{
  "kind": "answer",
  "studySlug": "citation-sources",
  "slug": "what-source-categories-show-up-most-in-ai-answers",
  "title": "What source categories show up most in AI answers?",
  "description": "Reference and social are the clearest named categories, while the long tail still absorbs most citations.",
  "lastUpdated": "2026-04-17",
  "lastTested": "2026-04-17",
  "sourceStudyUrl": "/trakkr-research/citation-sources",
  "sourceStudyTitle": "Where AI Gets Its Answers",
  "claimIds": [
    "citation-sources:reference-share",
    "citation-sources:social-share",
    "citation-sources:reviews-share",
    "citation-sources:docs-share",
    "citation-sources:other-share"
  ],
  "relatedSlugs": [
    "answer:do-brands-need-third-party-sources-to-win-ai-citations",
    "answer:what-should-a-brand-prioritize-after-reading-the-source-data",
    "fact:wikipedia-leads-the-current-citation-index",
    "tracker:source-category-share-tracker"
  ],
  "methodologySummary": "Built from the live citation index backing Trakkr Research, using 8,777,687 citations across 208,567 unique domains observed between October 3, 2025 and April 17, 2026.",
  "limitations": [
    "The live citation index is broader than the original December 2025 launch study, so percentages here should be read as the current benchmark.",
    "Domain share does not mean causal influence. It measures what models cited, not the full retrieval set.",
    "Category totals are domain-level rollups and may hide differences by model or query intent."
  ],
  "keywords": [
    "AI citations",
    "citation sources",
    "AI source preferences",
    "domain authority in AI",
    "AI citation categories",
    "source category mix"
  ],
  "schemaHints": {
    "pageType": "Article",
    "includeDataset": true
  },
  "question": "What source categories show up most in AI answers?",
  "directAnswer": "Mostly, the long tail absorbs citations at 84.51%, while reference and social are the clearest named categories. Reference sources hold 6.75%, social holds 3.82%, reviews hold 0.89%, and docs hold 0.20%.",
  "answerSummary": "Different categories matter for different query shapes, meaning source planning should follow intent rather than a single universal template.",
  "keyFacts": [
    {
      "label": "Reference category share",
      "value": "6.75%",
      "detail": "Reference sites are the largest named category in the current index.",
      "claimId": "citation-sources:reference-share"
    },
    {
      "label": "Social category share",
      "value": "3.82%",
      "detail": "Social sources matter materially, led by YouTube, Reddit, and LinkedIn.",
      "claimId": "citation-sources:social-share"
    },
    {
      "label": "Review category share",
      "value": "0.89%",
      "detail": "Reviews are smaller in raw share but disproportionately commercial.",
      "claimId": "citation-sources:reviews-share"
    },
    {
      "label": "Docs category share",
      "value": "0.20%",
      "detail": "Docs are cited less often overall, but they show up in technical query classes.",
      "claimId": "citation-sources:docs-share"
    }
  ],
  "evidenceTable": [
    {
      "label": "Reference category share",
      "value": "6.75%",
      "note": "Reference sites are the largest named category in the current index."
    },
    {
      "label": "Social category share",
      "value": "3.82%",
      "note": "Social sources matter materially, led by YouTube, Reddit, and LinkedIn."
    },
    {
      "label": "Review category share",
      "value": "0.89%",
      "note": "Reviews are smaller in raw share but disproportionately commercial."
    },
    {
      "label": "Docs category share",
      "value": "0.20%",
      "note": "Docs are cited less often overall, but they show up in technical query classes."
    },
    {
      "label": "Long-tail share",
      "value": "84.51%",
      "note": "Most citations are spread across a very large long tail of domains."
    }
  ],
  "whyItMatters": "Operators must allocate resources based on category share to determine what content types to publish, refresh, or measure next for optimal AI visibility.",
  "whatToDo": [
    "Audit the domains that already dominate your category and decide which ones are realistic citation targets.",
    "Build source-worthy pages for the query shapes where AI is already citing third parties.",
    "Treat reference, review, and social sources as part of your AI visibility surface rather than noise."
  ],
  "faqs": [
    {
      "question": "How much of the citation share belongs to the long tail?",
      "answer": "Most citations are spread across a very large long tail of domains, accounting for 84.51% of the total share."
    },
    {
      "question": "Which named category receives the highest citation share?",
      "answer": "Reference sites are the largest named category in the current index, holding a 6.75% share."
    },
    {
      "question": "Are review sites significant despite their low overall share?",
      "answer": "Reviews hold a 0.89% share, which is smaller in raw share but disproportionately commercial."
    }
  ]
}