{
  "slug": "li-auto",
  "month": "2026-04",
  "status": "current",
  "themes": {
    "Innovation": {
      "rank": 1,
      "score": 100
    },
    "Leadership": {
      "rank": 10,
      "score": 50
    },
    "Mission & Purpose": {
      "rank": 4,
      "score": 100
    },
    "Application Process": {
      "rank": 6,
      "score": 50
    },
    "Rewards & Recognition": {
      "rank": 4,
      "score": 100
    },
    "Candidate Communication": {
      "rank": 10,
      "score": 50
    }
  },
  "company": "Li Auto",
  "country": "China",
  "history": [
    {
      "rank": 5,
      "month": "2026-02",
      "visibilityScore": 38.5
    },
    {
      "rank": 6,
      "month": "2026-03",
      "visibilityScore": 66.7
    },
    {
      "rank": 8,
      "month": "2026-04",
      "visibilityScore": 29.6
    }
  ],
  "summary": "Li Auto 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 #8 out of 51 Automotive companies in the PerceptionX index.\n\nAI models most frequently position Li Auto alongside Nio, BYD, and Geely when discussing Automotive employers.\n\nThe company shows strongest employer visibility in Application Process, Candidate Communication and Innovation. Visibility gaps exist in Candidate Feedback, Career Opportunities and Company Culture, where competitors tend to dominate the AI narrative.\n\nLi Auto's Visibility Score has fallen from 38.5 to 29.6 across its last 3 measurements (since February 2026), slipping 3 places in the Automotive rankings. Saic Motor and Yanfeng Automotive Interiors have moved ahead of it. It now trails Volkswagen by 3.7 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": "liauto.com",
  "industry": "Automotive",
  "profileUrl": "https://employers.perceptionx.ai/company/li-auto",
  "lastUpdated": "2026-09-21",
  "modelScores": {
    "chatgpt": 9.1,
    "googleAi": 43.8,
    "perplexity": 0
  },
  "overallRank": 126,
  "industryRank": 8,
  "mentionCount": 8,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "nio",
      "company": "Nio",
      "visibilityScore": 74.1
    },
    {
      "rank": 2,
      "slug": "byd",
      "company": "BYD",
      "visibilityScore": 55.6
    },
    {
      "rank": 3,
      "slug": "geely",
      "company": "Geely",
      "visibilityScore": 51.9
    },
    {
      "rank": 4,
      "slug": "saic-motor",
      "company": "Saic Motor",
      "visibilityScore": 51.9
    },
    {
      "rank": 5,
      "slug": "bmw",
      "company": "BMW",
      "visibilityScore": 37
    }
  ],
  "otherIndustries": [
    {
      "industry": "Manufacturing & Industrial",
      "industryRank": 92,
      "visibilityScore": 2.6
    }
  ],
  "visibilityScore": 29.6,
  "totalCompaniesInCountry": 1401,
  "totalCompaniesInIndustry": 51,
  "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"
    ]
  }
}