A specialized diagnostic tool to ensure e-commerce storefronts are visible, readable, and purchasable by autonomous AI shopping agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-b2a-audit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install skill-b2a-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is B2A Agent-Discoverability Audit?
The B2A Agent-Discoverability Audit is a sophisticated technical framework designed for the emerging Business-to-Agent economy. As shopping shifts from human browsing to AI-driven procurement, this tool evaluates whether your WooCommerce, Shopify, or custom storefront provides the necessary machine-readable signals. By utilizing Openclaw Skills, developers and store owners can identify critical gaps in schema markup and API accessibility that prevent AI agents from indexing their inventory.
This skill goes beyond basic SEO by focusing on the 5-dimension scorecard specifically tailored for AI intent matching. It ensures that product attributes like GTIN, availability, and programmatic checkout paths are fully optimized, transforming a standard web store into an AI-ready commerce hub.
B2A Agent-Discoverability Audit Use Cases
- Preparing a storefront for the rise of Google AI Shopping and Perplexity Shopping agents.
- Diagnosing why products are failing to appear in AI-driven search results despite high inventory.
- Performing quarterly storefront health checks to maintain B2A commerce infrastructure.
- Auditing new product launches to ensure immediate discoverability by automated agents.
How B2A Agent-Discoverability Audit Works
- The user provides the target SITE_URL and defines the STORE_TYPE (WooCommerce, Shopify, or Custom).
- The skill initiates a multi-point inspection of structured data, specifically searching for JSON-LD Product and Offer blocks.
- It attempts to access machine-readable catalog endpoints like /products.json or specific WordPress REST API routes.
- The agent tests for public shopping feed availability and evaluates the technical compatibility of the checkout API for headless interactions.
- An AI-driven analysis of product descriptions is performed to ensure high-quality intent matching for LLM-based queries.
- A comprehensive, scored report is generated and appended to a local notes file with prioritized remediation steps.
B2A Agent-Discoverability Audit Setup
To deploy this audit within your environment, ensure you have the Openclaw Skills runner configured. No specific API keys are required for public audits, though store-specific permissions may be needed for deep API testing.
# Initialize the B2A Audit for a WooCommerce site
openclaw run b2a-audit --url https://yourstore.com --type woocommerce
# Run audit for a Shopify store
openclaw run b2a-audit --url https://shopifystore.com --type shopify
B2A Agent-Discoverability Audit Data Schema & Taxonomy
The audit organizes findings into a structured report based on five core dimensions. Results are logged using the following taxonomy:
| Dimension | Description | Requirement |
|---|---|---|
| Structured Data | schema.org/Product validation | JSON-LD, GTIN, MPN |
| Catalog API | Public endpoint accessibility | /products.json or /wc/store/v1 |
| Shopping Feed | Merchant Center compatibility | XML/RSS Feed URL |
| Checkout Path | Programmatic cart support | Headless API /cart/add-item |
| Intent Matching | Description depth & specs | >100 words + technical specs |
B2A Agent-Discoverability Audit Advanced Features
- Multi-platform support covering Shopify, WooCommerce, and custom headless architectures.
- Automated prioritization of fixes categorized by HIGH, MEDIUM, and LOW impact levels.
- Integration with note-taking workflows for persistent storefront health tracking.
- Specific detection of GTIN/GTIN13 identifiers required for modern AI catalog indexing.
- Evaluation of programmatic checkout paths to support autonomous AI purchasing agents.
SKILL.md
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