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Centium — A paired predictive-plus-measured AI visibility corpus. (1) Measured side: GA4-connected client sites where sessions, purchases and revenue are attributed back to the specific AI model that referred them (ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, DeepSeek), reported as monthly AI share of traffic, revenue and purchase rate, and ranked per page for the top 50 pages. (2) Predictive side: a large recurring prompt-survey corpus — thousands of category prompts run across every major AI model, scored for how each answer describes, cites and recommends each tracked brand across e…
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A paired predictive-plus-measured AI visibility corpus. (1) Measured side: GA4-connected client sites where sessions, purchases and revenue are attributed back to the specific AI model that referred them (ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, DeepSeek), reported as monthly AI share of traffic, revenue and purchase rate, and ranked per page for the top 50 pages. (2) Predictive side: a large recurring prompt-survey corpus — thousands of category prompts run across every major AI model, scored for how each answer describes, cites and recommends each tracked brand across every stage of the buying cycle. The pairing is the point: the same brands have both what-the-models-would-say labels and what-they-actually-drove outcomes.
Scale Per reference account the dashboard shows 10From 2 yearsCoverage Information Technology
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Centium — A paired predictive-plus-measured AI visibility corpus. (1) Measured side: GA4-connected client sites where sessions, purchases and revenue are attributed back to the specific AI model that referred them (ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, DeepSeek), reported as monthly AI share of traffic, revenue and purchase rate, and ranked per page for the top 50 pages. (2) Predictive side: a large recurring prompt-survey corpus — thousands of category prompts run across every major AI model, scored for how each answer describes, cites and recommends each tracked brand across e…
Centium offers (Alternative, Sentiment) — Per reference account the dashboard shows 10,840 AI sessions, 7.1% AI share and $76,480 AI revenue with 50 tracked pages, implying roughly 150K-160K total sessions per account per period; the prompt side runs 'thousands of category prompts across every major AI model' per client, so with a seven-figure-plus aggregate session base the prompt corpus is the larger artifact at potentially hundreds of thousands of scored prompt-answer pairs.
Aligned prompt-to-outcome pairs are the scarce asset: for the same brand and prompt, how a model recommends it AND what revenue it actually delivered — supervision for models that predict the commercial impact of LLM recommendations; evaluation corpora for answer-engine/AEO ranking (does being cited convert, and at what value); per-model referral-quality ground truth for media-mix and channel-shift models; content-type effectiveness labels (which editorial articles AI models keep citing and whether those citations convert) for content-investment and generative-engine-optimization models; longitudinal AI-share-of-traffic panel across many brands as a demand-adoption indicator.
The data is with 2 years of history.
Coverage spans US; Application Software; alternative, sentiment; equities.
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