{
  "kind": "answer",
  "studySlug": "citation-sources",
  "slug": "what-should-a-brand-prioritize-after-reading-the-source-data",
  "title": "What should a brand prioritize after reading the source data?",
  "description": "Start by mapping which domains recur for the brand’s tracked prompts, then separate observed source gaps from assumptions. The public index is a benchmark, not proof that one source strategy causes visibility.",
  "lastUpdated": "2026-10-14",
  "lastTested": "2026-10-14",
  "sourceStudyUrl": "/trakkr-research/citation-sources",
  "sourceStudyTitle": "AI Citation Index",
  "claimIds": [
    "citation-sources:reference-share",
    "citation-sources:social-share",
    "citation-sources:reviews-share",
    "citation-sources:brands-analyzed"
  ],
  "relatedSlugs": [
    "answer:does-raw-domain-count-matter-more-than-repeat-cited-authority",
    "answer:which-sources-dominate-ai-citations",
    "fact:reference-sites-are-the-clearest-named-source-family",
    "tracker:source-category-share-tracker"
  ],
  "methodologySummary": "Built from 80,769,585 citation appearances across 725,777 unique domains in the latest valid snapshot for 1,928 tracked brands, observed from October 3, 2025 to October 14, 2026.",
  "limitations": [
    "The index is a changing panel of tracked brands and prompts, not a random sample of all AI responses.",
    "Domain share is observational. It does not establish causal influence or reveal the full retrieval set.",
    "The hand-maintained source taxonomy is partial: 88.40% of citation appearances remain in “other”.",
    "Model attribution, response-level citation denominators, geography, raw prompts, and raw responses are not retained in the public aggregate."
  ],
  "keywords": [
    "AI citations",
    "citation sources",
    "AI source preferences",
    "domain authority in AI",
    "AI citation strategy",
    "AI source strategy"
  ],
  "schemaHints": {
    "pageType": "Article",
    "includeDataset": true
  },
  "question": "What should a brand prioritize after reading the source data?",
  "directAnswer": "Start by mapping which domains recur for the brand’s tracked prompts, then separate observed source gaps from assumptions. The public index is a benchmark, not proof that one source strategy causes visibility.",
  "answerSummary": "Prioritize repeat observations in your own prompt set and validate any intervention against later responses.",
  "keyFacts": [
    {
      "label": "Reference category share",
      "value": "1.48%",
      "detail": "Partial hand-maintained source classification.",
      "claimId": "citation-sources:reference-share"
    },
    {
      "label": "Social category share",
      "value": "6.11%",
      "detail": "Social is the largest named category, led by YouTube, Reddit, and LinkedIn.",
      "claimId": "citation-sources:social-share"
    },
    {
      "label": "Review category share",
      "value": "1.11%",
      "detail": "Partial hand-maintained source classification.",
      "claimId": "citation-sources:reviews-share"
    },
    {
      "label": "Tracked brands",
      "value": "1,928",
      "detail": "Current brand-snapshot coverage.",
      "claimId": "citation-sources:brands-analyzed"
    }
  ],
  "evidenceTable": [
    {
      "label": "Reference category share",
      "value": "1.48%",
      "note": "Partial hand-maintained source classification."
    },
    {
      "label": "Social category share",
      "value": "6.11%",
      "note": "Social is the largest named category, led by YouTube, Reddit, and LinkedIn."
    },
    {
      "label": "Review category share",
      "value": "1.11%",
      "note": "Partial hand-maintained source classification."
    },
    {
      "label": "Tracked brands",
      "value": "1,928",
      "note": "Current brand-snapshot coverage."
    }
  ],
  "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": [
    "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, not as noise."
  ],
  "faqs": [
    {
      "question": "What should a brand prioritize after reading the source data?",
      "answer": "Start by mapping which domains recur for the brand’s tracked prompts, then separate observed source gaps from assumptions. The public index is a benchmark, not proof that one source strategy causes visibility."
    },
    {
      "question": "Which numbers from AI Citation Index matter most here?",
      "answer": "Reference category share: 1.48%. Partial hand-maintained source classification. Social category share: 6.11%. Social is the largest named category, led by YouTube, Reddit, and LinkedIn."
    },
    {
      "question": "What should a team do next?",
      "answer": "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, not as noise."
    }
  ]
}