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Trakkr — Cross-site panel of AI-assistant referral traffic: anonymized GA4 session/pageview records from a consented property panel, tagged by AI referral source (claude.ai, ChatGPT, Gemini, Perplexity and their aliases), aggregated daily and normalized to an index, with a post-click evidence layer (landing page + query string, engaged sessions, key events, revenue).. Micro-scale vendor (1-person company record, London, unfunded) sitting on an unusually scarce panel: consented cross-site GA4 behavioral data attributing visits to specific AI assistants, published live. Small headcount, but the…
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Cross-site panel of AI-assistant referral traffic: anonymized GA4 session/pageview records from a consented property panel, tagged by AI referral source (claude.ai, ChatGPT, Gemini, Perplexity and their aliases), aggregated daily and normalized to an index, with a post-click evidence layer (landing page + query string, engaged sessions, key events, revenue).
Scale Daily index series across 2From 1 yearsCoverage Information Technology
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Trakkr — Cross-site panel of AI-assistant referral traffic: anonymized GA4 session/pageview records from a consented property panel, tagged by AI referral source (claude.ai, ChatGPT, Gemini, Perplexity and their aliases), aggregated daily and normalized to an index, with a post-click evidence layer (landing page + query string, engaged sessions, key events, revenue).. Micro-scale vendor (1-person company record, London, unfunded) sitting on an unusually scarce panel: consented cross-site GA4 behavioral data attributing visits to specific AI assistants, published live. Small headcount, but the…
Trakkr offers (Alternative, Sentiment, Reference) — Daily index series across 2,664 qualifying properties for the Claude panel alone, with parallel panels for ChatGPT, Gemini and other AI sources on the same property base — i.e. thousands of property-days per day, plus per-landing-page and per-event breakdowns; crawler/visibility endpoints add per-property crawl observations..
Ground-truth labels for AI-referral conversion modeling; training/evaluating answer-citation and answer-optimization models (which cited content actually earns clicks and conversions); panel benchmark for agentic-commerce and answer-engine market-share estimation; label set for classifying AI-referred vs human search sessions; retail/media attribution models that must value zero-click-to-click handoff.
The data is with 1 years of history.
Coverage spans US; Application Software; alternative, sentiment, reference; equities.
The supplier's own access route is a conversation with the supplier. Request a sample through Brickroad to start.
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