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15Module
E-commerce AI visibility for Shopify stores. Product optimization, structured data, and getting your products recommended by AI.
Available3 lessons18 min
Shopify GEO starts with what a product page answers. A buyer asks an assistant whether a product fits their situation, so the sentences that get a product named are who it is for stated as a situation, what it works with named individually, and who should buy something else; specification tables support that answer without being it. On the platform side, Shopify has three hiding mechanisms with different reaches: a robots meta tag in the theme head leaves the product in the sitemap, while unlisted status and the seo.hidden metafield both remove it, and the sitemap is how a retrieval system learns a URL exists at all. Unlisted is the broader of those two. Customise robots.txt by creating robots.txt.liquid and adding to the Liquid robots object rather than replacing it with static text, because Shopify updates the default rules. Stores then lose answers to four theme and app decisions: variant detail computed on selection rather than rendered into the page, review content injected after load, filtered collection URLs multiplying pages with nothing written on them, and more than one app writing structured data that contradicts the page.
An assistant asked to recommend a product is answering a question about fit, and most product pages answer a different question: what the thing is made of and how big it is.
So this module is half writing and half platform. The writing is three sentences per product on the twenty that carry your revenue. The platform half is knowing which of Shopify's hiding mechanisms removes a product from the sitemap, and which theme and app decisions leave the answer out of the response entirely.