AI-referred sessions to Shopify merchant storefronts jumped roughly 197% year over year in Q2 — a stark increase that sounds like a signal shift. It isn’t, at least not yet. Organic search also grew (about 12%) on a much larger base, and remains the single biggest source of referral traffic for merchants. For e-commerce teams, the takeaway is practical: rapid AI discovery changes how shoppers arrive, but it doesn’t replace the foundational role of search.
Key findings: strong AI growth, established search still leads
Shopify’s second-quarter commerce data shows AI-referred sessions and orders roughly tripled across nearly every product category the company tracks. Yet organic search — the traditional search channel — continued to send more visits to merchant storefronts than all tracked AI platforms combined.
The two channels appear to serve different shopper intents. In specification-heavy categories, where buyers compare specs, compatibility and reviews, AI-referred visitors converted at about twice the rate of organic visitors. In broader, taste-driven categories, organic search remained the larger discovery route. Across categories, AI delivered roughly 1.3 times more first-time customers than organic search.
Structured product data lifts conversions for AI and search
Shopify found a clear correlation between structured catalog data and conversion performance: when AI systems used Shopify Catalog structured data rather than scraped or third-party feeds, AI-referred shoppers converted at about double the rate. Shopify framed this as consistent with Google’s guidance that features like AI Overviews and AI Mode use the same core ranking systems as Google Search — meaning the same structured product data helps visibility across both environments.
What merchants should do now
These results change priorities more than they change strategy. First, continue investing in organic search: SEO remains the largest source of traffic and a steady revenue driver. Second, treat structured product data as cross-channel infrastructure — clean, complete product feeds improve performance in AI surfaces and in traditional search.
Third, segment channel strategy by category and customer lifecycle. AI’s conversion advantage shows up in research-heavy categories and in attracting first-time buyers; that suggests testing AI-focused creative, specification-rich content and catalog enhancements specifically where buyers compare details. For taste-driven categories, preserve experience and discovery tactics that work for organic search.
Limits and what to watch
Shopify did not disclose sample size or detailed methodology for this analysis, which limits how broadly the findings can be generalized. Still, the directional patterns align with other industry signals: AI features are accelerating discovery while established search retains scale.
Practically, merchants should prioritize three actions: audit and enrich product catalogs; instrument analytics to track sessions, conversion and first-time-customer rates by channel and category; and run targeted tests that measure whether structured data and AI-optimised content move conversion metrics. Watch for expanded disclosures from Shopify and independent third-party studies that clarify sample sizes, platform coverage and attribution nuances — those will determine how confidently teams can apply these signals across merchant mixes.
AI referrals are growing fast and are already materially different in behavior and conversion. But the evidence from Shopify’s Q2 data is straightforward: optimize for both. Structured product data buys wins everywhere; where shoppers make specification-led decisions, prioritize catalog completeness and comparison-ready content — those are the places AI seems to add the most incremental value today.
