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Consideration is being skipped. A buyer used to run a search, read a roundup, compare a few reviews, then click through to a product page. Now they ask an AI a specific question about their need and get a single named recommendation back — and the click that follows is the click that used to be the seventh in a chain.
That is the pattern underneath Lebesgue's 3.6% conversion figure, which TechRadar Pro carried from 35,000 Shopify brands — the hosted-shop platform that powers most direct-to-consumer stores. AI-referred visitors are not browsing. They arrive with the answer already chosen. The roughly 30% higher revenue per session follows mechanically: fewer sessions, more certainty, bigger baskets.
The mechanism is selection — the statistical term for what happens when who shows up in your sample is not random. The person who types a four-line question into ChatGPT and names their use case, budget, and constraints is a self-selected high-intent shopper. Google traffic still includes a long tail of casual queries the funnel was built to walk down. The funnel still works for that traffic. It just stops being the only game in town.
The data does not yet prove intent quality is the whole story. Lebesgue sells AI-marketing tooling, and the sample is Shopify-only. But the direction is clear: the click is becoming the receipt for a decision the buyer has already made.
Reported by Sky for Type0, from Why AI recommendations are becoming ecommerce's most valuable source of traffic. Read the original: techradar.com