{
  "slug": "havas",
  "month": "2026-07",
  "themes": {
    "Career Opportunities": {
      "rank": 4,
      "score": 50
    }
  },
  "company": "Havas",
  "country": "France",
  "history": [
    {
      "rank": 18,
      "month": "2026-02",
      "visibilityScore": 4.7
    },
    {
      "rank": 10,
      "month": "2026-03",
      "visibilityScore": 20
    },
    {
      "rank": 11,
      "month": "2026-04",
      "visibilityScore": 8.3
    }
  ],
  "summary": "Havas is tracked across AI employer visibility rankings in the Consulting sector. When candidates research the company through AI, it is rarely surfaced in employer-related queries — candidates researching this industry are far more likely to encounter competitors first — ranking #32 out of 39 Consulting companies in the PerceptionX index.\n\nAI models most frequently position Havas alongside Bain, Deloitte, and McKinsey & Company when discussing Consulting employers.\n\nThe company shows strongest employer visibility in Wellbeing & Balance. Visibility gaps exist in Application Process, Candidate Communication and Candidate Feedback, where competitors tend to dominate the AI narrative.\n\nThis analysis is based on AI-generated responses from ChatGPT, Claude, Gemini, and Perplexity. Data is refreshed regularly to reflect changes in AI employer perception.",
  "website": "havas.com",
  "industry": "Media & Entertainment",
  "profileUrl": "https://employers.perceptionx.ai/company/havas",
  "lastUpdated": "2026-07-29",
  "modelScores": {
    "chatgpt": 100,
    "googleAi": 6.3,
    "perplexity": 0
  },
  "overallRank": 407,
  "industryRank": 23,
  "mentionCount": 1,
  "otherIndustries": [],
  "visibilityScore": 3.1,
  "totalCompaniesInCountry": 621,
  "totalCompaniesInIndustry": 31,
  "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.",
    "models": [
      "ChatGPT",
      "Google Gemini",
      "Perplexity"
    ]
  }
}