What Shopify’s AI-shopping data says about product information

Shopify reported higher conversion among AI-referred shoppers whose recommendations used its structured Catalog data. The result is relevant to product-data quality, but it does not show that adding schema markup to any store will double sales.

A growing referral channel

In its Q2 2026 analysis, published on 11 August, Shopify reported 197% year-over-year growth in AI-referred sessions and roughly three times as many orders from those visits. Organic search sessions grew 12%, from a much larger base.

Those growth rates alone do not reveal either channel’s share of sales. Nor does comparing them with first-quarter year-over-year multiples establish how traffic changed between the two quarters: the comparison periods differ.

About half of AI-referred sessions landed on individual product pages. That makes the information on those landing pages particularly relevant to the customer’s next decision.

What the Catalog comparison measures

Shopify reported twice the conversion rate when AI recommendations used structured Shopify Catalog data, compared with AI sessions relying on scraped or third-party product feeds.

Catalog is a particular product-data system. Its feeds and integrations are not interchangeable with the JSON-LD a merchant adds to a webpage. The analysis also compares observed shopping journeys rather than a randomised test of adding structured data. Shopper intent, product selection and the referring experience may contribute to the difference.

Accurate prices, availability and specifications are sensible maintenance priorities. The study does not isolate how much conversion improvement any one of those changes would produce.

Category differences matter

AI-referred conversion relative to organic search varied by category: Shopify reported 2.4 times the rate for watches, 2.3 for necklaces and 1.6 for apparel. These are comparisons within Shopify’s data, not targets every merchant should expect to reach.

Use the client’s own category and landing-page results when deciding where to invest. A small number of high-intent visits can convert well while still contributing little to overall revenue.

Check the product information customers actually receive

Compare the visible page, the structured markup and any feed submitted to a shopping platform. Prices, currency, variants and stock status should agree. Put specifications in accessible text as well as photographs, and explain compatibility or sizing where customers need it.

Then inspect the landing experience: does the page deliver what the referral promised, and can the customer select the relevant variant? Track visits, orders and revenue together. A higher conversion percentage by itself is not enough to judge the value of the channel.