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Perspectives on AI product discovery

How answer engines and shopping agents decide which products to recommend — and how merchants build the trust, evidence and control that earns the recommendation.

An open blueprint of a buyer agent and a merchant agent feeds a glowing AI hub that lights up a store’s shelves — some products verified with green checks, others flagged for missing data, while a merchant reviews a Pending Approval queue.
Agentic Commerce

The Blueprint is Free, But Are Your Shelves Stocked?

Anthropic open-sourced the commerce-agent playbook. Building the bot is no longer the moat — being data the machine can trust is.

September 7, 2026 · 7 min read
An AI assistant recommends a running shoe in chat, then hands off to the merchant's product page for a secure checkout.
Agentic Commerce

Why AI Helps You Shop, But Won’t Check You Out

OpenAI pulled in-chat checkout: discovery stays in the conversation, the transaction returns to the merchant. What lands you on the AI’s shortlist matters more than any checkout button.

September 5, 2026 · 7 min read
When the machine becomes the shopper — an agent moves from recall to comparison to evidence to one recommendation, on a merchant control layer.
Agentic Commerce

When the Machine Becomes the Shopper

AI agents now name one product and quietly omit the other ninety-nine. The scarce thing is no longer visibility — it's trust, evidence, and control.

September 3, 2026 · 7 min read