{
  "kind": "answer",
  "studySlug": "llmstxt-effect",
  "slug": "do-the-raw-citation-averages-show-any-real-advantage",
  "title": "Do the raw citation averages show any real advantage?",
  "description": "No meaningful one. Average citations are 6.8 with llms.txt and 6.7 without it, which is functionally flat in a study this size.",
  "lastUpdated": "2026-03-14",
  "lastTested": "2026-03-14",
  "sourceStudyUrl": "/trakkr-research/llmstxt-effect",
  "sourceStudyTitle": "The llms.txt Effect",
  "claimIds": [
    "llmstxt-effect:avg-with",
    "llmstxt-effect:avg-without",
    "llmstxt-effect:p-value"
  ],
  "relatedSlugs": [
    "answer:is-llms-txt-a-leading-indicator-of-ai-readiness",
    "answer:what-is-the-best-way-to-read-the-null-result",
    "fact:government-and-academic-sites-barely-use-llms-txt",
    "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",
    "raw averages llms.txt",
    "llms.txt averages"
  ],
  "schemaHints": {
    "pageType": "Article",
    "includeDataset": true
  },
  "question": "Do the raw citation averages show any real advantage?",
  "directAnswer": "No meaningful one. Average citations are 6.8 with llms.txt and 6.7 without it, which is functionally flat in a study this size.",
  "answerSummary": "The small difference is exactly why the significance test stays non-significant.",
  "keyFacts": [
    {
      "label": "Average citations with llms.txt",
      "value": "6.8",
      "detail": "Mean citations for domains with llms.txt.",
      "claimId": "llmstxt-effect:avg-with"
    },
    {
      "label": "Average citations without llms.txt",
      "value": "6.7",
      "detail": "Mean citations for domains without llms.txt.",
      "claimId": "llmstxt-effect:avg-without"
    },
    {
      "label": "Mann-Whitney p-value",
      "value": "0.85",
      "detail": "No statistically significant citation effect detected.",
      "claimId": "llmstxt-effect:p-value"
    }
  ],
  "evidenceTable": [
    {
      "label": "Average citations with llms.txt",
      "value": "6.8",
      "note": "Mean citations for domains with llms.txt."
    },
    {
      "label": "Average citations without llms.txt",
      "value": "6.7",
      "note": "Mean citations for domains without llms.txt."
    },
    {
      "label": "Mann-Whitney p-value",
      "value": "0.85",
      "note": "No statistically significant citation effect detected."
    }
  ],
  "whyItMatters": "This answer matters because it turns a study finding into an operating rule teams can use when they decide what to publish, refresh, or measure next.",
  "whatToDo": [
    "Treat llms.txt as an optional housekeeping file, not a primary citation-growth lever.",
    "Prioritize answer quality, source coverage, and page structure before spending disproportionate effort on llms.txt.",
    "If you do publish llms.txt, measure discovery and crawl behavior directly instead of assuming it improved citation performance."
  ],
  "faqs": [
    {
      "question": "Do the raw citation averages show any real advantage?",
      "answer": "No meaningful one. Average citations are 6.8 with llms.txt and 6.7 without it, which is functionally flat in a study this size."
    },
    {
      "question": "Which numbers from The llms.txt Effect matter most here?",
      "answer": "Average citations with llms.txt: 6.8. Mean citations for domains with llms.txt. Average citations without llms.txt: 6.7. Mean citations for domains without llms.txt."
    },
    {
      "question": "What should a team do next?",
      "answer": "Treat llms.txt as an optional housekeeping file, not a primary citation-growth lever. Prioritize answer quality, source coverage, and page structure before spending disproportionate effort on llms.txt. If you do publish llms.txt, measure discovery and crawl behavior directly instead of assuming it improved citation performance."
    }
  ]
}