llms-txt: AI SOURCE READINESS REPORT

SOURCE_ID: 1503 | ENGINE: v1.3.5
LAST_PULSE: 8.02.2026 13:19 (8 months ago)
llmstxt.org
/llmstxt.org/llms.txt
TXT VERIFIED CLEAN SOURCE
VOL: 162
WEB: 80/100
FILE: 55/100
BOT: 70/100
PLCY: 70/100
TRST: 25
FRESH
8 months ago
69
68
WEB QUALITY 80/100
FILE QUALITY 55/100
BOT POLICY 70/100
LEGAL SIGNAL 70/100
SYNC_STATUS FORC v1.3
AI ENRICHED (07.02.2026)

AI Strategic Intelligence

High suitability for RAG about the llms.txt specification and related tooling, due to curated links and Markdown-first content.
Unclear
Occasional
EXECUTIVE SUMMARY: llmstxt.org is the reference proposal site for the /llms.txt convention, providing a Markdown-based, LLM-friendly entry point and curated documentation links intended primarily for inference-time use.

AI Indexing

Reported Brand llms-txt
Seed URL https://llmstxt.org
Classified Categories
  • AI & Machine Learning
  • Developer Tools
  • Documentation
  • Open Source
Core Topics
  • Llm Documentation
  • Llms.txt Spec
  • Markdown Publishing

Context Quality Audit

Entity Type open source project
Primary Industry AI developer documentation / web standards
Business Model open specification + open-source tooling (docs, libraries, plugins)
Target Audience Website owners, documentation teams, and developers building LLM/agent integrations that need curated, machine-readable site context.
Market Position Reference proposal site for the llms.txt convention, with links to implementations and integrations.
Uniqueness/USP Defines a simple, Markdown-structured convention at a standard path (/llms.txt) plus optional .md page variants to make websites easier for LLMs/agents to consume.

Agentic Reach

Source Highlights
  • /llms.txt present and well-formed with summary + curated docs links
  • Sitemap is declared in robots.txt
  • Strong emphasis on Markdown and deterministic parsing for agents/LLMs
AI Integration Opportunities
  • Add explicit license/terms and AI usage guidance (training vs inference, attribution) directly in llms.txt
  • Add JSON-LD (WebSite/Organization/Article) for better entity attribution and indexing
Discovery Anomalies
  • Robots.txt contains only a sitemap line and no crawl directives.
Concerns & Risks
  • Policy ambiguity: no explicit reuse/training permissions or restrictions found in provided data.
  • No structured data provided (json_ld empty).

Source Integrity Check

Policy Assessment (AI)
  • OBSERVATION: No restrictive signals were found in robots.txt (only sitemap). HTTP headers provided do not include x-robots-tag or tdm-reservation. llms.txt is explicitly intended to help LLMs use the site at inference time.
  • ISSUES: ["No explicit license or terms for reuse\/training were found in llms.txt, robots.txt, or provided metadata.","No machine-readable TDM\/AI policy headers (e.g., tdm-reservation) observed in provided headers."]
Policy Intent (Web) neutral
TDM Rights Reserved No
Signal Conflict Warning No

