Zero-Click Commerce Guide — an AXD Institute resource on agentic experience design, agentic commerce, trust architecture, and human agent interaction. Founded by Tony Wood..
| Dimension | Traditional UX | Agentic Experience Design (AXD) |
|---|---|---|
| Primary material | Attention and affordance | Trust and delegation |
| User state | Present, navigating | Absent, delegating |
| Design output | Screens and interfaces | Outcomes and constraints |
| Temporal model | Session-based | Relationship-based |
| Success metric | Task completion | Trust calibration |
Zero-click commerce is the emerging model where AI shopping agents execute purchases autonomously on behalf of human principals - without the human ever visiting a product page, reading reviews, or clicking a buy button. Merchants must prepare because the traditional conversion funnel (attract → browse → compare → purchase) collapses when the customer is an AI agent. Preparation involves making product data machine-readable, building API-accessible checkout flows, and implementing trust signals
Making your store ready for AI shopping agents requires four key changes. First, implement comprehensive schema.org Product markup and JSON-LD structured data on every product page so agents can parse your catalog. Second, build headless checkout APIs that allow agents to complete purchases programmatically without browser rendering. Third, embed machine-readable trust signals - verified reviews, return policies, merchant authentication - that agents evaluate when selecting merchants. Fourth, cr
AI shopping agents require structured data across four categories: product identity (SKU, GTIN, manufacturer, category taxonomy), product attributes (specifications, dimensions, materials, certifications in standardised formats), commercial terms (pricing, availability, shipping options, return policies as structured data), and trust indicators (merchant verification status, review aggregates, fulfilment reliability scores). All data should be published in schema.org-compliant JSON-LD format and
In zero-click commerce, trust architecture becomes the primary design challenge because the human principal never directly evaluates the merchant or product. The agent must assess competence trust (can this merchant fulfil the order correctly?), integrity trust (is the merchant honest about product attributes?), benevolence trust (does the merchant act in the buyer's interest?), and predictability trust (will the merchant behave consistently?). Trust architecture in zero-click commerce requires
Traditional ecommerce automation (Subscribe & Save, auto-reorder, scheduled purchases) automates the execution of a human decision that has already been made. Zero-click commerce is fundamentally different: the AI agent makes the purchasing decision itself, within delegated authority from the human principal. The agent discovers products, evaluates alternatives, selects the optimal option, and executes the purchase - all without human involvement. This distinction matters because zero-click comm
Design your product taxonomy to align with Create machine-readable purchase reports aligned with