{
  "slug": "v-guard-industries",
  "month": "2026-04",
  "themes": {
    "Wellbeing & Balance": {
      "rank": 10,
      "score": 33.3
    },
    "Onboarding Experience": {
      "rank": 16,
      "score": 33.3
    }
  },
  "company": "V-guard Industries",
  "country": "India",
  "history": [
    {
      "rank": 23,
      "month": "2026-04",
      "visibilityScore": 4.2
    }
  ],
  "summary": "V-Guard Industries 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 #16 out of 52 Manufacturing & Industrial companies in the PerceptionX index.\n\nAI models most frequently position V-Guard Industries alongside TATA, Mahindra, and Larsen & Toubro when discussing Manufacturing & Industrial employers.\n\nThe company shows strongest employer visibility in 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\nThis analysis is based on AI-generated responses from ChatGPT, Claude, Gemini, and Perplexity. Data is refreshed regularly to reflect changes in AI employer perception.",
  "website": "vguardindustries.com",
  "industry": "Manufacturing & Industrial",
  "profileUrl": "https://employers.perceptionx.ai/company/v-guard-industries",
  "lastUpdated": "2026-07-29",
  "modelScores": {
    "chatgpt": 0,
    "googleAi": 12.5,
    "perplexity": 0
  },
  "overallRank": 389,
  "industryRank": 23,
  "mentionCount": 2,
  "otherIndustries": [],
  "visibilityScore": 4.2,
  "totalCompaniesInCountry": 585,
  "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.",
    "models": [
      "ChatGPT",
      "Google Gemini",
      "Perplexity"
    ]
  }
}