A decade building marketplaces taught me how to optimize the customer journey. Agentic commerce has taught me that the customer might not visit it at all.
A signed-in agent shops as your customer. We tested the Personal Agent Protocol on a real store to see what works today and where the gaps are.
The season sets the launch date, so product data gets whatever time is left. With AI shopping, that last step decides whether new products get found.
Personal shopping agents now research and buy on a shopper’s behalf, often without ever visiting your site. Here’s what they need from your product catalog to find your brand and recommend it accurately.
Challenger brands have always had to outspend the market leader to get found. AI changes that.
Fabric for Shopify is now live. Merchants can sync, enrich and publish their whole catalog in one guided session, so AI agents can recommend their products.
Early enrichment results show that AI's influence surfaces first in conversion, not revenue.
The winning strategy for influencing AI product discovery is to treat merchandising as signal design with rich and trustworthy content that gives AI the confidence to recommend your products.
As influence shifts from merchant sites to AI, the merchandiser's first job is ensuring AI shopping agents can access their catalog through rich, structured product data.
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Merchandising and analytics for AI shopping.
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