Checking one product? Use the free Product Schema Checker to review brand, GTIN/MPN, price and availability in Product JSON-LD.
What can an AI shopping readiness audit actually tell you?
When a shopper asks an assistant for a product recommendation, the answer may draw on product pages, third-party sources and other information. A storefront can make its catalog easier to interpret, but a technical check alone cannot establish that any particular assistant recommends it. Lumen keeps these questions separate.
Checking a product feed against a landing page? Read the mismatch repair guide.
Choose the checklist for your commerce platform
Start with the platform that publishes your catalog. These guides help your team identify the product-data checks to make before ordering an assessment.
- Adobe Commerce and Magento product data audit: review attribute sets, configurable products, store views and the agreement between page, schema and export.
- Shopify product data audit checklist: review product identity, variants, metafields and storefront-to-feed consistency.
- WooCommerce product data readiness checklist: review variations, structured data, feed mappings and overlapping plugin output.
Bring two or three affected public product URLs and note the selected variant, currency and expected value. The free scan checks public pages; private admin settings and unpublished feeds are outside its scope.
Start with public catalog evidence
The free catalog scan inspects up to three publicly accessible product pages. It checks structured Product and Offer data, product-specific content, price and availability signals, and whether those pages are accessible for a bounded scan. It produces technical findings and a downloadable PDF. It does not run paid AI shopping queries or measure ranking.
When to measure shopping-query evidence
The $299 one-time assessment gives you a field-by-field review of up to 1,000 discovered SKUs/products against OpenAI's published shopping-feed requirements, plus product-page and Google Product/Offer checks. Six product-intent searches show which pages and sources appeared at assessment time. Your PDF includes the sample reviewed, missing product data, competitor examples and a ranked implementation plan. OpenAI feed access is currently limited to approved partners; this review helps prepare your catalog data and does not promise approval, placement or sales results.
What the merchant receives
- A named list of products actually inspected and the discovered catalog size.
- Specific examples of missing or unclear product data and content.
- Observed shopping-query sources and competitor appearances, with boundaries clearly labeled.
- A prioritized implementation plan and a report that a commerce team can review.
How to use the findings
Fix identified data and content issues in your commerce platform, then measure the same query set again. Optional $99/month monitoring provides one remeasurement per billing month, not a daily scan. Review the sample report to see how evidence and recommendations are presented.
Want to check your own catalog before scanning? Use the free eight-point product data scorecard.
Run the free three-product scanReady for the one-store assessment? Start the $299 assessment. You will review the scope before opening PayPal.