{
  "slug": "marsh-mclennan",
  "month": "2026-08",
  "status": "current",
  "themes": {
    "Inclusion": {
      "rank": 25,
      "score": 33.3
    },
    "Onboarding": {
      "rank": 12,
      "score": 33.3
    }
  },
  "company": "Marsh McLennan",
  "country": "United States",
  "history": [
    {
      "rank": 24,
      "month": "2026-01",
      "visibilityScore": 12.5
    },
    {
      "rank": 58,
      "month": "2026-02",
      "visibilityScore": 4.2
    },
    {
      "rank": 53,
      "month": "2026-03",
      "visibilityScore": 4.2
    }
  ],
  "summary": null,
  "website": "marshmclennan.com",
  "industry": "Insurance",
  "profileUrl": "https://employers.perceptionx.ai/company/marsh-mclennan",
  "lastUpdated": "2026-08-25",
  "modelScores": {
    "chatgpt": 15.4,
    "googleAi": 0,
    "perplexity": 0
  },
  "overallRank": 627,
  "industryRank": 37,
  "mentionCount": 2,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "progressive",
      "company": "Progressive",
      "visibilityScore": 69.2
    },
    {
      "rank": 2,
      "slug": "state-farm",
      "company": "State Farm",
      "visibilityScore": 66.7
    },
    {
      "rank": 3,
      "slug": "allstate",
      "company": "Allstate",
      "visibilityScore": 59
    },
    {
      "rank": 4,
      "slug": "liberty-mutual",
      "company": "Liberty Mutual",
      "visibilityScore": 51.3
    },
    {
      "rank": 5,
      "slug": "chubb",
      "company": "Chubb",
      "visibilityScore": 46.2
    }
  ],
  "otherIndustries": [
    {
      "industry": "Finance",
      "industryRank": 81,
      "visibilityScore": 2.6
    }
  ],
  "visibilityScore": 5.1,
  "totalCompaniesInCountry": 1451,
  "totalCompaniesInIndustry": 88,
  "methodology": {
    "version": "1.0",
    "url": "https://employers.perceptionx.ai/api-docs#methodology",
    "description": "Visibility Score (0-100) is the share of AI model × candidate-experience-theme combinations within an industry and country where the company was mentioned in AI-generated answers to candidate-style questions. Ranks are computed per industry and country; ties break by mention count, then company name. Responses from other assistants (e.g. Claude, DeepSeek) are collected for research but not included in index scoring.",
    "models": [
      "ChatGPT",
      "Google Gemini",
      "Perplexity"
    ]
  }
}