{
  "slug": "apollo-tyres",
  "month": "2026-04",
  "status": "current",
  "themes": {
    "Wellbeing & Balance": {
      "rank": 1,
      "score": 66.7
    },
    "Career Opportunities": {
      "rank": 5,
      "score": 33.3
    },
    "Rewards & Recognition": {
      "rank": 1,
      "score": 66.7
    }
  },
  "company": "Apollo Tyres",
  "country": "India",
  "history": [
    {
      "rank": 25,
      "month": "2026-02",
      "visibilityScore": 4.2
    },
    {
      "rank": 11,
      "month": "2026-03",
      "visibilityScore": 12.5
    },
    {
      "rank": 10,
      "month": "2026-04",
      "visibilityScore": 10.4
    }
  ],
  "summary": "Apollo Tyres is tracked across AI employer visibility rankings in the Manufacturing & Industrial sector. When candidates research the company through AI, it surfaces consistently in employer-related queries — ranking #10 out of 53 Manufacturing & Industrial companies in the PerceptionX index.\n\nAI models most frequently position Apollo Tyres alongside Tata, Mahindra, and Larsen & Toubro when discussing Manufacturing & Industrial employers.\n\nThe company shows strongest employer visibility in Career Opportunities, Rewards & Recognition and Wellbeing & Balance. Visibility gaps exist in Application Process, Candidate Communication and Candidate Feedback, where competitors tend to dominate the AI narrative.\n\nApollo Tyres's Visibility Score has risen from 4.2 to 10.4 across its last 3 measurements (since February 2026), climbing 15 places in the Manufacturing & Industrial rankings. Over that period it has moved ahead of ITC and Abb. It now trails Amara Raja Energy & Mobility 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": "apollotyres.com",
  "industry": "Manufacturing & Industrial",
  "profileUrl": "https://employers.perceptionx.ai/company/apollo-tyres",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 0,
    "googleAi": 18.8,
    "perplexity": 12.5
  },
  "overallRank": 269,
  "industryRank": 10,
  "mentionCount": 5,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "tata",
      "company": "Tata",
      "visibilityScore": 79.2
    },
    {
      "rank": 2,
      "slug": "mahindra",
      "company": "Mahindra",
      "visibilityScore": 75
    },
    {
      "rank": 3,
      "slug": "larsen-and-toubro",
      "company": "Larsen & Toubro",
      "visibilityScore": 56.3
    },
    {
      "rank": 4,
      "slug": "schneider-electric",
      "company": "Schneider Electric",
      "visibilityScore": 25
    },
    {
      "rank": 5,
      "slug": "bosch",
      "company": "Bosch",
      "visibilityScore": 20.8
    }
  ],
  "otherIndustries": [
    {
      "industry": "Automotive",
      "industryRank": 22,
      "visibilityScore": 2.1
    }
  ],
  "visibilityScore": 10.4,
  "totalCompaniesInCountry": 617,
  "totalCompaniesInIndustry": 53,
  "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"
    ]
  }
}