In the first four months of 2026, 68.01% of Google searches ended with no click to any website at all, according to an analysis of Similarweb panel data published by independent researcher Rand Fishkin’s firm SparkToro. That’s up from 60.45% in 2024 and 49% in 2019 — a trend that predates AI Overviews by half a decade, even though AI Overviews are the reason it’s currently accelerating.
What the zero-click number actually measures
SparkToro’s analysis covers desktop and mobile web searches, weighted two-to-one mobile-to-desktop, but excludes Google’s mobile app, where zero-click behavior is reportedly even more aggressive. The rise itself isn’t new: zero-click search has been climbing steadily since at least 2016, driven first by featured snippets, knowledge panels, and direct-answer boxes, long before generative AI entered a results page. What’s new is the slope of the climb.
What AI Overviews specifically add
AI Overviews now appear on more than 20% of all Google searches. Ahrefs analyzed 300,000 keywords, split evenly between searches with an AI Overview present and similar informational searches without one, and found that as of December 2025, the presence of an AI Overview correlated with a 58% lower click-through rate for the top-ranking page than a comparable keyword without one — up from the 34.5% reduction Ahrefs measured when it first ran the analysis in 2025. Ahrefs’ Ryan Law was blunt about the gap between that finding and Google’s own public claims: “It seems that Google doesn’t want us to see the clickthrough rate for AI Overviews.” Pew Research found a similar pattern independently: searches that triggered an AI summary produced a click only 8% of the time, versus 15% for searches without one.
The metric change bloggers are already seeing in Search Console
Anyone checking Google Search Console for their own blog has probably noticed a pattern that used to be unusual: impressions climbing while clicks fall, instead of moving together the way they always used to. Ahrefs calls this “the great decoupling” and traces it to two mechanical causes. AI Overviews often cite several source URLs at once for a single query, spreading impressions across multiple sites instead of concentrating them on whichever result ranks first — and when an AI Overview answers the question directly, a person has no reason to click through to any of the cited sources at all. Ahrefs found the correlation between impressions and clicks across its own tracked data flipped from a positive 0.425 in late 2024 to a negative 0.352 by early 2025, around the same time Google’s March 2025 core update roughly doubled how often an AI Overview appeared. A blog’s impressions going up is no longer, on its own, good news.
Who’s actually losing traffic, and who isn’t
The decline isn’t evenly distributed. Digital Content Next tracked Google search referrals for 19 major publishers and found a median year-over-year decline of 10% in May and June 2025 — 14% among non-news publishers, a smaller 7% among news publishers. Branded searches move the opposite direction: according to research from marketing agency Amsive, reported by Search Engine Journal, AI Overviews are associated with an 18% increase in click-through rate when someone searches for a specific site or brand by name rather than a general topic. That split matters more than the headline zero-click number: a blog that ranks for “how to grow an email list” is exposed to the full brunt of the AI Overview effect, while a blog whose readers search by name is largely insulated from it.
What publishers are actually doing instead of waiting it out
The publishers already living with this aren’t treating it as a search-optimization problem to be patched. Reach’s David Higgerson described the shift bluntly in comments to the BBC, reported by Search Engine Journal: “We’ve got millions of people who receive our alerts on WhatsApp. We’ve built newsletters.” Bauer Media’s Stuart Forrest made a related but distinct point about what still works inside search itself, framing it as a content-quality problem rather than a technical one: publishers need to be the site an AI Overview cites instead of a rival, and “it’s amazing the number of publishers that just give up on” doing that well. Both point toward the same underlying shift: an audience a publisher owns directly — a subscriber list, an app, a community — doesn’t lose value when Google changes how a results page looks, because Google was never what was holding that relationship together.
What this means for a blog that lives on organic search
A blogger whose traffic comes almost entirely from Google is exposed to a trend that started before generative AI and has now picked up speed because of it, and neither Google’s own explanations nor a single SEO fix are likely to reverse it. The workable response looks like what larger publishers are already doing at a bigger scale: building a channel Google doesn’t control, whether that’s a newsletter, a podcast feed, or a community, so a chunk of the audience arrives without going through a results page at all. Building that channel won’t recover lost search traffic. It puts a ceiling on how much of the business any single results-page redesign can threaten.
