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ai12z — Beacon-captured AI-referral session corpus across deployed client sites: every visit arriving from a generative answer engine, detected by referrer domain with UTM fallback, attributed to a named engine (ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, Meta AI, You.com, plus a catch-all), classified against traditional search (Google/Bing), and joined to landing page, engagement, conversion, geo/device, path-to-engagement and a Raw Events export. Adjacent assets: on-site assistant conversation logs (Q&A history) and citation-monitor query results.. Micro-scale vendor (9 employees, …
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Beacon-captured AI-referral session corpus across deployed client sites: every visit arriving from a generative answer engine, detected by referrer domain with UTM fallback, attributed to a named engine (ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, Meta AI, You.com, plus a catch-all), classified against traditional search (Google/Bing), and joined to landing page, engagement, conversion, geo/device, path-to-engagement and a Raw Events export. Adjacent assets: on-site assistant conversation logs (Q&A history) and citation-monitor query results.
Scale Illustrative deployment month: 7From 3 yearsCoverage Information Technology · Consumer Discretionary
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ai12z — Beacon-captured AI-referral session corpus across deployed client sites: every visit arriving from a generative answer engine, detected by referrer domain with UTM fallback, attributed to a named engine (ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, Meta AI, You.com, plus a catch-all), classified against traditional search (Google/Bing), and joined to landing page, engagement, conversion, geo/device, path-to-engagement and a Raw Events export. Adjacent assets: on-site assistant conversation logs (Q&A history) and citation-monitor query results.. Micro-scale vendor (9 employees, …
ai12z offers (Alternative, Sentiment, Reference) — Illustrative deployment month: 7,842 AI referral sessions at a 37.1% engagement rate and 318 conversions (stated in the product screenshot). Cross-client volume is that per-site monthly rate across the deployed-site base, retained as raw session events plus daily/weekly/monthly aggregates, with adjacent assistant conversation transcripts per site — total raw session count unpublished and the key diligence number..
Supervision for answer-engine referral and conversion models (engine -> landing page -> engagement -> conversion, observed on real sites); outcome labels for GEO/AEO effectiveness (did the citation produce a visit and a sale); benchmark of relative AI-referral share across eight engines on production commerce sites; on-site assistant Q&A logs as intent/FAQ training data and RLHF preference pairs; content-gap labeling from unmatched questions; retail attribution modeling that must separate AI-referred from organic-search sessions.
The data is with 3 years of history.
Coverage spans US; Application Software, Internet & Direct Marketing Retail; alternative, sentiment, reference; equities.
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