Agent Ready Storefront Audit

What it does

This skill is an adversarial auditor that reviews your online store through the eyes of an AI shopping agent. It reads your product pages, policies, and metadata and judges whether an autonomous agent could discover, evaluate, and complete a purchase without a human stepping in.

The problem it tackles

Most stores are built for human eyes, with key facts hidden in images or buried in vague prose. A person can figure it out, but an AI shopping agent comparing options for a buyer tends to skip stores with unstructured data, ambiguous return policies, or checkout paths it cannot follow. This is the sell-side counterpart to discovery: not "can an agent find you" but "can an agent confidently transact with you." The audit surfaces those agent-blockers so you can fix them.

What it reviews

Give it raw HTML, a JSON-LD schema.org snippet, a product description, or policy text from any platform, including Shopify, WooCommerce, or a custom build. It looks for machine-readable product identity, stable pricing and availability, parseable policies, trust signals, and a clear path to checkout.

What you get

A structured scorecard across five dimensions (product data, structured data, policy clarity, trust signals, and transactability), a clear verdict, and a ranked list of copy-ready fixes with the offending text quoted. The bundled reference file adds a checklist plus fill-in templates for product JSON-LD, returns, and shipping policies.

This is an audit aid based on general agent-commerce norms. It judges only the content you provide and cannot guarantee that any specific agent will buy or that fixes will increase sales. Verify against your own platform and live store behavior.