What product markup adds
Product markup is a machine-readable description of an item and its offer. Schema.org provides Product fields for names, brands and identifiers, alongside Offer details such as price, currency and availability. Use verified values and the properties supported by the service receiving them.
Google accepts product information through page markup, Merchant Center feeds or both. The requirements depend on the shopping experience. Correct markup can support eligibility for richer product results, but display is not guaranteed. Google's product-data guidance.
AI shopping results draw on more than page markup. OpenAI says ChatGPT considers structured information, other third-party content and the shopper's question and context. For Google's AI Overviews and AI Mode, no special schema or AI text file is required. OpenAI's shopping guidance, Google's AI guidance.
Consider an illustrative electronics example: “USB-C charger” leaves useful questions unanswered. Confirm its model, supported power output, compatible devices and whether a cable is included. Publish verified details in clear product copy and appropriate supported fields. Apply the same approach to pet-harness measurements, food ingredients and pack sizes, furniture dimensions, clothing fit and beauty shades.
Check what your store actually publishes
Start with representative products and variants. Compare the visible product page, its structured data and any submitted feed. Check product identity, selected variant, price, currency and stock. A correct product description cannot resolve a conflicting price elsewhere. Google requires structured data to reflect the page's visible content. Structured-data guidelines.
Check variants separately. Different sizes, colours or capacities may have different prices or availability. Google's ProductGroup guidance explains how to identify related variants and their individual offers. Product-variant guidance.
Use Google's Rich Results Test to check supported markup and fix reported errors. If you submit a Merchant Center feed, review its product issues too. A passing markup check does not confirm every fact or guarantee an AI recommendation. Compare the result with the actual product and offer. Rich Results Test.
Review the markup your platform, theme or apps already produce before adding another generator. Correct the source of conflicting information, then check the published page again. Use the product-data checklist for a broader review. For discovery files and commerce integrations, read Protocols, product facts, and how agents route to your store.
OptAEO helps you scan product data and review gaps and proposed fixes. Applying fixes requires a paid plan. Check the published page and any connected feeds after making changes.