grade C, measured 4 days ago, on 06.10.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using llmstxt.org?
A: The heaviest problems are: The site does not say who it is; No API or feed to read; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact. Each one is scored from a public HTTP response, and the fix for each is listed in the signed-in report.

Q: How is the Llmstxt agent-readiness score calculated?
A: Qomvia fetches public pages of llmstxt.org as an AI agent would and runs the core checks every site gets across 6 groups: Machine access, Content legibility, Discovery surface, Identity & policy, Agent-facing performance, Agent protocols. Checks are weighted by how much an agent loses when they fail, and the score is expressed out of 100.

Q: How often is this score updated?
A: Public scores are re-checked when the site is re-scanned; tracked domains are re-scanned weekly and their owners are alerted when a check regresses. This page shows the scan from 4 days ago, on 06.10.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software
- Score another site: https://qomvia.com/