Reference
Facts you look up, not chapters you read: the glossary, the AI shopping crawler reference, the protocol comparisons, and versioned copy-paste blueprints for machine surfaces.
Look It Up
- GlossaryPlain-English, sourced definitions for the agentic-commerce stack (agent selection, win rate, AEO, UCP, ACP, product feed), each typed by evidence.
- AI Shopping Crawler ReferenceThe dated reference for every AI shopping-relevant crawler token: OpenAI, Google, Anthropic, Perplexity, Amazon, and Meta, plus what's confirmed absent.
Protocols
- UCP vs ACPUCP (Google) vs ACP (OpenAI/Stripe): scope, agent reach, and which one gets your store selected on Gemini vs ChatGPT. Implement both.
- Agentic Payment ProtocolsAP2, Visa Trusted Agent, and Mastercard Agent Pay decide whether an agent can complete a purchase with you: table stakes to be selectable.
Blueprints
- All BlueprintsVersioned, copy-paste-ready, claim-typed templates for the machine surfaces this handbook teaches.
- llms.txt for CatalogsA production-shaped llms.txt template for a store catalog, ordered by decision weight so agents read your product feed, offers, and policies first.
- Product Markdown MirrorA copy-paste per-product Markdown mirror template, ordered by decision weight so AI shopping agents read the facts that drive selection first.
- Product JSON-LD PatternsCopy-paste product JSON-LD skeletons (single product and multi-variant ProductGroup) for AI shopping agents, with the fields that carry selection weight.
- Edge Worker ConfigTwo Cloudflare Worker variants for caching llms.txt and .md mirrors: the CDN path honors stale-while-revalidate; the Cache API refreshes manually.