AI Readiness Scorecard

Robots.txt Analysis
  • OBSERVATION: robots.txt only declares a sitemap location and does not specify any allow/disallow rules.
  • IMPROVEMENT: If you want to express crawler/AI access preferences, add explicit User-agent rules and/or pair with a clear policy statement in llms.txt.
  • FACTS: ["robots.txt contains: \"Sitemap: https:\/\/llmstxt.org\/sitemap.xml\""]
  • ISSUES: ["No User-agent directives (Allow\/Disallow) present in robots.txt."]
LLMS.txt Enrichment
  • OBSERVATION: llms.txt is present at /llms.txt, uses Markdown, includes a short blockquote summary, and provides a curated "Docs" section with three annotated links (proposal, Python library docs, and an example).
  • IMPROVEMENT: Consider adding an explicit license/usage note (training vs inference, attribution) and additional sections (e.g., "Optional") if you want to guide context truncation.
  • FACTS: ["llms.txt H1: \"# llms.txt\"","Blockquote summary describes the purpose: adding \/llms.txt to provide LLM-friendly background and links","Includes section \"## Docs\" with links to https:\/\/llmstxt.org\/index.md, https:\/\/llmstxt.org\/intro.html.md, and https:\/\/llmstxt.org\/ed-commonmark.md"]
  • ISSUES: ["No explicit license or usage permissions stated in llms.txt.","No explicit policy guidance on training vs inference beyond general description on the homepage (not in llms.txt)."]
Website Structure AI
  • OBSERVATION: The homepage clearly explains the motivation, proposed format, and examples for llms.txt, and links to tools, directories, and integrations. It is strongly oriented toward machine-readable documentation workflows (Markdown, .md URL variants).
  • IMPROVEMENT: Add a dedicated policy page (and link it from llms.txt) clarifying permitted uses (e.g., inference-time retrieval, caching) and attribution expectations.
  • FACTS: ["Homepage describes proposal to add \/llms.txt and provide clean Markdown versions of pages via .md suffix","Mentions expansion tooling and context files (llms-ctx.txt and llms-ctx-full.txt) via llms_txt2ctx","Lists directories: llmstxt.site and directory.llmstxt.cloud","Lists integrations: llms_txt2ctx, JavaScript implementation, VitePress\/Docusaurus plugins, Drupal recipe, PHP library, VS Code PagePilot extension","Author listed on page: Jeremy Howard; Published September 3, 2024"]
  • ISSUES: ["No explicit AI usage policy or licensing information found in provided fields (privacy_url\/license_url empty).","No structured data (JSON-LD) provided."]
Structured Data Insight
  • OBSERVATION: No JSON-LD structured data was provided in the scrape (json_ld is empty).
  • IMPROVEMENT: Add basic Schema.org markup (e.g., Organization/WebSite/Article) to improve machine understanding and attribution.
  • ISSUES: ["Missing JSON-LD structured data in provided data."]
Detected Stack Cloudflare + GitHub Pages/Fastly caching indicated by headers (cloudflare, via varnish, x-github-request-id, x-fastly-request-id).

GEO Visibility Insights

HTTP Status (Main) 200
Host IP 188.114.97.7
Server Signature cloudflare
SSL Maturity 52

AI-Analysis

Available Tokens 162 tokens
Freshness Status Fresh
Verification Date 2026-01-29
Compute Duration 6.61s

