{
  "slug": "pernod-ricard",
  "month": "2026-09",
  "status": "current",
  "themes": {
    "Inclusion": {
      "rank": 12,
      "score": 33.3
    },
    "Innovation": {
      "rank": 15,
      "score": 33.3
    },
    "Leadership": {
      "rank": 2,
      "score": 100
    },
    "Onboarding": {
      "rank": 13,
      "score": 33.3
    },
    "Compensation": {
      "rank": 5,
      "score": 66.7
    },
    "Job Security": {
      "rank": 13,
      "score": 33.3
    },
    "Candidate Feedback": {
      "rank": 5,
      "score": 66.7
    },
    "Wellbeing & Balance": {
      "rank": 13,
      "score": 33.3
    },
    "Career Opportunities": {
      "rank": 14,
      "score": 33.3
    },
    "Interview Experience": {
      "rank": 5,
      "score": 66.7
    },
    "Mission, Purpose & Impact": {
      "rank": 3,
      "score": 66.7
    }
  },
  "company": "Pernod Ricard",
  "country": "France",
  "history": [
    {
      "rank": 6,
      "month": "2026-02",
      "visibilityScore": 28.9
    },
    {
      "rank": 11,
      "month": "2026-03",
      "visibilityScore": 33.3
    }
  ],
  "summary": "Pernod Ricard is tracked across AI employer visibility rankings in the FMCG sector. When candidates research the company through AI, it appears frequently in employer-related queries — ranking #6 out of 58 FMCG companies in the PerceptionX index.\n\nAI models most frequently position Pernod Ricard alongside Danone, L'Oréal, and Nestlé when discussing FMCG employers.\n\nThe company shows strongest employer visibility in Candidate Feedback, Career Opportunities and Compensation. Visibility gaps exist in Application & Communication and Company Culture, where competitors tend to dominate the AI narrative.\n\nPernod Ricard's Visibility Score has risen from 28.9 to 43.6 across its last 3 measurements (since February 2026). It now trails Unilever by 17.9 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": "pernodricard.com",
  "industry": "FMCG",
  "profileUrl": "https://employers.perceptionx.ai/company/pernod-ricard",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 15.4,
    "googleAi": 46.2,
    "perplexity": 69.2
  },
  "overallRank": 90,
  "industryRank": 6,
  "mentionCount": 17,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "danone",
      "company": "Danone",
      "visibilityScore": 89.7
    },
    {
      "rank": 2,
      "slug": "loreal",
      "company": "L'Oréal",
      "visibilityScore": 82.1
    },
    {
      "rank": 3,
      "slug": "nestle",
      "company": "Nestlé",
      "visibilityScore": 82.1
    },
    {
      "rank": 4,
      "slug": "unilever",
      "company": "Unilever",
      "visibilityScore": 61.5
    },
    {
      "rank": 5,
      "slug": "mars",
      "company": "Mars",
      "visibilityScore": 43.6
    }
  ],
  "otherIndustries": [],
  "visibilityScore": 43.6,
  "totalCompaniesInCountry": 1140,
  "totalCompaniesInIndustry": 58,
  "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"
    ]
  }
}