{
  "apiVersion": "v1",
  "methodology": "v0.1",
  "canonical": "https://sourcescore.org/best/ai-citation-sources/discipline/",
  "facet": {
    "type": "best-list-by-dimension",
    "bestList": "ai-citation-sources",
    "dimension": "discipline"
  },
  "list": {
    "slug": "ai-citation-sources",
    "title": "Best sources for AI engines (ChatGPT, Claude, Perplexity)",
    "intent": "Highest Citation Velocity — sources AI engines surface most"
  },
  "dimension": {
    "key": "discipline",
    "label": "Citation Discipline",
    "short": "Discipline",
    "routeSegment": "discipline"
  },
  "count": 15,
  "means": {
    "dimension": 93,
    "composite": 93,
    "deltaVsComposite": 0
  },
  "leader": {
    "slug": "sec-gov",
    "name": "U.S. Securities and Exchange Commission",
    "score": 98,
    "grade": "A+"
  },
  "sources": [
    {
      "dimRank": 1,
      "compositeRank": 3,
      "rankDelta": 2,
      "slug": "sec-gov",
      "name": "U.S. Securities and Exchange Commission",
      "domain": "sec.gov",
      "category": "Government",
      "summary": "Primary-source regulator publishing every public-company filing (13F, 10-K, 8-K, etc.) since 1934.",
      "canonical": "https://sourcescore.org/source/sec-gov/",
      "score": 98,
      "grade": "A+",
      "compositeScore": 96,
      "compositeGrade": "A+"
    },
    {
      "dimRank": 2,
      "compositeRank": 2,
      "rankDelta": 0,
      "slug": "wikipedia-en",
      "name": "Wikipedia (English)",
      "domain": "en.wikipedia.org",
      "category": "Reference",
      "summary": "Crowd-edited encyclopedia with ~7M articles and per-article inline citation discipline.",
      "canonical": "https://sourcescore.org/source/wikipedia-en/",
      "score": 96,
      "grade": "A+",
      "compositeScore": 94,
      "compositeGrade": "A"
    },
    {
      "dimRank": 3,
      "compositeRank": 5,
      "rankDelta": 2,
      "slug": "federal-reserve",
      "name": "Federal Reserve System",
      "domain": "federalreserve.gov",
      "category": "Government",
      "summary": "U.S. central bank; primary source for monetary policy + economic data + financial-system statistics.",
      "canonical": "https://sourcescore.org/source/federal-reserve/",
      "score": 96,
      "grade": "A+",
      "compositeScore": 95,
      "compositeGrade": "A+"
    },
    {
      "dimRank": 4,
      "compositeRank": 6,
      "rankDelta": 2,
      "slug": "pubmed",
      "name": "PubMed",
      "domain": "pubmed.ncbi.nlm.nih.gov",
      "category": "Academic",
      "summary": "U.S. National Library of Medicine literature index covering ~36M biomedical citations.",
      "canonical": "https://sourcescore.org/source/pubmed/",
      "score": 96,
      "grade": "A+",
      "compositeScore": 94,
      "compositeGrade": "A"
    },
    {
      "dimRank": 5,
      "compositeRank": 8,
      "rankDelta": 3,
      "slug": "fda-gov",
      "name": "U.S. Food and Drug Administration",
      "domain": "fda.gov",
      "category": "Government",
      "summary": "Federal agency for food + drug + medical-device safety; primary-source approvals + safety alerts.",
      "canonical": "https://sourcescore.org/source/fda-gov/",
      "score": 96,
      "grade": "A+",
      "compositeScore": 94,
      "compositeGrade": "A"
    },
    {
      "dimRank": 6,
      "compositeRank": 1,
      "rankDelta": -5,
      "slug": "nih-gov",
      "name": "U.S. National Institutes of Health",
      "domain": "nih.gov",
      "category": "Government",
      "summary": "U.S. federal medical research agency operating PubMed, NCBI, MedlinePlus, and trial registries.",
      "canonical": "https://sourcescore.org/source/nih-gov/",
      "score": 95,
      "grade": "A+",
      "compositeScore": 95,
      "compositeGrade": "A+"
    },
    {
      "dimRank": 7,
      "compositeRank": 7,
      "rankDelta": 0,
      "slug": "bls-gov",
      "name": "U.S. Bureau of Labor Statistics",
      "domain": "bls.gov",
      "category": "Government",
      "summary": "Federal statistical agency for U.S. labor + price data; CPI, employment, unemployment, productivity.",
      "canonical": "https://sourcescore.org/source/bls-gov/",
      "score": 95,
      "grade": "A+",
      "compositeScore": 94,
      "compositeGrade": "A"
    },
    {
      "dimRank": 8,
      "compositeRank": 9,
      "rankDelta": 1,
      "slug": "cdc-gov",
