The measured 2026 evidence (Adobe Analytics, Shopify) supports one specific expectation: AI-driven traffic that reaches checkout converts better than your average visitor, not worse, and that is a reversal from a year earlier. It does not support a precise number for your site, and it does not rule out your blended conversion rate dropping for an unrelated reason - a browsing agent adding sessions without adding sales. Those are two different effects, and confusing them is the mistake this page exists to prevent.
Landscape as of September 2026: the protocol layer behind agent checkout is still moving - OpenAI pulled its one-click Instant Checkout back to a recommend-and-redirect model in March 2026, and Google's competing approach launched the same quarter. A shift back toward a merchant-hosted checkout step could itself change these conversion figures again; this page reflects the state as of this month.
What the numbers actually say (and nothing more than that)
Two figures anchor everything on this page, and both are named, dated, and someone else's measurement, not ours:
AI-driven traffic to US retail sites converted 42% better than non-AI traffic - a reversal from the same comparison twelve months earlier, when AI-driven traffic converted 38% worse.
AI-attributed orders grew 11 times over across the same window - a volume figure, not a rate, but the direction of travel is the same one Adobe's conversion figure implies.
Neither figure is a benchmark you can apply to your own site directly. They describe an aggregate market shift, measured by two vendors on their own customer bases, in the months named. Anything more specific than "the direction is up, and the reversal from a year ago is real" would be an invented number, which is exactly what this page is written not to hand you.
Our reasoning about why, clearly separated from the measured figures above
[hypothesis, our inference, not stated by Adobe or Shopify] - the most plausible explanation for the reversal is that 2025's AI-referred traffic was mostly curiosity: a person asking a chatbot a question and clicking through without firm intent, which converts poorly the way any early-funnel traffic does. By 2026, more of that traffic is an agent executing a purchase a customer already decided on - the comparison shopping is finished before the agent ever reaches your site, so what arrives is closer to a warm lead than a cold click. If that reasoning is right, it predicts the reversal keeps strengthening as more of the volume shifts from browsing agents to completing agents; if it is wrong, the 42% figure could just as easily be a one-quarter anomaly. We have not tested which.
The way this can go wrong that has nothing to do with the numbers above
Everything above is about agents that convert. A separate, unrelated effect can drag your reported conversion rate down at the same time: an agent driving a real browser on a customer's behalf generates a session - a page view, maybe several - without necessarily buying on that visit. That session lands in your denominator (total sessions) whether or not it produces a sale, which mechanically lowers the rate you report even if your actual buyer behaviour has not changed at all. [hypothesis - a mechanical consequence of how the rate is calculated, not a figure either cited source measured]. The practical consequence: a conversion rate that looks worse this quarter is not proof that agent commerce is hurting you. It could equally mean more browsing agents are inflating your session count while a separate, smaller population of completing agents converts better than ever - two effects in the same number, pulling in opposite directions.
Segment agent sessions from human ones before computing the rate, rather than reading one blended number. The Webclat demo store tags every session with an explicit agent-mode dimension in both warehouse legs it writes to, precisely so the two populations can be reported separately instead of cancelling each other out in one figure. See the working exhibit at store.webclat.com/agentic-commerce.