{
  "slug": "bearingpoint",
  "month": "2026-09",
  "status": "current",
  "themes": {
    "Innovation": {
      "rank": 4,
      "score": 66.7
    },
    "Compensation": {
      "rank": 14,
      "score": 33.3
    },
    "Job Security": {
      "rank": 11,
      "score": 33.3
    },
    "Company Culture": {
      "rank": 2,
      "score": 66.7
    },
    "Wellbeing & Balance": {
      "rank": 8,
      "score": 33.3
    },
    "Career Opportunities": {
      "rank": 12,
      "score": 33.3
    },
    "Mission, Purpose & Impact": {
      "rank": 11,
      "score": 33.3
    }
  },
  "company": "Bearingpoint",
  "country": "Germany",
  "history": [
    {
      "rank": 15,
      "month": "2026-02",
      "visibilityScore": 11.4
    }
  ],
  "summary": "Bearingpoint is tracked across AI employer visibility rankings in the Consulting sector. When candidates research the company through AI, it appears in a moderate share of employer-related queries — ranking #13 out of 40 Consulting companies in the PerceptionX index.\n\nAI models most frequently position Bearingpoint alongside Bain & Company, McKinsey, and PwC when discussing Consulting employers.\n\nThe company shows strongest employer visibility in Career Opportunities, Company Culture and Compensation. Visibility gaps exist in Application & Communication, Candidate Feedback and Inclusion, where competitors tend to dominate the AI narrative.\n\nBearingpoint's Visibility Score has risen from 11.4 to 23.1 across its last 2 measurements (since February 2026), climbing 2 places in the Consulting rankings. Over that period it has moved ahead of Kearney. It now trails BCG by 2.5 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": "bearingpoint.com",
  "industry": "Consulting",
  "profileUrl": "https://employers.perceptionx.ai/company/bearingpoint",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 38.5,
    "googleAi": 30.8,
    "perplexity": 0
  },
  "overallRank": 140,
  "industryRank": 13,
  "mentionCount": 9,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "bain-and-company",
      "company": "Bain & Company",
      "visibilityScore": 87.2
    },
    {
      "rank": 2,
      "slug": "mckinsey",
      "company": "McKinsey",
      "visibilityScore": 87.2
    },
    {
      "rank": 3,
      "slug": "pwc",
      "company": "PwC",
      "visibilityScore": 69.2
    },
    {
      "rank": 4,
      "slug": "roland-berger",
      "company": "Roland Berger",
      "visibilityScore": 66.7
    },
    {
      "rank": 5,
      "slug": "boston",
      "company": "Boston",
      "visibilityScore": 64.1
    }
  ],
  "otherIndustries": [
    {
      "industry": "Artificial Intelligence",
      "industryRank": 21,
      "visibilityScore": 5.3
    }
  ],
  "visibilityScore": 23.1,
  "totalCompaniesInCountry": 1336,
  "totalCompaniesInIndustry": 40,
  "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"
    ]
  }
}