Store-view output
Review product schema and policies on the specific public storefront and locale you submit, rather than assuming one store view represents every site.
Adobe Commerce + AI Commerce

Store views, extensions, and custom frontends can produce very different public output. Check the storefront your customers actually use.
Review product schema and policies on the specific public storefront and locale you submit, rather than assuming one store view represents every site.
Make sure the identifiers, prices, and availability in your catalog are published clearly on sampled product pages.
A headless or custom storefront needs readable public HTML. Private API data and content rendered only in the browser are outside this scan’s direct view.
Adobe describes MCP capabilities and support for commerce protocols. Check what is available for your edition, installed services, and deployment.
Relevant checks for your live Magento / Adobe Commerce storefront, based on the public information the crawler can inspect.
This is a sampled public-site analysis. It does not inspect your admin, validate private catalog feeds, or complete a purchase. ACP checks are informational.
Start a free analysis of your public storefront. You do not need to install an app or provide admin access.
See your score, then unlock the full report with your email. You receive a report link to revisit or share.
Work through the recommendations and analyze again after making changes. Implementation is your choice.
Start with a free check of your public storefront.
A score is a starting point. The findings and coverage notes help you understand what to work on.
See how your public site performs against applicable checks, which pages were inspected, and where the scan had limits.
Review the issues and suggested fixes, then share the report link with whoever will carry out the work.
The score measures inspected technical signals. It does not measure your actual AI rankings, traffic, or sales, and does not guarantee recommendations from an AI assistant.
Guides and explanations for your next step.
Complete guide to optimizing your Magento store for AI shopping agents, including schema, feeds, APIs, and payment configuration.
UCPAn introduction to Universal Commerce Protocol and its discovery, checkout, and post-purchase concepts.
TechnicalLearn how Product and Offer structured data help make your storefront’s information easier to interpret.
StrategyAI agents are reshaping channel strategy. Learn when to sell direct and when to leverage marketplaces for maximum AI visibility on Magento.
GuideTechnical specs, pricing tiers, and SKU data structured for AI purchasing agents. Adobe Commerce B2B module focus.
GuideProduct dimensions, materials, and supporting content for stores selling home and furniture products.
GuideUnderstand UCP, ACP, and MCP, and the different parts they play in commerce integrations.
GuideExplore checkout integration considerations, including agent access, payments, and order handling.
Adobe’s guidance describes its commitment to UCP and ACP within its agentic-commerce architecture. That does not confirm that every Magento or Adobe Commerce deployment has a working native integration. Check your edition and installed services. Our diagnostic reads a public UCP profile and its declared capabilities.
A supported catalog, checkout, and agent integration is required; having a payment extension alone does not establish access to an AI shopping service. ACP is informational in this diagnostic. We do not inspect private payment settings, enroll your store, or complete a checkout transaction.
Your deployment can give you control over storefront output, but configuration and content still matter. The diagnostic assesses relevant public signals on the site you submit, rather than assigning an advantage based only on the platform name. It is not a ranking of commerce platforms.
You can submit the public storefront URL. The crawler checks returned HTML and a limited page sample, not an authenticated Magento admin or a browser-rendered session. Headless rendering, custom product URLs, and access rules can affect coverage. Review the pages analyzed before interpreting a missing signal.
You can improve product information, structured data, crawl access, and policy pages now. Follow Adobe’s current documentation for protocol availability on your deployment. These improvements do not automatically connect your store to an AI shopping platform or guarantee that its agents will recommend your products.
Find the public-site issues you can work on today.