{
  "slug": "bajaj-auto",
  "month": "2026-04",
  "status": "current",
  "themes": {
    "Innovation": {
      "rank": 4,
      "score": 33.3
    },
    "Leadership": {
      "rank": 1,
      "score": 100
    },
    "Social Impact": {
      "rank": 7,
      "score": 33.3
    },
    "Mission & Purpose": {
      "rank": 4,
      "score": 33.3
    },
    "Rewards & Recognition": {
      "rank": 5,
      "score": 33.3
    }
  },
  "company": "Bajaj Auto",
  "country": "India",
  "history": [
    {
      "rank": 7,
      "month": "2026-02",
      "visibilityScore": 24.4
    },
    {
      "rank": 8,
      "month": "2026-03",
      "visibilityScore": 33.3
    },
    {
      "rank": 8,
      "month": "2026-04",
      "visibilityScore": 16.7
    }
  ],
  "summary": "Bajaj Auto is tracked across AI employer visibility rankings in the Automotive sector. When candidates research the company through AI, it surfaces consistently in employer-related queries — ranking #8 out of 30 Automotive companies in the PerceptionX index.\n\nAI models most frequently position Bajaj Auto alongside Tata, Mahindra, and Suzuki when discussing Automotive employers.\n\nThe company shows strongest employer visibility in Innovation, Leadership and Mission & Purpose. Visibility gaps exist in Application Process, Candidate Communication and Candidate Feedback, where competitors tend to dominate the AI narrative.\n\nBajaj Auto's Visibility Score has fallen from 24.4 to 16.7 across its last 3 measurements (since February 2026), slipping 1 place in the Automotive rankings. Ashok Leyland has moved ahead of it. It now trails Bosch by 12.5 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": "bajajauto.com",
  "industry": "Automotive",
  "profileUrl": "https://employers.perceptionx.ai/company/bajaj-auto",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 6.3,
    "googleAi": 31.3,
    "perplexity": 12.5
  },
  "overallRank": 208,
  "industryRank": 8,
  "mentionCount": 8,
  "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": "Manufacturing & Industrial",
      "industryRank": 16,
      "visibilityScore": 4.2
    }
  ],
  "visibilityScore": 16.7,
  "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"
    ]
  }
}