{
  "slug": "sncf",
  "month": "2026-09",
  "status": "current",
  "themes": {
    "Inclusion": {
      "rank": 4,
      "score": 66.7
    },
    "Innovation": {
      "rank": 6,
      "score": 33.3
    },
    "Leadership": {
      "rank": 3,
      "score": 66.7
    },
    "Onboarding": {
      "rank": 6,
      "score": 66.7
    },
    "Compensation": {
      "rank": 5,
      "score": 66.7
    },
    "Job Security": {
      "rank": 4,
      "score": 66.7
    },
    "Company Culture": {
      "rank": 4,
      "score": 66.7
    },
    "Candidate Feedback": {
      "rank": 13,
      "score": 33.3
    },
    "Career Opportunities": {
      "rank": 19,
      "score": 33.3
    },
    "Interview Experience": {
      "rank": 4,
      "score": 66.7
    },
    "Mission, Purpose & Impact": {
      "rank": 6,
      "score": 33.3
    },
    "Application & Communication": {
      "rank": 6,
      "score": 33.3
    }
  },
  "company": "Sncf",
  "country": "France",
  "history": [
    {
      "rank": 2,
      "month": "2026-02",
      "visibilityScore": 31.9
    },
    {
      "rank": 8,
      "month": "2026-03",
      "visibilityScore": 100
    },
    {
      "rank": 4,
      "month": "2026-04",
      "visibilityScore": 25
    }
  ],
  "summary": "Sncf is tracked across AI employer visibility rankings in the Travel sector. When candidates research the company through AI, it appears frequently in employer-related queries — ranking #3 out of 69 Travel companies in the PerceptionX index.\n\nAI models most frequently position Sncf alongside Accor, Air France-KLM, and Booking.com when discussing Travel employers.\n\nThe company shows strongest employer visibility in Application & Communication, Candidate Feedback and Career Opportunities. Visibility gaps exist in Wellbeing & Balance, where competitors tend to dominate the AI narrative.\n\nSncf's Visibility Score has risen from 31.9 to 48.7 across its last 4 measurements (since February 2026), slipping 1 place in the Travel rankings. Air France-KLM has moved ahead of it. It now trails Air France-KLM by 10.3 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": "sncf.com",
  "industry": "Travel",
  "profileUrl": "https://employers.perceptionx.ai/company/sncf",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 69.2,
    "googleAi": 69.2,
    "perplexity": 7.7
  },
  "overallRank": 73,
  "industryRank": 3,
  "mentionCount": 19,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "accor",
      "company": "Accor",
      "visibilityScore": 82.1
    },
    {
      "rank": 2,
      "slug": "air-france-klm",
      "company": "Air France-KLM",
      "visibilityScore": 59
    },
    {
      "rank": 4,
      "slug": "bookingcom",
      "company": "Booking.com",
      "visibilityScore": 41
    },
    {
      "rank": 5,
      "slug": "club-med",
      "company": "Club Med",
      "visibilityScore": 25.6
    },
    {
      "rank": 6,
      "slug": "disney",
      "company": "Disney",
      "visibilityScore": 20.5
    }
  ],
  "otherIndustries": [
    {
      "industry": "Logistics",
      "industryRank": 14,
      "visibilityScore": 17.9
    },
    {
      "industry": "Cybersecurity",
      "industryRank": 51,
      "visibilityScore": 2.6
    },
    {
      "industry": "Hospitality",
      "industryRank": 60,
      "visibilityScore": 2.6
    },
    {
      "industry": "Telecommunications",
      "industryRank": 33,
      "visibilityScore": 2.6
    }
  ],
  "visibilityScore": 48.7,
  "totalCompaniesInCountry": 1140,
  "totalCompaniesInIndustry": 69,
  "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"
    ]
  }
}