{
  "name": "100 GEO audits — dataset",
  "description": "Aggregate findings from 100 manual Generative Engine Optimization audits run by 009 Agency between April and July 2026. One fixed protocol: live buyer prompts run through six AI engines, every answer logged with its sources.",
  "url": "https://009.agency/guide/",
  "publisher": "009 Agency",
  "datePublished": "2026-07-17",
  "dateModified": "2026-08-19",
  "license": "https://009.agency/license.xml",
  "licenseSummary": "Free to reuse with attribution to 009 Agency.",
  "sampleSize": 100,
  "measurementPeriod": {
    "start": "2026-04",
    "end": "2026-07"
  },
  "engines": [
    "ChatGPT",
    "Claude",
    "Gemini",
    "Perplexity",
    "Grok",
    "DeepSeek"
  ],
  "data": {
    "headline": [
      {
        "metric": "average_health_score",
        "value": 35,
        "unit": "score_0_100",
        "note": "Average GEO health score across the market"
      },
      {
        "metric": "branded_recall",
        "value": 93,
        "unit": "percent",
        "note": "Brands AI knows and describes accurately"
      },
      {
        "metric": "recommendation_share",
        "value": 4.5,
        "unit": "percent",
        "note": "Category answers where the brand is actually named"
      },
      {
        "metric": "known_never_recommended",
        "value": 87,
        "unit": "count_of_100",
        "note": "AI knows exactly who they are and recommends someone else"
      },
      {
        "metric": "scoring_35_or_lower",
        "value": 58,
        "unit": "percent",
        "note": "Share of audited businesses scoring 35/100 or lower"
      },
      {
        "metric": "scoring_above_60",
        "value": 0,
        "unit": "percent",
        "note": "Not one audited business crossed 60"
      }
    ],
    "score_distribution": [
      {
        "metric": "band_0_20",
        "value": 8,
        "unit": "percent_of_sample"
      },
      {
        "metric": "band_21_35",
        "value": 50,
        "unit": "percent_of_sample"
      },
      {
        "metric": "band_36_50",
        "value": 34,
        "unit": "percent_of_sample"
      },
      {
        "metric": "band_51_60",
        "value": 8,
        "unit": "percent_of_sample"
      },
      {
        "metric": "band_above_60",
        "value": 0,
        "unit": "percent_of_sample"
      }
    ],
    "failure_frequency": [
      {
        "metric": "absent_from_ai_answers",
        "value": 100,
        "unit": "percent_of_audits",
        "note": "Approximate; absent from AI answers in its own category"
      },
      {
        "metric": "no_schema_markup",
        "value": 94,
        "unit": "percent_of_audits",
        "note": "No machine-readable structured data"
      },
      {
        "metric": "anonymous_business",
        "value": 89,
        "unit": "percent_of_audits",
        "note": "No about/team pages or article authors"
      },
      {
        "metric": "llms_txt_missing_or_404",
        "value": 87,
        "unit": "percent_of_audits"
      },
      {
        "metric": "site_unreadable_to_ai_crawlers",
        "value": 50,
        "unit": "percent_of_audits",
        "note": "JS-only rendering / 403 / page weight"
      }
    ],
    "niche_web3_crypto": [
      {
        "metric": "average_health_score",
        "value": 37,
        "unit": "score_0_100",
        "scope": "web3_crypto"
      },
      {
        "metric": "branded_recall",
        "value": 100,
        "unit": "percent",
        "scope": "web3_crypto",
        "note": "Approximate; AI knows nearly every brand"
      },
      {
        "metric": "wikidata_or_wikipedia_presence",
        "value": 0,
        "unit": "count",
        "scope": "web3_crypto",
        "note": "None of the audited brands"
      },
      {
        "metric": "llms_txt_present",
        "value": 20,
        "unit": "percent",
        "scope": "web3_crypto",
        "note": "Approximate; best of any niche and still a failure"
      },
      {
        "metric": "typical_organic_traffic",
        "value": 10,
        "unit": "visits_per_month",
        "valueMax": 200,
        "scope": "web3_crypto"
      }
    ],
    "niche_igaming": [
      {
        "metric": "average_health_score",
        "value": 24,
        "unit": "score_0_100",
        "scope": "igaming",
        "note": "The market's worst"
      },
      {
        "metric": "category_recall",
        "value": 0,
        "unit": "count_of_10_prompts",
        "scope": "igaming"
      },
      {
        "metric": "negative_ai_tone",
        "value": 2,
        "unit": "count_of_3_brands",
        "scope": "igaming",
        "note": "AI describes the brand as high-risk or possible scam"
      },
      {
        "metric": "ai_crawlers_blocked",
        "value": 2,
        "unit": "count_of_3_brands",
        "scope": "igaming",
        "note": "403 or client-side rendering"
      }
    ],
    "niche_agencies_b2b": [
      {
        "metric": "average_health_score",
        "value": 28,
        "unit": "score_0_100",
        "valueMax": 45,
        "scope": "agencies_b2b",
        "note": "Range across audited brands"
      },
      {
        "metric": "category_recall",
        "value": 0,
        "unit": "count_of_13_prompts",
        "scope": "agencies_b2b"
      }
    ]
  }
}