{
  "slug": "royal-enfield",
  "month": "2026-04",
  "status": "current",
  "themes": {
    "Company Culture": {
      "rank": 8,
      "score": 33.3
    },
    "Wellbeing & Balance": {
      "rank": 12,
      "score": 33.3
    },
    "Onboarding Experience": {
      "rank": 11,
      "score": 33.3
    }
  },
  "company": "Royal Enfield",
  "country": "India",
  "history": [
    {
      "rank": 43,
      "month": "2026-02",
      "visibilityScore": 2.2
    },
    {
      "rank": 12,
      "month": "2026-03",
      "visibilityScore": 33.3
    },
    {
      "rank": 15,
      "month": "2026-04",
      "visibilityScore": 8.3
    }
  ],
  "summary": "Royal Enfield is tracked across AI employer visibility rankings in the Automotive sector. When candidates research the company through AI, it appears in a moderate share of employer-related queries — ranking #15 out of 30 Automotive companies in the PerceptionX index.\n\nAI models most frequently position Royal Enfield alongside Tata, Mahindra, and Suzuki when discussing Automotive employers.\n\nThe company shows strongest employer visibility in Company Culture, Onboarding Experience and Wellbeing & Balance. Visibility gaps exist in Application Process, Candidate Communication and Candidate Feedback, where competitors tend to dominate the AI narrative.\n\nRoyal Enfield's Visibility Score has risen from 2.2 to 8.3 across its last 3 measurements (since February 2026), climbing 28 places in the Automotive rankings. Over that period it has moved ahead of Eicher Motors and Kia. It now trails Uno Minda by 2.1 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": "royalenfield.com",
  "industry": "Automotive",
  "profileUrl": "https://employers.perceptionx.ai/company/royal-enfield",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 0,
    "googleAi": 25,
    "perplexity": 0
  },
  "overallRank": 308,
  "industryRank": 15,
  "mentionCount": 4,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "tata",
      "company": "Tata",
      "visibilityScore": 85.4
    },
    {
      "rank": 2,
      "slug": "mahindra",
      "company": "Mahindra",
      "visibilityScore": 79.2
    },
    {
      "rank": 3,
      "slug": "suzuki",
      "company": "Suzuki",
      "visibilityScore": 56.3
    },
    {
      "rank": 4,
      "slug": "hyundai",
      "company": "Hyundai",
      "visibilityScore": 47.9
    },
    {
      "rank": 5,
      "slug": "toyota",
      "company": "Toyota",
      "visibilityScore": 37.5
    }
  ],
  "otherIndustries": [
    {
      "industry": "Logistics",
      "industryRank": 33,
      "visibilityScore": 2.2
    }
  ],
  "visibilityScore": 8.3,
  "totalCompaniesInCountry": 617,
  "totalCompaniesInIndustry": 30,
  "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"
    ]
  }
}