StoreSteady checks whether the attributes shoppers compare — size, material, compatibility, pack count, and use case — appear in PDP copy, schema, metafields, and feed signals instead of staying hidden in Shopify.
Start with the product page buyers use most. The scanner reads public PDP and schema evidence only.
The connected audit compares Shopify category metafields and product data, storefront/schema/PDP output, and Merchant Center diagnostics where available.
Results label values that are present, missing, pending, unavailable, or mismatched across connected product-truth sources.
The public scan shows what product evidence makes it onto the page. The connected audit compares Shopify fields, storefront/schema/PDP output, and Merchant Center diagnostics for the same attributes.
Apparel may need age group, size, fit, and material. Bedding may need dimensions and fill. Electronics may need compatibility and specs. StoreSteady separates public gaps from connected-source availability.
If size, color, bundle, or feature differences are unclear, AI agents cannot explain which option fits the shopper best.
When age group, size, material, brand, or other canonical attributes differ between Shopify fields and storefront output, operators need to know which source is drifting.
Use these help articles when you want the step-by-step fix path behind the scan.
Triage Shopify_US to shopify_ZZ product IDs, changed data-source labels, missing history, stopped Shopping or PMax filters, and item_id mismatch warnings without changing IDs blindly.
Products without GTINs are harder for Google to trust and match. Add the right product identifiers where Google expects them.
Google flagged incorrect product identifiers. Fix GTIN, MPN, and brand consistency to recover Merchant Center visibility.
Google says "Missing value: size [size], color [color], gender [gender], age group [age_group]." Fix Shopify apparel attributes and feed mappings.
Google requires age_group for apparel. Set it in Shopify by giving the product a standard product category, which unlocks the age group category metafield, then confirm the value reaches Merchant Center.
Fix Missing value [size] by sending Google a real size value for each affected apparel or shoe variant, then verify the corrected value in Merchant Center.
Fix inaccurate Shopify or Google product categories when Merchant Center is inferring the wrong product type and requiring the wrong apparel attributes.
Fix Missing value [color] by sending Google a color value that matches the Shopify landing page, category metafield, or color variant option.
Fix Missing value [gender] by setting Shopify target gender, submitting male, female, or unisex, and verifying the value in Merchant Center.
Google sees a different price than your Shopify storefront or feed. Fix the mismatch so products can stay eligible and consistent.
Google sees a different stock state than your Shopify storefront or feed. Fix the mismatch so products can show again.
Run the free scan for public PDP/schema evidence. Use the connected audit to compare Shopify fields, storefront output, and Merchant Center diagnostics for product attribute drift.
