tapFunnel is new, so we have no client results to show you. These are other companies’ results — named, dated, and linked to the page they published them on, so you can check every one.
Each of these is a company reporting on its own traffic, not an agency reporting on a client it won’t name.
Single companies can be flukes. These two datasets cover enough traffic that they aren’t.
Traffic arriving from AI assistants converts at a materially higher rate than traditional organic traffic, across every dataset above, measured independently by companies with no shared interest. The buyer has already been pre-qualified by the assistant before they land on you — they arrive at the end of their research, not the start.
Self-reporting. Every first-party number here was published by the company that benefited from it. Nobody audits these. We link the source so you can judge the methodology yourself rather than take our summary for it.
Attribution is unreliable in both directions. Many AI assistants strip the referrer, so a large share of AI-driven visits land in analytics as direct traffic. Most sites undercount AI traffic rather than overcount it — but that also means nobody’s number here is exact.
The advantage may narrow. Ahrefs says so themselves: current click-through rates from AI search are probably the highest they will ever be, because the format is still novel. Conversion advantage is not a permanent property of the channel.
Volume is still small. AI search is single-digit to low-double-digit percentages of traffic for most businesses. The case for acting now is the per-visit value and the growth rate, not the volume today.
None of these are our clients. No result on this page came from work tapFunnel did. When we have client results, they will appear here with the client’s name attached, measured the way our methodology describes, and not before.