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Problem:
Most Shopify themes ship with minimal or incorrect structured data. Product ratings missing, no return or shipping policy information, nothing on collection pages, and no store location data. AI search engines either ignore the brand or get the information wrong.
Solution:
Six standalone Liquid snippets that output validated JSON-LD across every meaningful page type, using real product, review, shipping, and return policy data pulled from live Shopify sources instead of hardcoded values.
How it works:
The structured data covers: Organization and WebSite on every page, BreadcrumbList on all page types, ProductGroup with individual variant data for multi variant products, ItemList and CollectionPage on collections, FAQPage on content pages, and one entry per physical retail location inside a grouped array. Product ratings come from the live reviews app Metafield. Return policy is read from real product tags so final sale items output a no returns flag instead of the standard window. Shipping outputs the store's actual transit window. Physical store locations are pulled from Shopify Admin rather than the marketing page, excluding warehouse, holding, and inactive locations that would otherwise appear as retail fronts. Validated at zero errors and zero warnings across all page types in production.
Tools:
A Python pipeline that groups hundreds of per color product pages into proper multi variant products, with 301 redirects for every archived URL.
Full store rebuilds on a modern Shopify stack, including React to Liquid migrations, with no content loss along the way.