B2A Agent-Discoverability Audit

Audits e-commerce sites for AI shopping agent discoverability, scoring product data, APIs, feeds, checkout compatibility, and description quality with priori...

Skill: B2A Agent-Discoverability Audit

Version: 1.0 | Created: 2026-03-30

---

Purpose

Audit any e-commerce site (WooCommerce/Shopify/custom) for AI agent discoverability and shopping readiness. Outputs a scored report with prioritized fixes to make products visible to AI shopping agents (Google AI Shopping, Perplexity Shopping, AppFunctions agents).

When to Use

• Before launching a new product line
• When traffic is low despite active inventory
• As part of B2A (Business-to-Agent) commerce infrastructure setup
• Quarterly storefront health check

Inputs

• SITE_URL — the storefront URL to audit (e.g., https://example.com)
• STORE_TYPE — WooCommerce | Shopify | Custom (default: WooCommerce)

Outputs

• Scored report appended to a notes file
• 5-dimension score card (0–10 each)
• Prioritized fix list: 🔴 HIGH / 🟡 MEDIUM / 🟢 LOW

Audit Dimensions

1. Structured Data (schema.org/Product)

Check for:

• @type: Product with name, sku, url, image, description
• Offer block: price, priceCurrency, availability
• brand with @type: Brand
• gtin / gtin13 / gtin8 — required by Google Shopping and AI agent catalogs
• mpn (manufacturer part number)
• aggregateRating + reviewCount
• color, material, weight product attributes

Tool: Fetch any product page, inspect JSON-LD blocks.

2. Machine-Readable Catalog API

WooCommerce: Test GET /wp-json/wc/store/v1/products (public, no auth) Shopify: Test GET /products.json (public, no auth) Check: HTTP status, fields returned (id, name, sku, prices, images, in_stock)

3. Google Merchant Center / Shopping Feed

Test common feed URLs:

• /feed=products
• /google-shopping-feed/
• WooCommerce: Google Listings & Ads plugin
• Shopify: native GMC integration

4. Agent Checkout Compatibility

WooCommerce: Test POST /wp-json/wc/store/v1/cart/add-item availability Check for headless cart API, programmatic checkout support

5. Product Descriptions (AI Intent Matching)

Evaluate description quality:

• Length > 100 words with specs
• Includes: connection type, battery life, dimensions, weight, use cases
• No tagline-only descriptions

Scoring Rubric

Score	Meaning
9–10	Production-ready for AI agents
7–8	Good, minor fixes needed
5–6	Partial — key gaps present
3–4	Visible but not optimized
0–2	Invisible to AI shopping agents

Report Format

## [YYYY-MM-DD] B2A Agent-Discoverability Audit — {SITE_URL}

### Score Card
| Dimension | Score | Notes |
...

### 🔴 HIGH Priority
...

### 🟡 MEDIUM Priority  
...

### 🟢 LOW Priority (future)
...

Overall: X/10

Key Insight (from production use)

The biggest gap most e-commerce sites have: WooCommerce/Shopify APIs are browsable by agents, but without GTIN identifiers and a Google Merchant Center feed, products are invisible to Google AI Shopping, Perplexity Shopping, and Android AppFunctions agents. The fix is a free WooCommerce plugin + 30 minutes of product data entry. High leverage, low effort.