How an AI shopping agent reads a store, the protocols it buys through, and where checkout and payment stop it, with the sources for every claim. Setting up a store on one platform? The guides are step by step.
How-to
How to keep scrapers out without turning away search bots and shopping agents: a firewall rule planner, where to put a challenge, and what each vendor says it does about agents.
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How-to
Why an AI shopping agent needs guest checkout, where each platform keeps the setting, and how to check what your checkout entry shows, with a path simulator and a checker.
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How-to
Where Google wants shipping and return policies, how to write them as markup and as pages an AI agent can read, with builders for both and a check for your policy text.
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How-to
How to write prices, currencies, stock and size or colour variants so an AI agent reads them right, with a price tester, the stock values and a variant markup builder.
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How-to
Which schema.org Product properties a store’s pages need, what Google requires and what our checks read, with a JSON-LD builder and a checker for the markup you have.
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How-to
What llms.txt is, who says they read it, what a store’s file should hold and how to publish one on Shopify, WooCommerce, BigCommerce and Magento, with a builder that writes yours.
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How-to
The AI bots a store meets, what each vendor says its bot is for and what robots.txt does for it, which to allow and which to block, with a generator for your file and a checker for the one you have.
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How-to
Twenty tasks that get a store ready for AI shopping agents, in the order an agent meets them: from robots.txt and product data to checkout, bots and analytics, each with the check that tests it.
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The basics
About fifty terms from agentic commerce, from A2A to x402, each defined in its source’s words with its status label, an anchor you can link to, and the article that covers it.
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