{
  "dataset": "glossary",
  "record": {
    "id": "llms-txt",
    "term": "llms.txt",
    "category": "protocols",
    "short_def": "A markdown file at a domain's root that gives language models a curated index of the site's most important content.",
    "long_def": "Proposed by Jeremy Howard (Answer.AI) on 3 September 2024. It mirrors robots.txt in spirit but is written for ingestion rather than exclusion: a concise, linkable map that helps agents find and prioritize content. A companion llms-full.txt inlines the full content.",
    "see_also": [
      "markdown-twin",
      "agentic-web"
    ],
    "etymology_origin": "Proposed by Jeremy Howard, co-founder of Answer.AI, on 3 September 2024; specification maintained at llmstxt.org.",
    "related_to": [
      "markdown-twin",
      "robots-txt",
      "agentic-web",
      "content-negotiation"
    ],
    "contrast_with": "Unlike robots.txt, which tells crawlers what NOT to fetch (exclusion), llms.txt tells models what to read first (curation for ingestion).",
    "example": "After Mintlify rolled out llms.txt support across its hosted docs in November 2024, thousands of docs sites — including Anthropic and Cursor — adopted the file.",
    "source": "https://www.answer.ai/posts/2024-09-03-llmstxt.html",
    "status": "proposed",
    "why_it_matters": "llms.txt is one of the lowest-effort, highest-signal agent-readiness steps: a single root file that curates what models ingest from your site.",
    "sameAs": [
      "https://llmstxt.org/"
    ],
    "bridge_entity": "protocols/discovery/llms-txt",
    "last_verified": "2026-06-15",
    "md_twin": "/glossary/llms-txt.md"
  }
}