AI is choosing products
driving revenue you can't see.
Shoppers aren't browsing. They're asking AI what to buy—and acting on the answers. agentShop helps you measure, attribute, and capture the revenue driven by AI recommendations.
Trusted by growth-stage DTC and enterprise retailers worldwide.
Search led users to options.
AI delivers decisions.
When a shopper asks “best stroller,” “best dog food,” or “best mattress”—they aren't browsing pages. They're choosing from recommendations. If you're not in that layer, you're not in the decision. AI is already shaping your revenue. You just can't measure it.
agentShop makes AI-driven revenue
visible and controllable.
Why It
Matters
You're already paying to generate demand. AI decides where it converts.
Losing revenue to competitors
Misattributing performance
Underestimating a growing channel

Frequently Asked Questions
Am I losing revenue to AI recommendations without realizing it?
In most cases, yes. If your category includes “best [product]” or comparison-driven decisions, AI is already influencing outcomes. Without visibility, you can't see when competitors are being recommended, your product is being excluded, or demand you created is captured elsewhere. That loss doesn't show up as a clear drop—it shows up as missing revenue you can't explain.
How does agentShop measure AI-driven revenue?
agentShop connects AI influence to real business outcomes. It tracks when and where products are recommended, compares your visibility against competitors, and links that exposure to downstream conversions. Instead of guessing, you can see how often you're recommended, where you're losing to competitors, and how AI influence impacts revenue.
What is share-of-recommendation and why does it matter?
Share-of-recommendation measures how often your products appear in AI-generated recommendations compared to competitors. It's the AI-era equivalent of share-of-shelf or impression share—but at the decision layer. Because AI presents a limited set of options, even small changes in recommendation share can have a direct impact on revenue.
How is this different from optimizing for AI search or “AI SEO”?
AI SEO focuses on visibility—trying to appear in AI-generated answers. agentShop focuses on revenue—understanding how those answers influence conversions and where you're winning or losing money. Showing up is not the same as being chosen. And being chosen is what drives revenue.
What happens if I don't measure AI-driven revenue?
You continue operating with incomplete data. That leads to misattributed performance, inefficient acquisition spend, and competitors gaining invisible advantage. As AI becomes a larger part of how decisions are made, that gap compounds—quietly eroding revenue without a clear signal.



























