Organic traffic is down, and the business is fine. That is the surprising story coming out of Ahrefs Evolve, where 97thFloor interviewed 12 in-house marketers about how they are handling AI search. The piece, published on October 30, 2026 and updated on November 2, reports that a surprising number of them told a version of the same story: their traffic is down, but the business is fine, and in several cases it is better. The old attribution model is breaking, and the teams that have noticed are changing what they measure.
The examples are concrete. Jordin Frey, SEO Manager at U.S. Career Institute, said traffic is down about 30 percent, but leads are up, enrollments are up, and leads convert to enrollments at a higher rate than before. James Shaw, Head of Content Marketing and SEO at The Alliance, said referral traffic from AI tools converts at four times the rate of traditional organic traffic. Eden Wallace, Senior Manager of Web and AI Discoverability at NRG, described the same pattern from inside a large energy company. The numbers differ, but the shape is the same: fewer visits, better visitors.
The explanation is that AI search filters before it sends. A person who asks a chatbot for a recommendation arrives at a site already convinced, having had their questions answered before they clicked. The traffic that disappears is the browsing traffic, the people who used to click five results and read them all. The traffic that remains is the deciding traffic, the people who have already chosen and are ready to act. Fewer sessions, more conversions, is what that looks like in the analytics.
The old attribution model assumed that traffic was the product of search, and that more traffic meant more business. AI search breaks that assumption in both directions. It reduces traffic by answering questions without a visit, and it improves the traffic that remains by pre-qualifying it. A dashboard that only counts sessions will show a decline and miss the improvement entirely, which is why the marketers interviewed are rebuilding their reporting around leads, revenue, and conversion rate rather than visits.
Rand Fishkin, who spoke at Ahrefs Evolve on zero-click marketing, recently pointed people to Eduard Blacquiere's AI KPI model as a framework for the new measurement. The model treats AI visibility as a funnel of its own, with citations and mentions as the top, and attributed leads and revenue as the bottom. It is one of several frameworks emerging to fill the gap, and the fact that so many are appearing at once is a sign of how widely the old model has failed.
The practical answer is to measure what the business cares about. Track leads and revenue by source, including AI referral traffic as its own channel, and track the conversion rate of that traffic separately from classic organic. Use call tracking to capture the conversions that never appear in web analytics at all, because a large share of AI-driven business arrives by phone. And track citations and mentions alongside rankings, because a brand that is cited in answers is building the visibility that will become tomorrow's traffic.
The harder change is cultural. A team that has reported traffic growth for a decade will find it uncomfortable to report traffic decline, even when the business is growing. The marketers in the 97thFloor piece have made that shift, and their message to the rest of the industry is that the decline is not a failure. It is a filter, and the businesses that understand it will stop optimising for visits and start optimising for the visitors who matter.
Sources: 97thFloor, October 30, 2026, updated November 2, 2026.
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