Shopify and AI Shopping: How to Get Your Products Recommended by ChatGPT

A growing number of shoppers no longer start with a search box. They ask an AI assistant: “What’s a good vitamin C serum for sensitive skin under $40?” or “Which running shoes are best for flat feet?” The assistant replies with a shortlist, and increasingly the shopper can buy right there in the chat.

If your products aren’t on that shortlist, you’re invisible to a fast-growing, high-intent group of buyers. Below is what’s changed and what to fix first.

AI shopping is no longer a side channel

The numbers moved quickly this year. In its Q1 2026 results, Shopify reported that AI-driven traffic to its merchants’ stores grew 8x year on year and orders from AI-powered searches grew nearly 13x.

The quality of that traffic stands out too. According to Shopify’s own analysis of Q1 2026 data:

• AI-referred sessions converted at nearly 50% higher rates than organic search on product pages.
• Orders attributed to AI-powered search had 14% higher average order values.
• More than half of AI-referred sessions started directly on a product page, compared with about 20% of organic search sessions.

Shoppers who arrive from an AI assistant have usually already decided what they want. They’re comparing options rather than browsing.

Your catalog is probably already in AI channels

Shopify’s agentic storefronts make eligible stores’ products discoverable in AI shopping channels, including ChatGPT, Google AI Mode and Gemini, Microsoft Copilot and Meta’s shopping surfaces. The feature is active by default for eligible stores, and products reach those channels through Shopify Catalog or existing integrations like Google Merchant Center.

That’s good news, but being in the catalog isn’t the same as being recommended. The assistant still has to decide your product is the best match for what the shopper asked. That decision comes down to the data you give it.

Product data is your new SEO

When someone asks for “a waterproof hiking backpack under 1.5 kg with a laptop sleeve”, the assistant can only recommend products whose data says they’re waterproof, weigh under 1.5 kg and have a laptop sleeve. If that information lives only in a product photo, or isn’t anywhere at all, you won’t make the cut.

Audit your catalog against the questions shoppers actually ask:

Use Shopify’s metafields and product categories to store attributes as structured data rather than burying them in description paragraphs. Then make sure your Google Merchant Center feed carries the same detail.

Product pages still have to do the selling

Structured data gets you onto the shortlist, and your product page closes the sale. It’s also what AI assistants read when they need more context.

• Answer buyer questions on the page. Sizing guidance, ingredients, care instructions, what’s in the box, how it compares with your other products. A short FAQ on key product pages helps shoppers and AI alike.
• Turn collection pages into buying guides. A few paragraphs explaining how to choose between the products in a collection gives search engines and AI assistants something substantive to cite.
• Keep variants tidy. Use canonical URLs so color and size variants don’t compete with each other as duplicate pages.
• Keep it fast. Heavy apps, oversized images and unused scripts slow product pages down, which costs you rankings and conversions.

Reviews carry more weight than ever

AI assistants often summarize what customers say about a product: “reviewers love the fit but say it runs small.” A steady flow of detailed, recent reviews gives the assistant something positive and specific to say. Ask every customer, at the right moment, and respond to reviews, especially the critical ones. (Reviews only help if machines can read them. We built our own Shopify app, Review Optimiza, to sync your latest reviews into structured data automatically for this reason.)

Custom features that help AI and humans

Sometimes the biggest wins come from building something the theme can’t do out of the box. For a fast-growing cosmetics brand, we handled a rebrand, rebuilt the Shopify store, and built a custom bundle-builder app to support its expansion from the US into the UK, alongside SEO and AEO work. The result was 18% more completed checkouts.

Features like bundle builders, product finders and comparison tools make it easier for shoppers to buy. They also give you more structured, specific product information for search engines and AI assistants to work with.

A quick checklist for this quarter

1. Confirm your store’s agentic storefront channels are active in your Shopify admin.
2. Audit your top 20 products’ titles, attributes and descriptions against real shopper questions.
3. Move key attributes into metafields and check your Google Merchant Center feed for errors.
4. Add FAQs to your best-selling product pages and buying guides to your main collections.
5. Set up a consistent review request flow.
6. Check your product page speed on mobile and remove apps you no longer use.
7. Track AI referrals (chatgpt.com, perplexity.ai, copilot.microsoft.com) in your analytics.

AI shopping assistants reward stores that make their products easy to understand. The same work (complete product data, helpful product pages, fresh reviews and a fast store) helps you in Google, in AI assistants and with the shoppers themselves.

If you’d like a team that can build the store, the custom features and the SEO and AEO behind it, get in touch.