ChatGPT ad visits generated 64 percent less revenue per visit than Google Search in US traffic, according to a study covered by Search Engine Land on November 2, 2026. The finding quantifies a question advertisers have asked since ChatGPT ads appeared: does traffic from an AI chatbot convert like traffic from a search engine? On this evidence, the answer is not yet, and the gap is large enough to reshape how advertisers value the two channels.
The study's central comparison is revenue per visit, a metric that captures what actually happens after the click, not just how cheap the click was. ChatGPT ad visits produced 64 percent less revenue per visit than Google Search visits in US traffic, which means an advertiser would need far more ChatGPT visits to generate the same sales as a smaller number of Google visits.
Two further figures sharpen the picture. Researchers estimated that a cost per click of 0.26 dollars would match Google's ad returns, giving advertisers a concrete benchmark for what ChatGPT clicks should cost to be competitive. Yet one ChatGPT advertiser in the data reported paying 1.72 dollars per click, far above that benchmark, which suggests early ChatGPT ad pricing has not yet settled at a level its conversion performance can support.
Perhaps the most striking finding is that most advertisers in the data saw no sales from ChatGPT ad visits. That does not mean ChatGPT traffic is worthless: it may assist discovery, build awareness, or support later conversions that the study did not attribute. But for advertisers judged on direct sales, a channel where most participants record no sales is a difficult budget line to defend.
The result also fits what is known about intent. A Google searcher typing a product query has usually already decided to look for something to buy, while a ChatGPT user may be exploring, comparing, or asking an open-ended question. Ads shown during exploration face a longer path to purchase, and many of those paths end without a sale, or end later through a different channel that gets the credit.
The gap between the estimated break-even click price of 0.26 dollars and the reported 1.72 dollars paid by one advertiser is the study's most actionable insight. If those figures are representative, advertisers paying anywhere near the higher figure are overpaying relative to the revenue the visits generate, at least on a direct-sales basis. Either prices must fall, conversion must improve, or advertisers must value ChatGPT visits for something other than immediate sales.
That adjustment may come naturally as the format matures. Early ad inventory often carries premium pricing before performance data forces it down, and chatbot advertising is still young. Advertisers who wait for pricing to reflect performance, or who negotiate with the benchmark in hand, may find the channel becomes viable later even if it looks expensive now.
Advertisers should segment ChatGPT traffic separately from Google Search in their reporting, so the weaker revenue per visit is visible rather than buried in a blended average. They should also judge ChatGPT ads on assisted value, such as later branded searches or email signups, before writing the channel off entirely, since a discovery visit can still be worth something even when it does not close a sale on the spot.
Above all, advertisers should not pay Google prices for ChatGPT clicks until the revenue per visit justifies it. The study gives them a benchmark to argue with, and the most disciplined response is to cap bids near what the visits actually return, test small, and scale only when the sales data, not the novelty, supports it.
Sources: Search Engine Land, November 2, 2026, covering a study of ChatGPT advertising performance in US traffic.
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