{
  "slug": "daher",
  "month": "2026-09",
  "status": "current",
  "themes": {
    "Inclusion": {
      "rank": 4,
      "score": 66.7
    },
    "Application & Communication": {
      "rank": 5,
      "score": 33.3
    }
  },
  "company": "Daher",
  "country": "France",
  "history": [
    {
      "rank": 7,
      "month": "2026-02",
      "visibilityScore": 22
    },
    {
      "rank": 8,
      "month": "2026-03",
      "visibilityScore": 28.6
    },
    {
      "rank": 13,
      "month": "2026-04",
      "visibilityScore": 4.2
    }
  ],
  "summary": "Daher is tracked across AI employer visibility rankings in the Aerospace sector. When candidates research the company through AI, it appears in a moderate share of employer-related queries — ranking #10 out of 35 Aerospace companies in the PerceptionX index.\n\nAI models most frequently position Daher alongside Airbus, Safran, and Thales when discussing Aerospace employers.\n\nThe company shows strongest employer visibility in Application & Communication and Inclusion. Visibility gaps exist in Candidate Feedback, Career Opportunities and Company Culture, where competitors tend to dominate the AI narrative.\n\nDaher's Visibility Score has fallen from 22 to 7.9 across its last 4 measurements (since February 2026), slipping 3 places in the Aerospace rankings. Over that period it has moved ahead of Air France-KLM. Mbda and Latécoère have moved ahead of it. It now trails Stelia Aerospace by 2.6 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": "daher.com",
  "industry": "Aerospace",
  "profileUrl": "https://employers.perceptionx.ai/company/daher",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 16.7,
    "googleAi": 0,
    "perplexity": 7.7
  },
  "overallRank": 317,
  "industryRank": 10,
  "mentionCount": 3,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "airbus",
      "company": "Airbus",
      "visibilityScore": 100
    },
    {
      "rank": 2,
      "slug": "safran",
      "company": "Safran",
      "visibilityScore": 100
    },
    {
      "rank": 3,
      "slug": "thales",
      "company": "Thales",
      "visibilityScore": 97.4
    },
    {
      "rank": 4,
      "slug": "dassault",
      "company": "Dassault",
      "visibilityScore": 89.5
    },
    {
      "rank": 5,
      "slug": "arianegroup",
      "company": "Arianegroup",
      "visibilityScore": 39.5
    }
  ],
  "otherIndustries": [],
  "visibilityScore": 7.9,
  "totalCompaniesInCountry": 1140,
  "totalCompaniesInIndustry": 35,
  "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"
    ]
  }
}