Track AI-driven traffic from ChatGPT, Shop, Copilot, and more on a single screen. Shopify now tells you directly which queries surface your products and what to fix to boost their visibility.
Traffic coming through AI channels was largely a black box for the store. You couldn't tell how you were being found, or what to improve to make an impact.
Performance across major AI channels, ranking queries, and suggestions for improving product data are all consolidated on a dedicated admin page.
See your products' performance across major AI channels like ChatGPT, Shop, and Copilot on a single screen.
See which searches/questions your products surface for via AI. You learn demand terms directly.
Shopify provides concrete recommendations on how to fix your product data to increase exposure in AI channels.
| Item | Until now | After adding the Agentic Storefronts page |
|---|---|---|
| Delivery to AI channels | Already auto-delivered via Shopify Catalog | Same (automatic) |
| Understanding performance | Difficult No cross-channel view | Cross-channel view on one screen |
| Which queries you appear for | Invisible | Made visible |
| Improvement actions | Gut feeling and experience | Shopify recommends |
| Location in the admin | No dedicated page | Dedicated Agentic Storefronts page |
States: "Your products are automatically accessible to AI channels like ChatGPT, Shop, and Copilot through Shopify Catalog." The premise is that they're exposed with no additional setup on the merchant's side.
In the original article:no mention. The release note only states "a dedicated page will be added to the admin" and "New / Admin." See the Help Center for details.
Enter from the newly added dedicated page.
Check which channels and which queries are surfacing your products.
Improve titles, descriptions, and attributes → measure the impact in the following week's numbers.
Exposure to AI channels goes through Shopify Catalog. It's explicitly stated that products are published automatically with no extra work from merchants. Understand the structure where "the data source is the product data itself."
ChatGPT, Shop, and Copilot are given as examples. Like SEO,"discoverability on AI"being manageable in a single screen is significant. It's an era where AI search traffic can be measured head-on as a business metric.
Which queries you appear for = a reverse lookup of how AI understands your products. As a Search Console–like source of information in SEO terms, it can also be repurposed for product data improvements and new SKU planning.
"Recommendations for improving product data" are presented. The target of your efforts is neither advertising nor site structure, butthe quality of product titles, descriptions, and attributes— that's the design philosophy it converges on.
This announcement centers on a UI addition in admin.Export methods for pushing data out to BigQuery, GA4, etc. are not documented. For integrations that assume automation, you'll need to wait for follow-up documentation or check individually with the Help Center.
productUpdate Batchable. The release notes don't state whether a read-side recommendations API exists.