Track your brand across every AI search engine
Daily probes across 7 AI engines
- Four prompt types per engineBrand 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 splitProbes 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 ScoreA 0–100 composite score across all engines and prompt types. Weighted 60% with-search, 40% no-search to reflect real-world AI answer behavior.
Know exactly how you compare to competitors
- Competitor mention trackingAdd competitor names once. TrustData automatically matches them in every probe extraction and tracks their mention rate alongside yours.
- Share of voice chartsSide-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 analysisEach probe extraction classifies your brand's sentiment as positive, neutral, or negative. A high mention rate with negative sentiment is worse than not being mentioned.
Measure AI Search traffic from your own data
- AI Search traffic measurementIdentify sessions from AI Search referrals (ChatGPT, Perplexity, Gemini) in your first-party data. Track their conversion rate vs organic search across ~50 AI domains tracked server-side.
- Page audit scoringYour pages are either optimized for AI extraction or they're invisible. TrustData crawls your site, scores pages for AI readability, and shows you exactly what to improve.
- First-party data, not platform claimsAll measurement runs on your deduplicated first-party data, never on platform-reported numbers. No black box. No guessing.
Run content experiments. Measure with a control group.
- Hypothesis-driven recommendationsEvery 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 groupWhen 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 verdictsAfter 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.