# Agent-Friendly Ecommerce Store Scorer > An agent-ready ecommerce store is one AI agents can reach, read and act on: AI search bots and shopping agents are not blocked, product facts are in the HTML and in structured data, add-to-cart and search are real controls, and the store publishes machine-readable entry points like a sitemap, llms.txt or a UCP profile. This scorer runs 24 checks (plus 5 bonus signals) over plain HTTP and grades the result from A to F. - Source: https://is-agentic-storefront.com/ ## What you get - 24 agent-readiness checks plus 5 bonus signals across access, product data, operability, discovery and agentic commerce - Weighted 0–100 score and an A–F grade - A copy-paste fix prompt for coding agents on every failing check - Medusa-specific fix steps when the store runs on Medusa or a Next.js storefront - JSON API for agents at /api/scan, documented in /llms.txt ## Scan a store Open `/scan?url=&render=server` for HTML results, or `POST /api/scan` with `{"url": ""}` (or `GET /api/scan?url=`) for JSON. See [/llms.txt](https://is-agentic-storefront.com/llms.txt). ## What we check - [Access](https://is-agentic-storefront.com/checks#access) (25%): Agents and AI search bots can reach your pages without blocks, CAPTCHAs or walls. - [Product data](https://is-agentic-storefront.com/checks#product-data) (25%): Price, stock and variants are in the HTML and in valid Product JSON-LD. - [Operability](https://is-agentic-storefront.com/checks#operability) (20%): Add to cart, variant pickers and search are real, labelled controls. - [Discovery](https://is-agentic-storefront.com/checks#discovery) (15%): Sitemaps, canonicals, fast pages and a machine-readable entry point. - [Agentic commerce](https://is-agentic-storefront.com/checks#agentic-commerce) (15%): UCP profile, agent endpoints and cart permalinks for checkout by agents. ## Guides - [Agent-ready ecommerce: how to make your store work with AI agents](https://is-agentic-storefront.com/guides/agent-ready-ecommerce) - [Agentic commerce protocols explained: UCP, ACP, MCP, A2A, AP2, WebMCP](https://is-agentic-storefront.com/guides/agentic-commerce-protocols) - [AI crawler and agent user agents: the 2026 reference for stores](https://is-agentic-storefront.com/guides/ai-user-agents) - [How the agent-readiness score works: methodology and limits](https://is-agentic-storefront.com/guides/scoring-methodology) - [Agent readiness vs SEO: what's different for ecommerce](https://is-agentic-storefront.com/guides/agent-readiness-vs-seo) - [Is Shopify agent-ready? What you get by default and what to fix](https://is-agentic-storefront.com/guides/shopify-agent-readiness) - [Is WooCommerce agent-ready? Defaults and what to fix](https://is-agentic-storefront.com/guides/woocommerce-agent-readiness) - [Is BigCommerce agent-ready? Defaults and what to fix](https://is-agentic-storefront.com/guides/bigcommerce-agent-readiness) - [Is Medusa agent-ready? Build an agent-ready storefront you control](https://is-agentic-storefront.com/guides/medusa-agent-readiness) - [Agentic commerce glossary](https://is-agentic-storefront.com/glossary) ## Frequently asked questions ### How does the agent readiness scorer work? It fetches your homepage, robots.txt, sitemap and up to three product pages over HTTP, the way an AI agent would, without a headless browser. Each of the 24 checks passes, partially passes or fails; checks that could not run are marked inconclusive and left out of the score. Category scores are weighted into a 0–100 score and an A–F grade. ### Does blocking GPTBot or other AI training crawlers lower my score? No. Blocking training crawlers such as GPTBot, ClaudeBot or Google-Extended is your choice and is reported for information only. Blocking user-initiated agents (like ChatGPT-User or Claude-User) and AI search bots (like OAI-SearchBot or PerplexityBot) does lower the score, because it hides your products from shoppers using AI assistants. ### Which ecommerce platforms does it support? Any public storefront URL, on any platform. When the scanner detects a Medusa store or a Next.js storefront, the fix prompts include steps specific to that stack. ### Is it free? Yes. There is no signup. Results for the same URL are cached for 10 minutes and scans are rate limited per IP address. ### Can an AI agent run a scan? Yes. Send POST /api/scan with a JSON body like {"url": "https://example-store.com"}, or GET /api/scan?url= with the URL-encoded store URL. The response format and error codes are documented in /llms.txt. ## Run your store on a platform built for agentic commerce Medusa is open-source, headless commerce with a full Store API agents can call and storefronts you control end to end. ### Deploy on Medusa Cloud Open-source commerce with a full Store API, hosted and scaled for you. Your storefront, your data model. - [Deploy on Medusa Cloud](https://cloud.medusajs.com?utm_source=agent-friendly-scorer&utm_medium=referral&utm_campaign=markdown-cta&utm_content=%2F) - [Medusa Cloud docs](https://docs.medusajs.com/cloud?utm_source=agent-friendly-scorer&utm_medium=referral&utm_campaign=markdown-cta&utm_content=%2F) ### Storefront skills for coding agents Teach Claude Code, Cursor or Codex to build storefronts with the patterns these checks look for. ```bash npx skills add medusajs/medusa-agent-skills ``` [View the skill on GitHub](https://github.com/medusajs/medusa-agent-skills/tree/main/plugins/ecommerce-storefront/skills/storefront-best-practices) --- Scan your store for free at https://is-agentic-storefront.com/