How AI Overviews killed the click. A zero-click economy emerges.

The clicks are gone

Seer Interactive ran the most rigorous published study to date: 3,119 queries, 42 organizations, 25.1 million organic impressions, 1.1 million paid impressions. The results are unambiguous.

• Organic CTR for AI Overview queries collapsed from 1.76% to 0.61% — a 61% drop.
• Paid CTR for AIO queries collapsed from 19.7% to 6.34% — a 68% drop.
• Pew Research (n=900): when an AI summary appears, only 8% of users click any traditional link vs 15% without — and only 1% click a source within the AI summary itself.
• Ahrefs (300K-keyword update): AI Overviews reduce clicks by 58%.

The platforms talk about this differently than the data does. Google says AI Overviews drive engagement and citations. The empirical record across multiple independent studies says CTR is in free fall.

“Even when AI Overviews don't appear, users are simply clicking less everywhere. — Search Engine Land”

The shift is broader than AI Overviews

The most consequential finding in Seer’s data isn’t the AIO drop. It’s the baseline.

For queries that did not trigger an AI Overview at all, organic CTR still fell 41% year over year. The behavioral shift is bigger than any single feature. Users are skimming AI-generated text snippets, hover-cards, knowledge panels, related questions, and shopping modules — and clicking out to source pages less even when the AI Overview itself isn’t present.

This is the part most CMOs miss when they read the headline number. The 61% drop is the visible peak. The 41% drop on un-AIO’d queries is the baseline shift — and it’s not coming back.

The publishers’ nightmare

Bain & Company surveyed real consumer behavior with Dynata: roughly 80% of consumers now rely on zero-click results for at least some of their queries, and 60% of all searches end without a click. AdExchanger reports publishers losing 20%, 30%, and in some cases up to 90% of traffic and revenue from zero-click AI search.

The traffic that’s left is consolidating. When ChatGPT cut referrals to traditional sites by 52% between July and August 2025, citations to Wikipedia, Reddit, and YouTube rose by 53% in the same window. AI engines are picking a smaller set of sources and reusing them — a winner-take-all dynamic where the cited brands accumulate disproportionately.

The cited brands actually win

The flip side of Seer’s collapse data is the most operationally useful finding in the study: brands cited inside an AI Overview earned 35% more organic clicks and 91% more paid clicks than non-cited brands on the same query.

Citation isn’t a consolation prize for losing the click. It’s the new way to win the click. The brands that get pulled into the AI summary inherit the user’s pre-qualification and arrive at the page with higher purchase intent than equivalent organic traffic. This is why visibility share, not click volume, is becoming the metric that matters.

What to measure now

The metrics shift from click-volume to visibility-share. Three measurements replace the old click-through rate as the leading indicator:

1. Citation frequency — how often your brand is named or linked across AI engine responses for your category prompts.
2. Recommendation rate — the percentage of relevant AI prompts that include your brand in the answer (measured across 60–100 prompt repetitions per topic to control for LLM variability).
3. Share of voice — your citation count as a percentage of total citations for your category, measured per platform.

Click-through rate isn’t dead. It’s no longer the leading indicator of discovery. Brands that re-orient measurement around visibility share will see the new picture clearly. Brands that don’t will keep optimizing for a metric the user already stopped honoring.

Every statistic in this piece follows Visigent's research standards: named sources, dated figures, corrections on request to help@visigent.com.