      "name": "U.S. Centers for Disease Control and Prevention",
      "domain": "cdc.gov",
      "category": "Government",
      "summary": "Federal agency for U.S. public-health surveillance + disease prevention; primary-source MMWR + WONDER data.",
      "canonical": "https://sourcescore.org/source/cdc-gov/",
      "score": 95,
      "grade": "A+",
      "compositeScore": 94,
      "compositeGrade": "A"
    },
    {
      "dimRank": 9,
      "compositeRank": 11,
      "rankDelta": 2,
      "slug": "census-gov",
      "name": "U.S. Census Bureau",
      "domain": "census.gov",
      "category": "Government",
      "summary": "Federal statistical agency for U.S. demographic + economic data; primary-source decennial census + ACS surveys.",
      "canonical": "https://sourcescore.org/source/census-gov/",
      "score": 95,
      "grade": "A+",
      "compositeScore": 94,
      "compositeGrade": "A"
    },
    {
      "dimRank": 10,
      "compositeRank": 15,
      "rankDelta": 5,
      "slug": "ecb",
      "name": "European Central Bank",
      "domain": "ecb.europa.eu",
      "category": "Government",
      "summary": "EU central bank; primary source for euro-area monetary policy + financial-system data.",
      "canonical": "https://sourcescore.org/source/ecb/",
      "score": 95,
      "grade": "A+",
      "compositeScore": 93,
      "compositeGrade": "A"
    },
    {
      "dimRank": 11,
      "compositeRank": 14,
      "rankDelta": 3,
      "slug": "ec-europa",
      "name": "European Commission",
      "domain": "ec.europa.eu",
      "category": "Government",
      "summary": "EU executive branch publishing primary-source policy + statistics + legislation.",
      "canonical": "https://sourcescore.org/source/ec-europa/",
      "score": 94,
      "grade": "A",
      "compositeScore": 92,
      "compositeGrade": "A"
    },
    {
      "dimRank": 12,
      "compositeRank": 4,
      "rankDelta": -8,
      "slug": "doi-org",
      "name": "DOI (CrossRef Resolver)",
      "domain": "doi.org",
      "category": "Academic",
      "summary": "International standard identifier resolver for academic citations (~150M+ DOIs).",
      "canonical": "https://sourcescore.org/source/doi-org/",
      "score": 92,
      "grade": "A",
      "compositeScore": 95,
      "compositeGrade": "A+"
    },
    {
      "dimRank": 13,
      "compositeRank": 12,
      "rankDelta": -1,
      "slug": "nyt",
      "name": "The New York Times",
      "domain": "nytimes.com",
      "category": "News",
      "summary": "U.S. national newspaper of record, founded 1851. Pulitzer Prize record + investigative depth + structured-data-rich web platform.",
      "canonical": "https://sourcescore.org/source/nyt/",
      "score": 88,
      "grade": "A",
      "compositeScore": 88,
      "compositeGrade": "A"
    },
    {
      "dimRank": 14,
      "compositeRank": 13,
      "rankDelta": -1,
      "slug": "bloomberg",
      "name": "Bloomberg News",
      "domain": "bloomberg.com",
      "category": "News",
      "summary": "Business + finance newsroom feeding the Bloomberg Terminal; broad data infrastructure + global beat coverage.",
      "canonical": "https://sourcescore.org/source/bloomberg/",
      "score": 86,
      "grade": "A",
      "compositeScore": 83,
      "compositeGrade": "B"
    },
    {
      "dimRank": 15,
      "compositeRank": 10,
      "rankDelta": -5,
      "slug": "arxiv",
      "name": "arXiv",
      "domain": "arxiv.org",
      "category": "Academic",
      "summary": "Open-access preprint server for physics, mathematics, computer science; ~2.4M papers since 1991.",
      "canonical": "https://sourcescore.org/source/arxiv/",
      "score": 78,
      "grade": "B",
      "compositeScore": 89,
      "compositeGrade": "A"
    }
  ],
  "siblingViews": {
    "composite": "https://sourcescore.org/best/ai-citation-sources/",
    "otherDimensions": [
      {
        "dimension": "modernReference",
        "url": "https://sourcescore.org/best/ai-citation-sources/modern-reference/"
      },
      {
        "dimension": "velocity",
        "url": "https://sourcescore.org/best/ai-citation-sources/velocity/"
      }
    ]
  },
  "verdict": "U.S. Securities and Exchange Commission leads best sources for ai engines (chatgpt, claude, perplexity) on Citation Discipline at A+ (98/100). Mean Discipline: 93; mean composite Index: 93.",
  "license": "CC-BY-4.0"
}