AI Brand Intelligence

Know where your brand stands in AI search

ChatGPT, Perplexity, and Gemini have replaced Google for discovery queries. TrustData probes these engines daily — tracking your brand mention rate, sentiment, and share of voice vs competitors — and correlates AI citation signals with AI Search traffic and first-party conversions in the same dashboard.
LLM brand monitoring

Daily probes across every major AI engine

TrustData sends automated prompts to ChatGPT, Perplexity, and Gemini every day — both with and without web search — to track how your brand appears in AI-generated answers across different query types.
  • Four prompt types per engine
    Brand direct, category, comparison, and pain point queries. Each maps to a different stage of the buying journey and requires different content strategies to win.
  • With-search vs. no-search split
    Probes run in two modes — with real-time web search and without. The gap between them reveals whether your brand exists in LLM training data or only in recent web indexes.
  • Brand Health Score
    A 0–100 composite score across all engines and prompt types. Weighted 60% with-search, 40% no-search to reflect real-world AI answer behavior.
Share of voice

Know exactly how you compare to competitors

TrustData tracks which competitors appear alongside (or instead of) your brand in AI-generated answers — and quantifies your share of voice across every engine and query type.
  • Competitor mention tracking
    Add competitor names once. TrustData automatically matches them in every probe extraction and tracks their mention rate alongside yours.
  • Share of voice charts
    Side-by-side breakdown of your brand vs top 5 competitors. See which engine and which prompt type you're winning or losing — and by how much.
  • Sentiment analysis
    Each probe extraction classifies the sentiment of your brand's description — positive, neutral, or negative. A high mention rate with negative sentiment is worse than not being mentioned.
Dark funnel correlation

Correlate AI brand signals with revenue

Most brand monitoring tools measure upstream signals in isolation. TrustData is the only platform that brings LLM citation signals, AI Search referral sessions, and deduplicated first-party conversions into a single dashboard — so you can correlate AI brand visibility with revenue at the property level.
  • AI Search traffic attribution
    Identify sessions coming from AI Search referrals (ChatGPT, Perplexity, Gemini) in your first-party data. Track their conversion rate vs organic search.
  • Citation tracking
    TrustData checks whether your content URLs appear in AI probe citations after a recommended change — a direct signal that AI engines are referencing your pages.
  • First-party data, not platform claims
    All measurement runs on your deduplicated first-party data — never on platform-reported numbers. AI Search sessions are identified via HTTP referrer signals across ~50 AI domains tracked server-side.
Experiment engine

Run content experiments. Measure with a control group.

Most AI presence advice is untestable. TrustData turns every content change into a measurable experiment — with a natural control group built from your own probe schedule.
  • Hypothesis-driven recommendations
    Every recommendation includes a testable hypothesis — "If we add FAQ schema to the comparison page, our mention rate on comparison queries should improve because…"
  • Automatic control group
    When a change targets comparison queries, your brand_direct and category probes run unaffected on the same schedule. Their mention rate drift is the natural control.
  • Before/after verdicts
    After 7+ days, TrustData calculates the adjusted delta — treatment rate change minus control rate change. Verdict thresholds — winner, likely winner, inconclusive, no effect — are calibrated to your probe sample sizes.

What's included

Every component of the AI Brand Intelligence layer.
Multi-engine probing
ChatGPT (GPT-4o), Perplexity, and Gemini — with and without real-time web search. New engines added as they gain adoption.
Brand Health Score
0–100 composite score updated daily. Weighted mention rate across all engines, all prompt types. Returns null if fewer than 5 probes (prevents noise from small samples).
Mention rate trend
14-day rolling mention rate with current vs prior 7-day comparison. Trend direction (rising/declining/stable) shown as an alert signal.
Share of voice
Brand vs competitor mention rate per engine and prompt type. Competitors managed via a simple slug list — TrustData handles fuzzy matching in extraction.
Sentiment breakdown
Positive / neutral / negative sentiment classified by Mistral extraction for each mention. Aggregated across the last 14 days.
Citation match signal
After following a recommendation, TrustData checks whether the target URL appears in AI probe citations. A citation match alongside a mention rate lift strengthens the winner verdict.
AI Search performance
AI Search referral sessions, CVR, traffic share, and AI Overview impressions — all from your first-party tracking, compared against prior period.
Content experiment verdicts
Followed recommendations tracked for 7+ days. Adjusted delta (treatment minus control). winner / likely_winner / inconclusive / no_effect thresholds.

Frequently Asked Questions

See where your brand stands in AI search

14-day free trial. Monitor your brand across ChatGPT, Perplexity, and Gemini from day one.