Learn how to make your e-commerce store AI-ready and visible to shopping agents.
Where MCP, ACP, UCP and AP2 actually stand in June 2026 — plus WordPress 7.0, WooCommerce 10.7, 3DS2, and a spec gap we helped close around mandate expiry.
Most of the agentic-commerce debate is about discovery protocols. But an agent that can find and buy without verifying the merchant or trusting the catalog is shipping unmanaged risk. Here are the three layers that must coexist.
Four months on, SAM v2.2 composes UCP, AP2, MCP, ACP and A2A into one signed, verifiable entry point — RFC 9421 signatures, three conformance levels, and a submission to a W3C community group.
The agentic stack can discover and pay, but nothing signed tells an agent who a merchant is or how far it may act alone. We are proposing SAM — one signed sam.json. Here is the first draft.
An analysis of the AI shopping agent landscape: who the major players are, how they discover products, and what e-commerce merchants need to know.
We analyzed 500 e-commerce stores to measure how structured data quality correlates with AI agent visibility and recommendation rates.
A technical guide to configuring robots.txt for AI shopping agents like GPTBot, ClaudeBot, and PerplexityBot. Control access while maximizing visibility.
Learn how to implement JSON-LD Product schema to make your products AI-readable and improve visibility in search results and shopping recommendations.
Discover the hidden data gaps that prevent AI agents like ChatGPT and Perplexity from discovering and recommending your products.
Master product feeds, Google Merchant Center setup, feed formats, and optimization strategies to increase AI visibility and sales.
Step-by-step actionable checklist to make your e-commerce store fully AI-ready and visible to shopping agents.
Understand what GTINs, UPCs, and EANs are, why AI systems need them, and how to implement them on Shopify and WooCommerce.
Run a free audit to see what's blocking your products from AI agents.
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