📰 Key Takeaways

On its Q2 earnings call, Shopify said AI search is driving meaningful business growth for the company rather than replacing traditional Google search. President Harley Finkelstein said AI has become a “complement” to search, not a “replacement” — and it’s especially benefiting long-tail e-commerce, including the small and mid-sized merchants that make up the bulk of Shopify’s customer base. In Q2, AI-driven traffic and orders grew threefold year-over-year. At the same time, traditional search traffic hasn’t shrunk — it’s actually grown 1.3x over the past two years and still accounts for roughly a third of total site visits.

Shopify’s revenue for the quarter grew 36% year-over-year to $3.6 billion, beating Wall Street’s expectation of $3.4 billion. Gross operating profit rose 31% year-over-year to $1.71 billion, also topping analyst estimates of $1.63 billion.

Finkelstein explained why AI search is particularly well-suited to e-commerce: traditional search engines rely on ranking against a handful of keywords, while AI agents make multiple calls into Shopify’s richer, structured product catalog data, matching products to what buyers actually need rather than just keywords. As an example, he described a buyer asking for “a car seat that fits three side by side in a sedan” — AI can understand multiple conditions at once, like size, vehicle type, and quantity, and surface products that genuinely fit the need instead of just whatever ranks highest.

On top of that, about half of AI-referred visits land directly on a product detail page — 2.5x the rate for traditional search. And in Q2, 75% of AI-attributed purchases happened outside Shopify’s traditional “sweet spot” of its top 100 categories. The company also believes that, thanks to its trusted checkout experience, Shopify stands to benefit as AI plays a bigger role in the transaction itself, and it has already partnered with a number of AI tools and agents.

💬 JudyAI Lab Take

Based on the growth data AI search is delivering for Shopify, this earnings report reveals a key signal: AI isn’t replacing traditional search — it’s unlocking long-tail demand that used to get ignored.

Shopify’s AI-driven orders tripled year-over-year in Q2, and traditional search traffic didn’t shrink either — it actually grew 1.3x over two years. There’s a logic here worth sitting with if you’re building with AI: AI agents excel at handling “multi-condition, non-keyword” complex queries — like a purchase decision that has to weigh size, vehicle type, and quantity all at once — something keyword-based ranking simply can’t do. Even more telling: 75% of AI-attributed purchases happened outside the traditionally popular categories. That means AI is helping people find products they couldn’t find before, not just competing for traffic that already existed. For teams building product or e-commerce applications, that’s a signal that how complete your structured data is may determine your visibility in the AI era sooner than SEO ranking optimization does.

If your product has a catalog of products or content, now’s the time to check whether your data structure is rich enough to support multi-condition matching by AI agents.

📅 Source Info

🔗 Further Reading