{
  "slug": "mazars",
  "month": "2026-08",
  "status": "current",
  "themes": {
    "Innovation": {
      "rank": 10,
      "score": 33.3
    },
    "Wellbeing & Balance": {
      "rank": 7,
      "score": 66.7
    }
  },
  "company": "Mazars",
  "country": "France",
  "history": [
    {
      "rank": 30,
      "month": "2026-02",
      "visibilityScore": 2.3
    }
  ],
  "summary": "Mazars is tracked across AI employer visibility rankings in the Consulting sector. When candidates research the company through AI, it appears in a moderate share of employer-related queries — ranking #17 out of 42 Consulting companies in the PerceptionX index.\n\nAI models most frequently position Mazars alongside Accenture, Bain & Company, and McKinsey when discussing Consulting employers.\n\nThe company shows strongest employer visibility in Innovation and Wellbeing & Balance. Visibility gaps exist in Application & Communication, Candidate Feedback and Career Opportunities, where competitors tend to dominate the AI narrative.\n\nMazars's Visibility Score has risen from 2.3 to 7.7 across its last 2 measurements (since February 2026), climbing 13 places in the Consulting rankings. Over that period it has moved ahead of IBM and Arthur D. Little. It now trails Bearingpoint by 5.1 points.\n\nThis analysis is based on AI-generated responses from ChatGPT, Google Gemini, and Perplexity. Data is refreshed regularly to reflect changes in AI employer perception.",
  "website": "mazars.com",
  "industry": "Consulting",
  "profileUrl": "https://employers.perceptionx.ai/company/mazars",
  "lastUpdated": "2026-08-13",
  "modelScores": {
    "chatgpt": 15.4,
    "googleAi": 0,
    "perplexity": 7.7
  },
  "overallRank": 362,
  "industryRank": 17,
  "mentionCount": 3,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "accenture",
      "company": "Accenture",
      "visibilityScore": 74.4
    },
    {
      "rank": 2,
      "slug": "bain-and-company",
      "company": "Bain & Company",
      "visibilityScore": 74.4
    },
    {
      "rank": 3,
      "slug": "mckinsey",
      "company": "McKinsey",
      "visibilityScore": 74.4
    },
    {
      "rank": 4,
      "slug": "capgemini",
      "company": "Capgemini",
      "visibilityScore": 56.4
    },
    {
      "rank": 5,
      "slug": "pwc",
      "company": "PwC",
      "visibilityScore": 56.4
    }
  ],
  "otherIndustries": [
    {
      "industry": "Finance",
      "industryRank": 69,
      "visibilityScore": 2.6
    }
  ],
  "visibilityScore": 7.7,
  "totalCompaniesInCountry": 1132,
  "totalCompaniesInIndustry": 42,
  "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"
    ]
  }
}