{
  "slug": "aam",
  "month": "2026-04",
  "status": "current",
  "themes": {
    "Mission & Purpose": {
      "rank": 7,
      "score": 33.3
    },
    "Candidate Feedback": {
      "rank": 3,
      "score": 33.3
    },
    "Application Process": {
      "rank": 9,
      "score": 33.3
    },
    "Wellbeing & Balance": {
      "rank": 4,
      "score": 33.3
    },
    "Onboarding Experience": {
      "rank": 7,
      "score": 33.3
    },
    "Rewards & Recognition": {
      "rank": 4,
      "score": 33.3
    },
    "Candidate Communication": {
      "rank": 4,
      "score": 33.3
    }
  },
  "company": "Aam",
  "country": "Brazil",
  "history": [
    {
      "rank": 31,
      "month": "2026-02",
      "visibilityScore": 4.3
    },
    {
      "rank": 14,
      "month": "2026-04",
      "visibilityScore": 14.6
    }
  ],
  "summary": "Aam is tracked across AI employer visibility rankings in the Automotive sector. When candidates research the company through AI, it surfaces consistently in employer-related queries — ranking #14 out of 61 Automotive companies in the PerceptionX index.\n\nAI models most frequently position Aam alongside General Motors, Volkswagen, and Toyota when discussing Automotive employers.\n\nThe company shows strongest employer visibility in Application Process, Candidate Communication and Candidate Feedback. Visibility gaps exist in Career Opportunities, Company Culture and Inclusion, where competitors tend to dominate the AI narrative.\n\nAam's Visibility Score has risen from 4.3 to 14.6 across its last 2 measurements (since February 2026), climbing 17 places in the Automotive rankings. Over that period it has moved ahead of Lear and Peugeot. It now trails Volvo by 8.3 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": "aam.com",
  "industry": "Automotive",
  "profileUrl": "https://employers.perceptionx.ai/company/aam",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 0,
    "googleAi": 43.8,
    "perplexity": 0
  },
  "overallRank": 227,
  "industryRank": 14,
  "mentionCount": 7,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "general-motors",
      "company": "General Motors",
      "visibilityScore": 75
    },
    {
      "rank": 2,
      "slug": "volkswagen",
      "company": "Volkswagen",
      "visibilityScore": 72.9
    },
    {
      "rank": 3,
      "slug": "toyota",
      "company": "Toyota",
      "visibilityScore": 56.3
    },
    {
      "rank": 4,
      "slug": "stellantis",
      "company": "Stellantis",
      "visibilityScore": 50
    },
    {
      "rank": 5,
      "slug": "mercedes-benz",
      "company": "Mercedes-Benz",
      "visibilityScore": 47.9
    }
  ],
  "otherIndustries": [],
  "visibilityScore": 14.6,
  "totalCompaniesInCountry": 1222,
  "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. Responses from other assistants (e.g. Claude, DeepSeek) are collected for research but not included in index scoring.",
    "models": [
      "ChatGPT",
      "Google Gemini",
      "Perplexity"
    ]
  }
}