{
  "slug": "co-op",
  "month": "2026-07",
  "themes": {
    "Mission & Purpose": {
      "rank": 3,
      "score": 50
    },
    "Application Process": {
      "rank": 2,
      "score": 50
    },
    "Wellbeing & Balance": {
      "rank": 1,
      "score": 50
    }
  },
  "company": "Co-op",
  "country": "United Kingdom",
  "history": [
    {
      "rank": 13,
      "month": "2026-02",
      "visibilityScore": 12.8
    },
    {
      "rank": 24,
      "month": "2026-04",
      "visibilityScore": 3.1
    }
  ],
  "summary": "Co-Op is tracked across AI employer visibility rankings in the Retail sector. When candidates research the company through AI, it surfaces consistently in employer-related queries — ranking #15 out of 60 Retail companies in the PerceptionX index.\n\nAI models most frequently position Co-Op alongside Tesco, Ikea, and Marks & Spencer when discussing Retail employers.\n\nThe company shows strongest employer visibility in Application Process, Mission & Purpose and Wellbeing & Balance. Visibility gaps exist in Candidate Communication, Candidate Feedback and Career Opportunities, 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": "coop.com",
  "industry": "Retail",
  "profileUrl": "https://employers.perceptionx.ai/company/co-op",
  "lastUpdated": "2026-07-29",
  "modelScores": {
    "chatgpt": 100,
    "googleAi": 6.3,
    "perplexity": 12.5
  },
  "overallRank": 253,
  "industryRank": 15,
  "mentionCount": 3,
  "otherIndustries": [],
  "visibilityScore": 9.4,
  "totalCompaniesInCountry": 780,
  "totalCompaniesInIndustry": 61,
  "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"
    ]
  }
}