Shopify: Customers Referred by AI Buy More Often and Spend More

Shopify has published data showing that customers redirected to online stores from artificial intelligence tools are noticeably more likely to buy and spend more than those arriving via traditional search. The company, which powers millions of online stores worldwide, now treats this traffic as a new, standalone sales channel rather than just an SEO add-on.

What the Numbers Show

The data comes from a Shopify analysis published on the company's blog for enterprise customers and covers traffic generated by AI assistants such as ChatGPT, as well as other conversational tools that direct users straight to stores. The report's authors compared the behavior of these customers with classic traffic from web search engines.

The most telling difference is in conversion. Sessions initiated by AI end in a purchase almost 50 percent more often than sessions from organic search. On top of that comes a higher average cart value, meaning AI-referred customers aren't just more likely to buy, they also leave more money in the store per transaction.

A Shorter Path to Purchase

Shopify describes this phenomenon as a compression of the shopping journey. In the classic model, a customer runs three to five searches, browses eight to twelve pages, and spreads the decision over several days. A conversation with an AI assistant can condense that entire process into a single session, after which the user lands directly on a specific product page.

This is confirmed by the statistic on entry points. Over half of AI sessions begin directly on a product page, compared with just one in five in organic traffic. In other words, a customer arriving from a chatbot conversation already knows what they're looking for and expects to complete the purchase quickly.

AI search collapses the discovery and consideration phases of the shopping journey into a single conversation - Kyle Risley, Shopify

Scale of Growth

The growth rate of this channel is fast. The number of orders attributed to AI traffic increased nearly thirteenfold year over year, and the number of sessions coming directly from chatbots grew more than eightfold. Even so, organic search still accounts for far more store visits than all AI platforms combined, and its volume grew by about 5 percent over the same period.

This means AI is not yet replacing classic search, but is adding a new, fast-growing stream of customers with a distinctly different purchasing profile. Shopify compared the effectiveness of both channels across 25 merchant categories, and in 23 of them AI traffic generated higher conversion than SEO, by 56 percent on average.

What It Means for Merchants

For online store owners, including those operating in Poland on the Shopify platform, the takeaways are practical. The company recommends measuring AI traffic separately from other sources, optimizing product pages for structured data that language models can read, and building brand credibility in content available across the web, not just on the merchant's own site.

Shopify also recommends preparing for transactions carried out directly by AI agents, a scenario in which it is not the customer but software acting on their behalf that browses offers and completes the purchase. At the same time, the company stresses that investing in classic SEO still pays off, since the two channels reinforce each other and organic search remains the main source of traffic.

Market Context

Shopify's data fits into the broader trend of agentic commerce, meaning purchases carried out with the involvement of autonomous AI agents, which e-commerce companies are increasingly discussing. OpenAI previously tested direct purchases within ChatGPT, and Google is developing its own payment protocol tied to Gemini and its search engine, showing that major tech players view AI-initiated purchases as a separate sales channel worth investing in.

For Polish merchants using Shopify, this translates into a concrete business recommendation: it's worth checking now whether product pages are readable by language models and whether the store appears in the responses of popular AI assistants, before this channel grows large enough that ignoring it starts to cost real sales.