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Build a custom dashboard displaying your brand’s GEO performance metrics, competitor rankings, and top sources.
This guide uses the API client from the Guides index. Copy it to your project first.

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What You’ll Build

A dashboard with:
  • KPI cards: GEO Score, Mention Rate, Source Rate, Share of Voice, Sentiment
  • Competitor ranking: Share of Voice comparison with gap analysis
  • Source ranking: Share of Citations by domain

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Fetch Dashboard Data

Fetch all data in parallel for optimal performance. 
async function fetchDashboardData(client, brandId, period = 30) {
  // Parallel API calls
  const [performance, competitors, sources] = await Promise.all([
    client.getPerformance(brandId, { period }),
    client.getCompetitors(brandId, { period, limit: 10, sort: 'shareOfVoice', order: 'desc' }),
    client.getSourceDomains(brandId, { period, limit: 10, sort: 'mentions', order: 'desc' }),
  ]);

  // Find your brand in competitors list
  const yourBrand = competitors.competitors.find(c => c.relationship === 'SELF');
  const directCompetitors = competitors.competitors.filter(c => c.relationship === 'DIRECT');

  return {
    kpis: {
      geoScore: performance.scores.global,
      mentionRate: performance.scores.mentionRate,
      sourceRate: performance.scores.sourceRate,
      shareOfVoice: performance.scores.shareOfVoice,
      sentiment: performance.scores.sentiment,
    },

    yourBrand: yourBrand ? {
      name: yourBrand.name,
      mentions: yourBrand.totalMentions,
      shareOfVoice: yourBrand.shareOfVoice,
      avgPosition: yourBrand.avgPosition,
      sentiment: yourBrand.avgSentiment,
    } : null,

    competitorRanking: directCompetitors.map(c => ({
      name: c.name,
      shareOfVoice: c.shareOfVoice,
      mentions: c.totalMentions,
      gap: yourBrand ? (c.shareOfVoice - yourBrand.shareOfVoice).toFixed(2) : null,
    })),

    sourceRanking: sources.sources.map(s => ({
      domain: s.domain,
      shareOfCitations: s.rate,
      mentions: s.totalMentions,
      isSelf: s.isSelf,
    })),

    methodology: {
      period: `${period} days`,
      promptsAnalyzed: performance.methodology.promptsCount,
      responsesGenerated: performance.methodology.responsesTotal,
      providers: performance.methodology.providers,
    },
  };
}

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Usage

const client = new QwairyClient(process.env.QWAIRY_API_TOKEN);
const dashboard = await fetchDashboardData(client, 'your-brand-id', 30);

console.log('KPIs:', dashboard.kpis);
console.log('Your position:', dashboard.yourBrand);
console.log('Top competitors:', dashboard.competitorRanking);
console.log('Top sources:', dashboard.sourceRanking);

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Example Output

{
  "kpis": {
    "geoScore": 62,
    "mentionRate": 45.2,
    "sourceRate": 23.9,
    "shareOfVoice": 8.13,
    "sentiment": 78.1
  },
  "yourBrand": {
    "name": "My Brand",
    "mentions": 104,
    "shareOfVoice": 8.13,
    "avgPosition": 2.1,
    "sentiment": 78.1
  },
  "competitorRanking": [
    { "name": "Competitor A", "shareOfVoice": 12.5, "mentions": 156, "gap": "4.37" },
    { "name": "Competitor B", "shareOfVoice": 9.8, "mentions": 122, "gap": "1.67" }
  ],
  "sourceRanking": [
    { "domain": "industry-news.com", "shareOfCitations": 5.10, "mentions": 102, "isSelf": false },
    { "domain": "mybrand.com", "shareOfCitations": 2.25, "mentions": 45, "isSelf": true }
  ],
  "methodology": {
    "period": "30 days",
    "promptsAnalyzed": 156,
    "responsesGenerated": 312,
    "providers": ["chatgpt", "perplexity"]
  }
}

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Data Structure Reference

FieldTypeDescription
kpis.geoScorenumberOverall GEO optimization score (0-100)
kpis.mentionRatenumber% of AI responses mentioning your brand
kpis.sourceRatenumber% of AI responses citing your domain
kpis.shareOfVoicenumberYour % of all competitor mentions
kpis.sentimentnumberAverage sentiment score (0-100)
competitorRanking[].gapstringDifference in Share of Voice vs your brand
sourceRanking[].shareOfCitationsnumberSource’s % of all citations (rate field)
sourceRanking[].isSelfbooleanWhether this is your own domain

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LLM Diagnostics (Optional)

Go beyond aggregate scores: identify responses where your brand is mentioned but not cited (missed link opportunities), and discover what web queries AI models trigger before answering. 
async function fetchDiagnostics(client, brandId, period = 30) {
  const [mentionedNotCited, searchQueries] = await Promise.all([
    client.getAnswers(brandId, {
      period,
      hasSelfMention: true,
      hasSelfSource: false,
      limit: 5,
      sort: 'createdAt',
      order: 'desc',
    }),
    client.getSearch(brandId, { period, limit: 5, sort: 'createdAt', order: 'desc' }),
  ]);

  return {
    // Responses where AI mentions you but doesn't link to your content
    missedCitations: mentionedNotCited.answers.map(a => ({
      prompt: a.promptText,
      provider: a.provider,
      position: a.selfMentionPosition,
      competitors: a.competitorsCount,
    })),
    // Web queries AI models run before generating a response
    aiSearchQueries: searchQueries.searches.map(s => ({
      query: s.query,
      prompt: s.prompt,
      provider: s.provider,
    })),
  };
}
Missed citations reveal where AI talks about you but doesn’t link to your content — your highest-ROI content opportunities. AI search queries show what AI models actually search for before responding, giving you direct content targeting signals.

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Next Steps