Shopify says AI orders tripled while search still grows. What D2C brands should change
Shopify's Q2 2026 call says AI-driven orders tripled and search sessions still grew. Why D2C brands should run feeds and search work side by side.
The short answer
Shopify said on its Q2 2026 earnings call that AI-driven traffic and orders to its stores tripled year on year, while traditional search still held about a third of storefront sessions. For D2C brands the lesson is to add AI work beside search work, not instead of it, and to measure both channels separately this quarter.
Key takeaways
- Shopify reported on 5 August 2026 that AI-driven traffic and orders to Shopify stores tripled year on year in Q2 2026.
- On the same call, Shopify said traditional search sessions rose 1.3x over two years and still hold roughly a third of storefront sessions.
- Shopify said half of AI-referred sessions in Q2 2026 landed directly on a product page, so product pages and feeds carry the AI channel.
- AI is adding a channel beside search, so cutting search work to fund AI work removes the larger source of sessions.
- D2C brands should report AI and search sessions, orders and conversion separately each quarter, starting with Q3 2026.
In this article
What Shopify said on 5 August
Shopify gave the clearest platform-level view yet of AI shopping on its Q2 2026 earnings call. President Harley Finkelstein said that both AI-driven traffic and orders to Shopify stores tripled year on year in the second quarter of 2026.1 These are company-reported figures across Shopify's merchants, not an independent panel.
The same remarks carried a second point that matters as much. Traditional search sessions to Shopify stores were up 1.3x over the past two years and still held roughly a third of all storefront sessions in Q2 2026.1 Finkelstein framed AI as a complement to search rather than a substitute, a framing TechCrunch led its report with.4
Our view: this is the most useful data point a D2C brand will get this quarter, because it comes from order data across a very large merchant base rather than from a survey of intentions.
Shopify Q2 2026
AI grew fast; search kept its share
Why "tripled" is a growth rate, not a share
Tripling describes growth from a small base, so it says little about how much of a store's revenue AI now drives. Shopify did not give AI's share of total orders on the call. A channel can triple and still be a minor source of sales for most stores.
Independent data points the same way. Adobe Digital Insights, which sells analytics software, measured AI-sourced traffic to US retail sites up 393% year on year in Q1 2026.2 Adobe also found that AI visits converted 42% better than other traffic in March 2026.2 Fast growth and strong conversion, from a base that is still small next to search and direct traffic.
Search is under pressure of its own, though not in the way the "AI replaces Google" story suggests. SparkToro's analysis of Similarweb clickstream data found that 68.01% of US Google searches ended without a click in January to April 2026, up from 60.45% in 2024.3 Fewer searches send a click, yet Shopify's search sessions still grew. More searching appears to be offsetting fewer clicks per search, at least for now.
Where AI shoppers land, and what that means for your pages
AI shoppers skip your home page. Finkelstein said half of all AI-referred sessions in Q2 2026 landed directly on a product description page, 2.5 times the rate for traditional search.1 He also said 75% of AI-attributed orders came from outside Shopify's top 100 categories.1
Two practical consequences follow. First, the product page is the landing page for this channel, so it has to answer the questions an assistant was asked: size, material, compatibility, delivery time, returns and price, as text on the page. Second, AI orders are not limited to a few big categories. A niche brand selling replacement filters or specialist cycling parts is as exposed as a fashion label.
Shopify also said AI searches powered by its Catalog converted at twice the rate of those using scraped data.1 That is Shopify describing its own product, so read it as a claim from an interested party. The direction is still plausible: structured product data with prices and stock that an engine can trust beats a page an engine has to guess at.
What should D2C brands change in Q3?
Keep search work funded and add AI work beside it. Our view: the brands that lose this year will be the ones that move budget from search to AI because a headline said search was dying. Shopify's own numbers say search is still the bigger source of storefront sessions.
- Keep the product feed complete. Titles, GTINs, variants, prices, stock and shipping times. Feeds serve Google Shopping and AI shopping surfaces from the same source, so one clean-up pays twice.
- Rewrite product pages so the answer to each common question is on the page as text, not in an image or a PDF size chart.
- Check which product pages receive AI-referred sessions and treat them as landing pages: price above the fold, stock status, delivery date and returns visible.
- Run a monthly prompt check on the questions shoppers actually ask about your category, and record which brands the engines name. Our guide to holiday shopping prompts shows how to build that list.
If the engines do not name your products at all, the causes are usually upstream of the product page. Why ChatGPT doesn't recommend your products walks through them in order.
How to measure both channels this quarter
Split AI and search in your reports now, so Q3 2026 gives you a baseline. Most analytics setups lump AI referrals into "referral" or leave them unattributed, which hides the channel that is growing fastest.
| Measure | AI engines | Search |
|---|---|---|
| Sessions | Referrals from ChatGPT, Gemini, Perplexity, Copilot, Claude | Organic search sessions |
| Landing pages | Share landing on product pages | Share landing on product pages |
| Orders and conversion | Orders and rate per session | Orders and rate per session |
| Visibility | Share of answer on a fixed prompt set | Rankings and impressions |
Our suggested quarterly scorecard. Report the two channels side by side, never blended.
Referral data undercounts AI influence, because many shoppers read an answer and then search for the brand or type the address. That is why the visibility row matters. Our view: a D2C brand should track share of answer across the engines its shoppers use, alongside the sessions it can see, and judge AI work on both.
Sources
- Shopify, Q2 2026 earnings call, 5 Aug 2026: company-reported figures for Shopify stores, Q2 2026 (Aug 2026)
- Adobe Digital Insights, AI-sourced traffic report: US retail sites, Q1 2026 and Mar 2026 (Apr 2026)
- SparkToro, less than one-third of Google searches send a click: Similarweb US desktop and mobile clickstream, Jan–Apr 2026 (Jun 2026)
- TechCrunch, Shopify says AI search is driving more traffic and sales, not replacing Google (Aug 2026)
