{
  "slug": "kenvue",
  "month": "2026-07",
  "themes": {
    "Leadership": {
      "rank": 8,
      "score": 50
    },
    "Rewards & Recognition": {
      "rank": 10,
      "score": 50
    }
  },
  "company": "Kenvue",
  "country": "United States",
  "history": [
    {
      "rank": 16,
      "month": "2026-03",
      "visibilityScore": 25
    }
  ],
  "summary": "Kenvue is tracked across AI employer visibility rankings in the FMCG 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 #26 out of 49 FMCG companies in the PerceptionX index.\n\nAI models most frequently position Kenvue alongside Procter & Gamble, Pepsico, and Unilever when discussing FMCG employers.\n\nThe company shows strongest employer visibility in Leadership and Rewards & Recognition. 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": "kenvue.com",
  "industry": "FMCG",
  "profileUrl": "https://employers.perceptionx.ai/company/kenvue",
  "lastUpdated": "2026-07-29",
  "modelScores": {
    "chatgpt": 12.5,
    "googleAi": 0,
    "perplexity": 100
  },
  "overallRank": 478,
  "industryRank": 25,
  "mentionCount": 2,
  "otherIndustries": [
    {
      "industry": "Beauty",
      "industryRank": 20,
      "visibilityScore": 5.7
    }
  ],
  "visibilityScore": 6.3,
  "totalCompaniesInCountry": 944,
  "totalCompaniesInIndustry": 50,
  "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"
    ]
  }
}