Shopify GMV grew 32 percent, and orders from AI tripled
Shopify reported its second quarter results on August 5, 2026. GMV reached $115.6 billion and revenue $3.58 billion. Alongside the figures in the press release there is a second headline, this one from the investor presentation: AI traffic to merchant storefronts and orders originating from AI search both tripled in a year.
A pace now five quarters long
Shopify's press release of August 5, 2026 gives the headline items as follows. Revenue of $3,583 million, up 34 percent year over year (33 percent in constant currency). GMV of $115,567 million, up 32 percent (30 percent in constant currency). Gross profit of $1,708 million, up 31 percent. Free cash flow of $654 million at an 18 percent margin. Operating income of $488 million, up 68 percent.
The composition of revenue is in the release too: subscription solutions at $802 million and merchant solutions at $2,781 million. Monthly recurring revenue rose to $221 million from $185 million a year earlier.
In his comment in the release, company President Harley Finkelstein called it "a monster quarter" and underlined that GMV, revenue, gross profit and free cash flow all grew by more than 30 percent.
The AI numbers are in the presentation, not the release
One distinction is worth stating clearly. The press release we reviewed gives no separate breakdown for AI driven sales; its wording on the subject is a general line about AI expanding what is possible. The numbers below come from the investor presentation as reported by Investing.com.
According to that presentation, AI traffic to merchant storefronts rose 3x year over year, and orders originating from AI search tripled as well. The new buyer order rate from AI channels ran at 2x other channels. AI searches powered by Catalog, Shopify's structured product data, convert at twice the rate of those relying on scraped data. One more figure stands out: 75 percent of AI attributed orders came from outside the top 100 categories.
The same presentation carries numbers for AI use on the merchant side. 34 million Sidekick conversations were recorded in the quarter, daily active merchants were up 3.6x year over year, and merchants created 36,000 custom apps with Sidekick.
The Q3 outlook in the release reads as follows: revenue is expected to grow at a low thirties percentage rate, gross profit dollars at a mid to high twenties rate, operating expenses to land at 33 to 34 percent of revenue, stock based compensation at $150 million, and the free cash flow margin in the high teens to low twenties.
AI is now being measured as a traffic source
The real news here is not the growth rate. It is that a major commerce platform has started reporting AI driven traffic and orders as a channel of their own. Once a line item gets reported, it becomes something sellers can target.
That makes the Catalog comparison the most instructive data point. AI searches fed by structured product data converting at twice the rate of those built on scraped pages means product data quality is now tied directly to sales. The difference between "I already have a store" and "my product data sits in a form machines can read" has become a measurable one.
The category split is an interesting signal too. With 75 percent of AI attributed orders coming from outside the top 100 categories, this channel appears to be doing more work in niche and long tail queries than in mainstream products. That reading is ours; the presentation offers no interpretation. But for sellers with a small, specialised product range the implication is clear: this may be a space where they are not standing in the shadow of large brands.
A caveat is in order. These figures are one platform's own measurement and part of a story told to investors. If a tripling line item started from a low base, the ratio can look large while the absolute volume stays small. The release gives no figure for this item's share of the total. That assessment is ours.
What it means for businesses in Türkiye
The assessment below is our reading, not something stated in the sources. None of them contains a Türkiye specific breakdown or local note.
A large share of e-commerce traffic in Türkiye arrives from marketplaces and from search. Against that backdrop a third door is becoming visible: the shopper finding a product by asking an AI assistant. Shopify's data shows that door is not only open but now measurable.
Three practical notes. First, product data: complete and consistent titles, descriptions, variants, stock and price fields are no longer just a tidiness question but a machine readability question. The Catalog comparison says exactly that. Second, structured markup: Product schema and correct fields on product pages create the difference between a page left to be scraped and a source that feeds. Third, measurement: seeing traffic from AI assistants separately requires splitting referrers out in analytics, otherwise the channel disappears into the direct traffic pool.
None of this requires moving to a new platform. What it requires is taking the product data in your existing store seriously. That last sentence is our own comment.
The UNALSOFT take
In our e-commerce panel work, product data always looks like background labour: the category tree, variants, filling fields. This quarter's data pulls that background work to the front. Your products are now read not only by people but by systems searching on their behalf, and the readability gap shows up in conversion. The first step in the panel is clearing the empty and inconsistent fields in the catalogue; the visibility conversation only makes sense after that.
What is your product data telling the machines?
Let's review your catalogue together, starting with the missing fields.