Measure-Fix-Prove Loop

The Measure-Fix-Prove loop (MAP-FIX-PROVE) is Tadow's method for managing a brand's visibility in AI answer engines across three stages: measure how AI talks about the products, fix the Shopify catalog to become the recommended product, then prove the AI-influenced revenue in euros. The cycle connects diagnosis, action and measurable outcome for DTC brands.