{
  "slug": "dabur",
  "month": "2026-03",
  "status": "current",
  "themes": {
    "Innovation": {
      "rank": 2,
      "score": 100
    },
    "Social Impact": {
      "rank": 2,
      "score": 100
    },
    "Security & Perks": {
      "rank": 2,
      "score": 100
    },
    "Mission & Purpose": {
      "rank": 3,
      "score": 100
    },
    "Career Opportunities": {
      "rank": 2,
      "score": 100
    }
  },
  "company": "Dabur",
  "country": "India",
  "history": [
    {
      "rank": 8,
      "month": "2026-02",
      "visibilityScore": 42.9
    },
    {
      "rank": 5,
      "month": "2026-03",
      "visibilityScore": 83.3
    }
  ],
  "summary": "Dabur is tracked across AI employer visibility rankings in the FMCG sector. When candidates research the company through AI, it surfaces consistently in employer-related queries — ranking #5 out of 17 FMCG companies in the PerceptionX index.\n\nAI models most frequently position Dabur alongside ITC, Nestlé, and Tata when discussing FMCG employers.\n\nThe company shows strongest employer visibility in Career Opportunities, Innovation and Mission & Purpose. Visibility gaps exist in Candidate Feedback, where competitors tend to dominate the AI narrative.\n\nDabur's Visibility Score has risen from 42.9 to 83.3 across its last 2 measurements (since February 2026), climbing 3 places in the FMCG rankings. Over that period it has moved ahead of Marico and Godrej. Tata has moved ahead of it. It now trails Unilever by 16.7 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": "dabur.com",
  "industry": "FMCG",
  "profileUrl": "https://employers.perceptionx.ai/company/dabur",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 83.3,
    "googleAi": 0,
    "perplexity": 0
  },
  "overallRank": 38,
  "industryRank": 5,
  "mentionCount": 5,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "itc",
      "company": "ITC",
      "visibilityScore": 100
    },
    {
      "rank": 2,
      "slug": "nestle",
      "company": "Nestlé",
      "visibilityScore": 100
    },
    {
      "rank": 3,
      "slug": "tata",
      "company": "Tata",
      "visibilityScore": 100
    },
    {
      "rank": 4,
      "slug": "unilever",
      "company": "Unilever",
      "visibilityScore": 100
    },
    {
      "rank": 6,
      "slug": "marico",
      "company": "Marico",
      "visibilityScore": 83.3
    }
  ],
  "otherIndustries": [
    {
      "industry": "Beauty",
      "industryRank": 13,
      "visibilityScore": 3.4
    },
    {
      "industry": "Retail",
      "industryRank": 26,
      "visibilityScore": 3.2
    }
  ],
  "visibilityScore": 83.3,
  "totalCompaniesInCountry": 617,
  "totalCompaniesInIndustry": 17,
  "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"
    ]
  }
}