{
  "slug": "national-grid",
  "month": "2026-09",
  "status": "current",
  "themes": {
    "Inclusion": {
      "rank": 2,
      "score": 66.7
    },
    "Leadership": {
      "rank": 14,
      "score": 33.3
    },
    "Onboarding": {
      "rank": 10,
      "score": 33.3
    },
    "Job Security": {
      "rank": 21,
      "score": 33.3
    }
  },
  "company": "National Grid",
  "country": "United Kingdom",
  "history": [
    {
      "rank": 41,
      "month": "2026-02",
      "visibilityScore": 4.3
    },
    {
      "rank": 54,
      "month": "2026-04",
      "visibilityScore": 2.1
    }
  ],
  "summary": "National Grid is tracked across AI employer visibility rankings in the Manufacturing & Industrial sector. When candidates research the company through AI, it surfaces consistently in employer-related queries — ranking #14 out of 122 Manufacturing & Industrial companies in the PerceptionX index.\n\nAI models most frequently position National Grid alongside Rolls-Royce, BAE Systems, and Tata when discussing Manufacturing & Industrial employers.\n\nThe company shows strongest employer visibility in Inclusion, Job Security and Leadership. Visibility gaps exist in Application & Communication, Candidate Feedback and Career Opportunities, where competitors tend to dominate the AI narrative.\n\nNational Grid's Visibility Score has risen from 4.3 to 12.8 across its last 3 measurements (since February 2026), climbing 27 places in the Manufacturing & Industrial rankings. Over that period it has moved ahead of Abb and Glaxosmithkline. It now trails Smiths 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": "nationalgrid.com",
  "industry": "Manufacturing & Industrial",
  "profileUrl": "https://employers.perceptionx.ai/company/national-grid",
  "lastUpdated": "2026-09-20",
  "modelScores": {
    "chatgpt": 23.1,
    "googleAi": 15.4,
    "perplexity": 0
  },
  "overallRank": 274,
  "industryRank": 14,
  "mentionCount": 5,
  "topCompetitors": [
    {
      "rank": 1,
      "slug": "rolls-royce",
      "company": "Rolls-Royce",
      "visibilityScore": 71.8
    },
    {
      "rank": 2,
      "slug": "bae-systems",
      "company": "BAE Systems",
      "visibilityScore": 66.7
    },
    {
      "rank": 3,
      "slug": "tata",
      "company": "Tata",
      "visibilityScore": 46.2
    },
    {
      "rank": 4,
      "slug": "unilever",
      "company": "Unilever",
      "visibilityScore": 35.9
    },
    {
      "rank": 5,
      "slug": "gsk",
      "company": "GSK",
      "visibilityScore": 20.5
    }
  ],
  "otherIndustries": [
    {
      "industry": "Oil & Gas",
      "industryRank": 7,
      "visibilityScore": 10.4
    },
    {
      "industry": "Cybersecurity",
      "industryRank": 51,
      "visibilityScore": 2.7
    },
    {
      "industry": "Artificial Intelligence",
      "industryRank": 38,
      "visibilityScore": 2.6
    },
    {
      "industry": "Cloud Data Platform",
      "industryRank": 62,
      "visibilityScore": 2.6
    }
  ],
  "visibilityScore": 12.8,
  "totalCompaniesInCountry": 1415,
  "totalCompaniesInIndustry": 122,
  "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"
    ]
  }
}