{
  "slug": "ultratech-cement",
  "month": "2026-04",
  "status": "current",
  "themes": {
    "Social Impact": {
      "rank": 4,
      "score": 66.7
    }
  },
  "company": "Ultratech Cement",
  "country": "India",
  "history": [
    {
      "rank": 46,
      "month": "2026-02",
      "visibilityScore": 4.2
    },
    {
      "rank": 20,
      "month": "2026-03",
      "visibilityScore": 8.3
    },
    {
      "rank": 22,
      "month": "2026-04",
      "visibilityScore": 4.2
    }
  ],
  "summary": "Ultratech Cement is tracked across AI employer visibility rankings in the Manufacturing & Industrial sector. When candidates research the company through AI, it appears in a moderate share of employer-related queries — ranking #22 out of 53 Manufacturing & Industrial companies in the PerceptionX index.\n\nAI models most frequently position Ultratech Cement alongside Tata, Mahindra, and Larsen & Toubro when discussing Manufacturing & Industrial employers.\n\nThe company shows strongest employer visibility in Social Impact. Visibility gaps exist in Application Process, Candidate Communication and Candidate Feedback, where competitors tend to dominate the AI narrative.\n\nUltratech Cement's Visibility Score has held steady at 4.2 across its last 3 measurements (since February 2026), climbing 24 places in the Manufacturing & Industrial rankings. Over that period it has moved ahead of Ambuja Cement and Bajaj Energy. Uno Minda has moved ahead of it. It now trails V-guard 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": "ultratechcement.com",
  "industry": "Manufacturing & Industrial",
  "profileUrl": "https://employers.perceptionx.ai/company/ultratech-cement",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 6.3,
    "googleAi": 6.3,
    "perplexity": 0
  },
  "overallRank": 399,
  "industryRank": 22,
  "mentionCount": 2,
  "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": [],
  "visibilityScore": 4.2,
  "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"
    ]
  }
}