Direct Source Artifacts

Primary Website https://llmstxt.org
Robots Exclusion File https://llmstxt.org/robots.txt
Technical Sitemaps
AI Discovery (LLMS.txt) https://llmstxt.org/llms.txt
Structured Data (JSON-LD) https://llmstxt.org
Live HTTP Target Headers
{"date":"Sun, 08 Feb 2026 12:19:02 GMT","content-type":"text/html; charset=utf-8","server":"cloudflare","x-origin-cache":"HIT","last-modified":"Thu, 29 Jan 2026 02:44:51 GMT","access-control-allow-origin":"*","expires":"Sun, 08 Feb 2026 11:37:37 GMT","cache-control":"max-age=600","report-to":"{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=9UVIEsLKmwYzJKyTEGU9eJbfoa9mKOohtPjJZMSH4k7vh4PZiBoaV5RzIE363lD9TrsVvY2eiFJAVNYhKVsAEmxGznkWG0t6e8GH"}]}","x-proxy-cache":"MISS","x-github-request-id":"F81C:1D2EA5:219F3B9:220C94D:69887328","nel":"{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}","age":"0","via":"1.1 varnish","x-served-by":"cache-lin1730074-LIN","x-cache":"HIT","x-cache-hits":"0","x-timer":"S1770553143.625622,VS0,VE115","vary":"Accept-Encoding","x-fastly-request-id":"2d4793e18da6e401b01c135a433a4bfea4486c4a","cf-cache-status":"DYNAMIC","content-encoding":"br","cf-ray":"9cab12b55832ed68-MXP","alt-svc":"h3=":443"; ma=86400"}
Live HTTP File Headers (LLMS)
{"date":"Sun, 08 Feb 2026 12:19:02 GMT","content-type":"text/plain; charset=utf-8","content-length":"370","server":"cloudflare","last-modified":"Thu, 29 Jan 2026 02:44:51 GMT","access-control-allow-origin":"*","etag":"W/"697ac9a3-288"","expires":"Sun, 08 Feb 2026 12:29:02 GMT","cache-control":"max-age=600","content-encoding":"gzip","x-proxy-cache":"MISS","x-github-request-id":"0946:1C9918:21F232E:2262083:69887F35","accept-ranges":"bytes","age":"0","via":"1.1 varnish","x-served-by":"cache-lin1730066-LIN","x-cache":"MISS","x-cache-hits":"0","x-timer":"S1770553142.320416,VS0,VE115","vary":"Accept-Encoding","x-fastly-request-id":"3492ecb1ea1216fb90b8d2e6ac68f5c07849e509","cf-cache-status":"DYNAMIC","nel":"{"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}","report-to":"{"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=kK21pwUrX9uEmomkoa4sDznGWM5vHj5GqpV9WbczOwwnls%2BVH4eVA41sXZtfe8VY37M7pFczP8lZ51egovDpDKC3XsSxI2W6Kxrl"}]}","cf-ray":"9cab12b35e08ee7c-MXP","alt-svc":"h3=":443"; ma=86400"}
Deep SSL Certificate Data
{"issuer":"Google Trust Services","age_days":52,"days_left":38,"is_mature":false}
Engine Redirect Hop Trace
[
    {
        "url": "https://llmstxt.org",
        "status": 200
    }
]
Raw AI Engine Response (JSON)
{
    "taxonomy": {
        "country": null,
        "categories": [
            "AI & Machine Learning",
            "Developer Tools",
            "Documentation",
            "Open Source"
        ],
        "tags": [
            "Agentic Web",
            "Machine-Legibility",
            "Markdown-Optimized",
            "RAG-Ready",
            "Token Efficiency",
            "Generative Engine Optimization (GEO)"
        ],
        "topics": [
            "LLMs.txt Spec",
            "LLM Documentation",
            "Markdown Publishing"
        ],
        "category_suggestions": [],
        "tag_suggestions": []
    },
    "brand": {
        "name": "llms-txt",
        "description": "An open proposal and documentation hub for standardizing a /llms.txt file that provides LLM-friendly, markdown-based guidance and curated links for inference-time use.",
        "type": "open source project",
        "industry": "AI developer documentation / web standards",
        "business_model": "open specification + open-source tooling (docs, libraries, plugins)",
        "target_audience": "Website owners, documentation teams, and developers building LLM/agent integrations that need curated, machine-readable site context.",
        "tone_voice": [
            "technical",
            "instructional",
            "community-oriented",
            "proposal/spec-focused"
        ],
        "contact_email": null,
        "uniqueness": "Defines a simple, Markdown-structured convention at a standard path (/llms.txt) plus optional .md page variants to make websites easier for LLMs/agents to consume.",
        "market_position": "Reference proposal site for the llms.txt convention, with links to implementations and integrations."
    },
    "languages": {
        "primary": "en",
        "others": [],
        "localization": "global"
    },
    "analysis": {
        "robots": {
            "sentiment": "neutral",
            "observation": "robots.txt only declares a sitemap location and does not specify any allow/disallow rules.",
            "tip": "If you want to express crawler/AI access preferences, add explicit User-agent rules and/or pair with a clear policy statement in llms.txt.",
            "facts": [
                "robots.txt contains: \"Sitemap: https://llmstxt.org/sitemap.xml\""
            ],
            "issues": [
                "No User-agent directives (Allow/Disallow) present in robots.txt."
            ]
        },
        "llms": {
            "sentiment": "positive",
            "observation": "llms.txt is present at /llms.txt, uses Markdown, includes a short blockquote summary, and provides a curated \"Docs\" section with three annotated links (proposal, Python library docs, and an example).",
            "tip": "Consider adding an explicit license/usage note (training vs inference, attribution) and additional sections (e.g., \"Optional\") if you want to guide context truncation.",
            "facts": [
                "llms.txt H1: \"# llms.txt\"",
                "Blockquote summary describes the purpose: adding /llms.txt to provide LLM-friendly background and links",
                "Includes section \"## Docs\" with links to https://llmstxt.org/index.md, https://llmstxt.org/intro.html.md, and https://llmstxt.org/ed-commonmark.md"
            ],
            "issues": [
                "No explicit license or usage permissions stated in llms.txt.",
                "No explicit policy guidance on training vs inference beyond general description on the homepage (not in llms.txt)."
            ]
        },
        "jsonld": {
            "sentiment": "negative",
            "observation": "No JSON-LD structured data was provided in the scrape (json_ld is empty).",
            "tip": "Add basic Schema.org markup (e.g., Organization/WebSite/Article) to improve machine understanding and attribution.",
