AI-influenced revenue attribution: the Tadow method, in euros
The method that connects your products' visibility in AI answers to real Shopify orders, expressed in euros and broken down by product
2 min read
AI-influenced revenue is the blind spot in most marketing dashboards today. A customer discovers a product in a ChatGPT answer, searches for it on Google, then buys three days later on the store: in standard attribution tools, that journey disappears, absorbed into last-click or organic search.
The result: brands that spend time fixing their catalog for AI engines often have no way to tell whether it earned a single euro. That's the problem euro attribution needs to solve, not by adding one more score, but by connecting AI visibility to real orders.
What AI-influenced revenue actually covers
It isn't an awareness estimate or a theoretical lift percentage. AI-influenced revenue, as Tadow measures it, refers to real Shopify orders tied to traffic identifiable as coming from an AI recommendation, for instance through the chatgpt.com referral that shows up in orders. It's observed revenue, not revenue modeled after the fact.
The attribution model, in euros rather than in a score
- Traffic that can actually be identified as coming from an AI recommendation into the store
- Real Shopify orders tied to that traffic, not an estimate
- A breakdown by product, to see which listings generate AI-influenced revenue
- A breakdown by engine (ChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI Mode)
- Tracking over time, to isolate the effect of a catalog fix published through FIX
That granularity changes what you can do with the number. AI-influenced revenue aggregated at the brand level is an interesting statistic. Broken down by product and by engine, it becomes a prioritization tool: you know exactly which listings to fix first, because you know which ones already carry weight, or could carry weight, in real revenue.
That's the logic that closes the MAP → FIX → PROVE loop: measure visibility, fix the catalog, then prove, in euros and by product, what that fix actually earned, instead of settling for a score that trends up without anyone knowing what it's worth.