We run automated scans on Shopify and DTC stores to understand how AI shopping agents actually read, evaluate, and recommend them. The data is live, continuously updated, and ours alone.
Explore public research built from real AI responses, large-scale store analysis and reproducible methodology.
These are the areas where we are actively collecting data and publishing findings.
Every AI Commerce Score is calculated from eight weighted evaluation layers that measure how AI shopping agents understand, trust and recommend e-commerce stores.
The research sits on top of everything else we build. Here is how it links together.
Find out exactly what AI agents see when they evaluate your store.
Atom Foundry operates its own live Shopify store, Founder Lab, as a permanent controlled experiment. Most measurement of AI commerce is observational: you watch stores you don't control and infer what matters. Founder Lab lets us do the opposite. We own every variable, so we can change one thing at a time, a product description, a schema field, a trust signal, and watch, in real time, how AI systems respond.
What we measure there goes beyond a single score. We track how each change moves the store's AI Commerce Score™, but also which AI agents crawl the store and when, which pages they read, whether they retrieve it in live shopping answers, and how its recommendation profile shifts over time. Read the live results in the Founder Lab Log.
Illustrative example · single-site signal for atomfoundry.dev.
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