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B2A Agent-Discoverability Audit

by @zero2ai-hub

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

Versionv1.0.0
Downloads630
TERMINAL
clawhub install skill-b2a-audit

πŸ“– About This Skill

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 β€” the storefront URL to audit (e.g., https://example.com)
  • STORE_TYPE β€” WooCommerce | Shopify | Custom (default: WooCommerce)
  • Outputs

  • Scored report appended to a notes file
  • 5-dimension score card (0–10 each)
  • Prioritized fix list: πŸ”΄ 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 β€” 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 β€” 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 β€” {SITE_URL}

    Score Card

    | Dimension | Score | Notes | ...

    πŸ”΄ 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.

    ⚑ When to Use

    TriggerAction
    - When traffic is low despite active inventory
    - As part of B2A (Business-to-Agent) commerce infrastructure setup
    - Quarterly storefront health check