How Google’s AI Overviews Are Reshaping Click-Through Rates

How Google AI Overviews affect click-through rates is a question I get from nearly every client now. A few years ago, ranking in the top three organic positions on Google was more or less the whole game. If you got there, the clicks followed. That's no longer a safe assumption. AI Overviews now sit above the traditional results for a large share of searches, and they change what happens before a user ever scrolls down to your listing.

I spend most of my working hours inside client dashboards watching this play out in real time, rankings holding steady while click volume moves in a direction that has nothing to do with anything the client did wrong. This is exactly how Google AI Overviews affect click-through rates in practice, it isn't a ranking problem. It's a click-behavior problem, and it needs a different kind of answer.

When Google inserts an AI-generated summary above the classic blue links, a portion of users get their answer right there and never click through at all. Pew Research's browsing-behavior study puts it plainly: when an AI Overview shows up, only about 8% of users click through to a traditional result, compared to roughly 15% when no AI Overview is present, a relative drop of nearly half. Only around 1% of users click a link inside the AI answer itself.

Ahrefs has tracked something similar from the ranking side: the top-organic-result page sees a CTR decline in the range of 58 to 61% when an AI Overview appears above it, based on its most recent 2026 data. Multiple independent studies now confirm the same direction, even if the exact percentage varies by methodology.

There's a hopeful data point buried in the numbers too. Seer Interactive, which has tracked this longer than most, found AI Overview CTR bottomed out around 1.3% in December 2025 and climbed to 2.4% by February 2026, an 85% jump in two months, based on a study of 53 brands and over five million queries. That doesn't undo the overall decline, but it suggests the picture isn't purely one-directional. Google appears to be adjusting how it surfaces AI Overviews, and some of that adjustment is working in publishers' favor.

AI Overviews don't appear evenly across every kind of search, and that unevenness matters more than the headline CTR number. Broad informational and definitional queries trigger AI Overviews most often. Healthcare-related searches show some of the highest trigger rates of any category. Transactional and shopping searches, by contrast, trigger AI Overviews far less frequently, and local, map-pack style searches see them least of all.

That pattern lines up with what I see across client accounts. A SaaS client publishing comparison and "best X for Y" content gets hit harder than a local service business whose traffic mostly comes from map-pack and near-me searches. If your business leans heavily on informational queries at the top of the funnel, this shift deserves more attention than if most of your traffic is already transactional or local.

Here's the part that changes how I advise clients now: ranking well and being cited inside an AI Overview are related but not identical goals. Ahrefs' citation analysis found that only around 38% of URLs cited inside AI Overviews also rank in the traditional top 10, a sharp drop from roughly 76% back in mid-2025. At the same time, the large majority of AI Overviews still pull at least one citation from a page ranking somewhere in the top 20.

What still moves the needle

• A direct, well-structured answer near the top of the page, before the supporting detail
• Original data, first-party experience, or a genuinely unique angle the AI can't get from ten other pages
• Clean schema markup that helps both Google and AI crawlers parse what the page is actually about
• Clear entity signals, author credentials, business information, consistent naming, that build the trust AI systems look for before citing a source
• Depth that goes past what the summary can compress, giving users a reason to click through for the fuller picture

The businesses handling this shift well aren't the ones panicking about lost traffic, they're the ones who've stopped treating clicks as the only metric that counts. Citations inside AI Overviews build brand visibility and trust even when nobody clicks. Branded search volume tends to rise even as raw click numbers dip, because users remember the name they saw quoted.

I write about this kind of shift regularly on the blog, including how GEO changes the underlying playbook compared to classic SEO, and where rankings tend to slip for reasons that have nothing to do with AI Overviews at all.

This is also exactly the kind of work my team at Obelisk Infotech focuses on day to day, structuring content and technical foundations so a brand shows up in both the traditional results and the AI-generated answers sitting above them.

AI Overviews aren't going away, and pretending otherwise wastes time. What they've done is split search performance into two connected questions: are you ranking, and are you getting cited. Both matter now. The sites that treat this as a reason to double down on genuinely useful, well-structured, technically sound content are the ones still earning clicks in a results page that answers more questions before anyone scrolls.

I've spent 20+ years watching search algorithms shift, and this is one of the bigger ones. The fundamentals haven't changed as much as the headlines suggest, clear answers, real expertise, and technical soundness still win. Understanding how Google AI Overviews affect click-through rates today is really about understanding where that win gets measured now.