{
  "kind": "fact",
  "studySlug": "llmstxt-effect",
  "slug": "government-and-academic-sites-barely-use-llms-txt",
  "title": "Government and academic sites barely use llms.txt",
  "description": "An analysis of llms.txt adoption across different sectors reveals that government and academic websites exhibit a 1.5 percent adoption rate, indicating limited uptake outside of SaaS-heavy industries.",
  "lastUpdated": "2026-03-14",
  "lastTested": "2026-03-14",
  "sourceStudyUrl": "/trakkr-research/llmstxt-effect",
  "sourceStudyTitle": "The llms.txt Effect",
  "claimIds": [
    "llmstxt-effect:gov-academic-adoption"
  ],
  "relatedSlugs": [
    "answer:do-the-raw-citation-averages-show-any-real-advantage",
    "answer:is-llms-txt-a-leading-indicator-of-ai-readiness",
    "tracker:llmstxt-adoption-by-sector-tracker"
  ],
  "methodologySummary": "Built from HTTP scans of 37,894 AI-cited domains, linked to 337,362 citations and 882 citation snapshots in the Trakkr corpus.",
  "limitations": [
    "This is an observational study. It measures correlation with citation outcomes, not a controlled experiment.",
    "Adoption is uneven by sector, so raw averages can hide category concentration in SaaS and developer tooling.",
    "A null citation effect does not mean llms.txt has zero operational value for every workflow. It means the study did not find a measurable citation lift."
  ],
  "keywords": [
    "llms.txt",
    "llms txt effect",
    "AI citations",
    "does llms.txt work"
  ],
  "schemaHints": {
    "pageType": "Article",
    "includeDataset": true
  },
  "claim": "Government and academic websites demonstrate a 1.5 percent adoption rate for the llms.txt standard.",
  "supportingMetrics": [
    {
      "label": "Government/academic adoption",
      "value": "1.5%",
      "detail": "Much lower adoption outside SaaS-heavy sectors."
    }
  ],
  "whyItMatters": "Strategists and operators should note that high domain authority and citability are currently maintained without llms.txt compliance in institutional sectors. Resource allocation for AI optimization should prioritize SaaS and technical documentation environments over government or academic platforms where standard adoption remains negligible.",
  "citationBlock": {
    "quote": "Government and academic sites show only 1.5% llms.txt adoption in the study.",
    "attribution": "The llms.txt Effect - Trakkr Research",
    "url": "https://trakkr.ai/trakkr-research/llmstxt-effect/facts/government-and-academic-sites-barely-use-llms-txt"
  }
}