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Fix the catalog
Taxonomy, attributes, and metafields, which are the mechanics of making your catalog readable to AI.
Shopify infers your product attributes. Here is why that is a problem.
Shopify Catalog now auto-infers material, style, and occasion from your product data, marked as Inferred with varying accuracy. When you do not fill the real attributes, agents shop on Shopify's guess.
Every Shopify store now serves an agents.md. Here is what to do with it.
Shopify now auto-serves /agents.md, /llms.txt, and /llms-full.txt on every store, the canonical files AI agents read to learn how your store works. Most merchants will leave the defaults. That is a mistake.
Sitemap.xml for AI discovery: helping agents find every product
A sitemap is how an agent finds the products that are not linked from your homepage. Here is how Shopify's sitemaps work and how to make sure your full catalog is discoverable.
What a robots.txt file is, and why it decides if AI can see your store
Around 40% of Shopify stores quietly block the AI crawlers that now drive discovery. Here is what robots.txt does, which bots to allow, and the exact lines to add.
Writing product descriptions for AI discovery and human conversion
A product description now has two readers: the shopper who buys and the assistant that recommends. Here is how to write one that serves both without sounding like a spec sheet.
Product schema for AI shopping: what actually matters
Structured data is how an assistant reads a product without guessing. Here is which schema fields move the needle, which platforms lean on them, and how to add them on Shopify.
How to set up llms.txt for your Shopify store
robots.txt says who can read you. llms.txt hands an assistant a clean map of what matters. Here is what to put in it and two ways to publish it on Shopify.
Taxonomy and metafields: how to make a catalog AI can read
The mechanics of mapping products to the Shopify Standard Product Taxonomy and writing attributes to metafields.
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