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How to get your Shopify products recommended by ChatGPT and other AI shopping agents

By Pratik Poddar, developer of Botfound · Updated 10 November 2026

ChatGPT, Copilot, Gemini and other AI shopping agents choose products from structured catalog data, not from your theme. On Shopify that data reaches them through Shopify Catalog and your store's agent endpoint. To be recommended, make each product easy to match: set a Shopify product category, fill its category attributes, write a specific description, add barcodes and image alt text, keep it active and in stock, then test the searches shoppers actually ask.

Where AI agents get your products

Shopify's agentic storefronts make products discoverable in AI channels such as ChatGPT, Microsoft Copilot and Google AI Mode and Gemini. Products reach most of those channels through Shopify Catalog, which reads your titles, descriptions, images, prices, options and availability. Shopify is clear that being in Catalog doesn't guarantee a placement: each AI channel decides what to show. What you control is how complete and unambiguous your product data is.

The checklist, in order of impact

  1. Set a Shopify product category on every product. It's the first thing an agent uses to decide whether a product even answers "running shoes" or "linen shirt". Use the Standard Product Taxonomy, not only your own product type.
  2. Fill the category attributes (category metafields) such as colour, material, size, age group and target gender. Shoppers ask "a waterproof jacket for women"; attributes are how an agent checks "waterproof" and "women".
  3. Write a description that states facts. What it is, what it's made of, who it's for, sizes and care. Avoid copying the supplier text that a hundred other stores also use.
  4. Keep variant data out of titles. "Linen Shirt" with Size and Colour options reads better to an agent than "Linen Shirt - Blue - XL".
  5. Add barcodes (GTIN, UPC or EAN) where your products have them, so an agent can tell your item is the exact one a shopper named.
  6. Add alt text to every product image, describing the product and variant.
  7. Check the basics: status Active, published to the Online Store, in stock, and shipping and refund policies filled in.
  8. Test real shopper queries against your store's agent search, not just your storefront search. See how to test what AI agents find.

What you don't need to do

You don't need to hand-write an agents.md, an llms.txt or a UCP profile. Shopify serves those for your store automatically. Spend the time on product data instead.

Doing it across a whole catalog

The steps above are quick for ten products and slow for a thousand. Botfound scores every product against these checks, shows which gaps cost the most, and fixes categories, category attributes, product types and alt text in bulk with a preview first and one-click undo after. Written by Tinkerer (Pratik Poddar), the developer of Botfound.

Questions

Can I pay to be recommended by ChatGPT?

No. Shopify says inclusion in Shopify Catalog doesn't guarantee that a product appears in a specific AI answer or position. Complete, accurate product data improves the chance an agent matches your product to a shopper's question.

Do I need a separate product feed for ChatGPT?

Not for Shopify Catalog channels. Shopify uses your product data from Shopify itself. Google AI Mode and Gemini use the Google & YouTube channel or Google Merchant Center.

Which product field matters most?

The Shopify product category, followed by its category attributes. Without a category an agent has to guess what the product is.

Want to see where your store stands first? The free Botfound check scores your 50 newest public products and your discovery files in about 10 seconds, with no install and no sign-up. Botfound is on the Shopify App Store: free for your first 100 products; Pro is US$19/month with a 7-day free trial.

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Botfound by Tinkerer (Pratik Poddar) · 76, Vrindavan Vihar, Ajmer Road, Jaipur, Rajasthan 302019, India · pratik.phodu@gmail.com
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