{
  "slug": "merck-serono",
  "month": "2026-08",
  "status": "current",
  "themes": {
    "Compensation": {
      "rank": 14,
      "score": 33.3
    },
    "Candidate Feedback": {
      "rank": 7,
      "score": 33.3
    },
    "Career Opportunities": {
      "rank": 13,
      "score": 33.3
    },
    "Interview Experience": {
      "rank": 13,
      "score": 33.3
    }
  },
  "company": "Merck Serono",
  "country": "United Kingdom",
  "history": [],
  "summary": null,
  "website": null,
  "industry": "Pharmaceutical",
  "profileUrl": "https://employers.perceptionx.ai/company/merck-serono",
  "lastUpdated": "2026-08-24",
  "modelScores": {
    "chatgpt": 30.8,
    "googleAi": 0,
    "perplexity": 0
  },
  "overallRank": 328,
  "industryRank": 14,
  "mentionCount": 4,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "astrazeneca",
      "company": "AstraZeneca",
      "visibilityScore": 89.7
    },
    {
      "rank": 2,
      "slug": "pfizer",
      "company": "Pfizer",
      "visibilityScore": 84.6
    },
    {
      "rank": 3,
      "slug": "roche",
      "company": "Roche",
      "visibilityScore": 69.2
    },
    {
      "rank": 4,
      "slug": "gsk",
      "company": "GSK",
      "visibilityScore": 56.4
    },
    {
      "rank": 5,
      "slug": "glaxosmithkline",
      "company": "Glaxosmithkline",
      "visibilityScore": 48.7
    }
  ],
  "otherIndustries": [],
  "visibilityScore": 10.3,
  "totalCompaniesInCountry": 1415,
  "totalCompaniesInIndustry": 56,
  "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"
    ]
  }
}