            "facts": [],
            "issues": [
                "Missing JSON-LD structured data in provided data."
            ]
        },
        "website": {
            "sentiment": "positive",
            "observation": "The homepage clearly explains the motivation, proposed format, and examples for llms.txt, and links to tools, directories, and integrations. It is strongly oriented toward machine-readable documentation workflows (Markdown, .md URL variants).",
            "tip": "Add a dedicated policy page (and link it from llms.txt) clarifying permitted uses (e.g., inference-time retrieval, caching) and attribution expectations.",
            "facts": [
                "Homepage describes proposal to add /llms.txt and provide clean Markdown versions of pages via .md suffix",
                "Mentions expansion tooling and context files (llms-ctx.txt and llms-ctx-full.txt) via llms_txt2ctx",
                "Lists directories: llmstxt.site and directory.llmstxt.cloud",
                "Lists integrations: llms_txt2ctx, JavaScript implementation, VitePress/Docusaurus plugins, Drupal recipe, PHP library, VS Code PagePilot extension",
                "Author listed on page: Jeremy Howard; Published September 3, 2024"
            ],
            "issues": [
                "No explicit AI usage policy or licensing information found in provided fields (privacy_url/license_url empty).",
                "No structured data (JSON-LD) provided."
            ]
        },
        "policy": {
            "stance": "open",
            "observation": "No restrictive signals were found in robots.txt (only sitemap). HTTP headers provided do not include x-robots-tag or tdm-reservation. llms.txt is explicitly intended to help LLMs use the site at inference time.",
            "license": null,
            "allowed": [
                "Inference-time use guidance is explicitly described in the site content (llms.txt proposal)."
            ],
            "denied": [],
            "issues": [
                "No explicit license or terms for reuse/training were found in llms.txt, robots.txt, or provided metadata.",
                "No machine-readable TDM/AI policy headers (e.g., tdm-reservation) observed in provided headers."
            ]
        }
    },
    "ai_content": {
        "json_feeds": [],
        "mcp_server": null,
        "api_endpoints": [],
        "structured_data": [],
        "machine_readable": [
            "/llms.txt (Markdown)",
            "Markdown page variants referenced (e.g., /index.md, *.html.md)",
            "Sitemap: https://llmstxt.org/sitemap.xml"
        ],
        "data_exports": [],
        "embeddings_ready": true,
        "crawl_friendly": true,
        "notes": "Content is largely documentation/proposal text with explicit Markdown resources and permissive CORS header (access-control-allow-origin: *)."
    },
    "strategic": {
        "rag_quality": {
            "assessment": "High suitability for RAG about the llms.txt specification and related tooling, due to curated links and Markdown-first content.",
            "strengths": [
                "Dedicated /llms.txt with curated documentation links",
                "Markdown-optimized resources (index.md, *.html.md) reduce HTML noise",
                "Clear conceptual structure (proposal, format, examples, integrations)"
            ],
            "weaknesses": [
                "No explicit license/usage terms for downstream reuse",
                "No JSON-LD metadata for attribution/entity resolution"
            ]
        },
        "privacy": {
            "rating": "Unclear",
            "assessment": "No privacy policy URL or privacy statements were provided in the scrape; site appears informational/spec-focused.",
            "signals": [
                "Served via Cloudflare (server: cloudflare)",
                "HTTPS URL provided"
            ],
            "concerns": [
                "privacy_url not provided; no privacy terms assessed from supplied data."
            ]
        },
        "update_cycle": {
            "predicted": "Occasional",
            "reasoning": "Spec/proposal content with periodic updates; headers show a recent last-modified date for the site assets.",
            "signals": [
                "last-modified header: Thu, 29 Jan 2026 02:44:51 GMT",
                "Homepage references ongoing community input and GitHub-based discussion"
            ]
        }
    },
    "insights": {
        "summary": "llmstxt.org is the reference proposal site for the /llms.txt convention, providing a Markdown-based, LLM-friendly entry point and curated documentation links intended primarily for inference-time use.",
        "highlights": [
            "/llms.txt present and well-formed with summary + curated docs links",
            "Sitemap is declared in robots.txt",
            "Strong emphasis on Markdown and deterministic parsing for agents/LLMs"
        ],
        "anomalies": [
            "Robots.txt contains only a sitemap line and no crawl directives."
        ],
        "opportunities": [
            "Add explicit license/terms and AI usage guidance (training vs inference, attribution) directly in llms.txt",
            "Add JSON-LD (WebSite/Organization/Article) for better entity attribution and indexing"
        ],
        "concerns": [
            "Policy ambiguity: no explicit reuse/training permissions or restrictions found in provided data.",
            "No structured data provided (json_ld empty)."
        ]
    },
    "quality": {
        "trust_signals": [
            "Clear authorship and publish date stated on homepage (Jeremy Howard; Published September 3, 2024)",
            "Consistent presence of /llms.txt and linked Markdown docs",
            "Sitemap advertised in robots.txt"
        ],
        "tech_stack": "Cloudflare + GitHub Pages/Fastly caching indicated by headers (cloudflare, via varnish, x-github-request-id, x-fastly-request-id).",
        "assessment": "High-quality, machine-legible documentation source for the llms.txt specification with strong RAG readiness due to Markdown resources; lacks explicit licensing/policy metadata and structured data.",
        "recommendation": "Include in directory as an authoritative documentation/spec source for llms.txt; flag missing license/policy details."
    }
}