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Paz.aiAgentic Store Score

About

Agentic Store Score is a free tool by Paz.ai that evaluates how ready an ecommerce store is for AI shopping agents. As AI agents increasingly help consumers discover, compare, and purchase products, stores need to ensure their product data, pricing, cart controls, and trust signals are machine-readable and agent-operable.

The scanner fetches your storefront homepage, discovers product pages from structured data and sitemaps, samples five products, and runs deterministic checks across five categories: discovery and crawlability, product structured-data consistency, price/stock/variant fidelity, agent-operable controls and cart handoff, and shipping/returns/merchant trust clarity.

Every check includes the evidence observed during the scan and a concrete recommendation. Bonus credit is available for emerging agent protocols like llms.txt, agents.md, MCP, and AI commerce catalogs - but their absence never lowers your score.

Paz.ai is the agentic commerce platform. We help brands monitor their AI visibility, optimize product data for LLM discovery, and distribute compliant feeds to every AI shopping channel. Agent Store Score is our free diagnostic tool for the ecommerce community.

How to use a report

  1. Start with failed Essential checks - they describe the baseline an agent needs.
  2. Review Recommended gaps that match your store's capabilities.
  3. Implement the recommendations using the evidence provided.
  4. Rescan to verify improvements and get an updated score.

Reports are public and shareable via stable URLs. The scan does not require credentials, does not mutate your store, and only observes what a public agent would see.

Questions? Contact us or read the scoring methodology.