Shopify shared remarkable data on the impact of AI-powered search experiences on e-commerce. According to the statements made within the scope of the company’s second quarter financial results, traffic and orders coming through artificial intelligence tools tripled compared to the same period last year. Shopify management states that this growth occurred not by replacing Google and other traditional search engines, but by creating a new channel that complements existing search habits. Thus, the company argues that productive artificial intelligence presents a different picture in e-commerce, unlike the negative traffic effects seen in the publishing industry.
Company President Harley Finkelstein said at the second quarter financial results meeting with investors that artificial intelligence has become a supporter of search rather than an alternative to it. According to Finkelstein, this change has had positive consequences, especially for small and medium-sized businesses, which make up the majority of Shopify’s customer base. The company stated that artificial intelligence-supported search traffic was also effective in the revenue performance that exceeded expectations. Despite this, it was particularly emphasized that traditional search channels remain important.
The financial results announced by Shopify also contain figures that support this growth. The company’s second quarter revenue increased by 36 percent compared to the same period last year, reaching $3.6 billion. Analysts’ expectation was at 3.4 billion dollars. Gross operating profit also rose 31 percent to $1.71 billion, beating market estimates of $1.63 billion.
Artificial intelligence offers more accurate results in product discovery
Finkelstein stated that artificial intelligence-supported search systems work differently than classical search engines. Stating that traditional search engines mostly rank results according to the popularity of certain keywords, the manager stated that artificial intelligence systems try to understand the real needs of the user by using structured data in the Shopify product catalog. He stated that thus, more appropriate results can be produced not only according to word matches, but also according to the usage scenario of the product and different criteria.
As an example, a user scenario was shared, looking for the most suitable model that can fit three child seats in the same sedan car. According to Finkelstein, while traditional search engines largely focus on the keyword “child seat”, artificial intelligence-supported systems evaluate different variables such as vehicle type, seat dimensions and the placement of three seats at the same time. As a result, products that are more suitable for users’ needs are recommended and the likelihood of purchasing increases.
The company stated that there was a significant change in the shopping process. According to shared data, approximately half of the users directed by artificial intelligence tools directly access the product detail page. This rate is 2.5 times higher than traditional search traffic. Directing users directly to pages closer to the purchasing stage is considered one of the important factors that increase conversion rates for stores.
In addition, it was announced that 75 percent of artificial intelligence-driven purchases in the second quarter were made outside Shopify’s top 100 product categories. The company thinks this is a remarkable development, especially for small businesses selling niche products. Artificial intelligence-supported recommendation systems can provide more successful results than traditional search methods in matching lesser-known products with users’ needs.
On the other hand, Shopify predicts that artificial intelligence will take on a greater role not only in the product discovery side, but in the entire shopping process. While the company states that its reliable payment infrastructure will provide an advantage in this transformation, it continues its integration efforts with different artificial intelligence platforms. In addition to the connection solutions developed for Claude, ChatGPT, Perplexity, Manus, Replit and Vercel, it is also compatible with artificial intelligence-supported development platforms such as Lovable. In this way, sellers can carry out the process of creating and managing stores on Shopify more flexibly by using different artificial intelligence tools.
While research showing that artificial intelligence summaries reduce click-through rates on news sites has come to the fore recently, the data shared by Shopify points to a different trend on the e-commerce side. According to the company’s statements, artificial intelligence-supported searches complement existing search traffic rather than reducing it, and especially make the product discovery and purchasing process shorter. As artificial intelligence-supported shopping experiences become more widespread in the coming period, how this effect will be shaped throughout the industry will become clearer with new data to be announced.
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