How AI Overviews Are Changing Click-Through Behavior in Google Search

Marketers watching their click-through rates dip on certain queries, even while rankings stay stable or improve, are often running into the same cause: an AI Overview now sits above the organic results and is answering the user’s question well enough that fewer people feel the need to click through at all.

What AI Overviews show before the organic results

For many informational queries, Google now generates a synthesized summary — often pulling from several sources — that appears above the traditional list of links. For a simple factual question, this summary can fully satisfy the search, meaning the person gets their answer and never scrolls further, regardless of how well any individual page ranks beneath it.

Why click-through rates are shifting

This effect is strongest for queries with a single, fairly simple factual answer — “what is X,” “how many Y” — and much weaker for queries where the person clearly wants more than a summary, like detailed comparisons, step-by-step instructions, or anything requiring judgment specific to their situation. Pages targeting the first category are seeing the sharpest click-through declines; pages targeting the second category are often holding steady or even gaining relative visibility, since AI Overviews function less well as a complete answer for them.

How to still earn the click

The practical response isn’t abandoning informational content, it’s being honest about which of a site’s pages are vulnerable to full AI-summary capture and shifting effort toward content that offers something a three-sentence summary genuinely can’t: a working calculator or tool, a detailed worked example specific to a scenario, an opinionated recommendation backed by direct experience, or a next step the user needs help with beyond just the raw fact.

Reframing simple factual pages

A page that currently exists purely to state one fact is especially exposed — the fix is often adding genuine depth beyond the fact itself: context on why it matters, a common follow-up question answered in the same place, or a related decision the reader is likely facing next. This doesn’t guarantee immunity from summary capture, but it gives the page a reason to be clicked even for someone who already saw the basic fact in the summary above it.

Measuring this shift accurately

Because this effect varies heavily by query type, it’s worth reviewing click-through data segmented by the kind of query a page targets, rather than looking at an aggregate site-wide number that can mask very different trends happening in different content categories at once. A page losing clicks on a simple factual query while a comparison or tool-based page gains them tells a very different, more actionable story than an averaged number that looks flat.

A practical content-review exercise

A useful quarterly exercise is pulling the twenty pages that lost the most click-through rate over the past few months and sorting them into two groups: pages answering a simple factual question, and pages that should, in theory, require more depth than a summary could offer. The first group is a candidate list for the “add genuine depth” treatment described above. The second group deserves closer inspection, since a complex, judgment-requiring page losing clicks might indicate the content itself isn’t actually delivering the depth it should, rather than being a victim of AI summarization at all.

Looking beyond click-through as the only success metric

Click-through rate has long been the default way to measure search visibility, but it’s becoming an incomplete picture on its own. A page that gets cited within an AI Overview, even without earning the click, may still be building brand familiarity with people who see the brand name attached to a helpful answer. This doesn’t fully replace the value of a click, but it’s a form of visibility worth acknowledging rather than treating every uncredited impression as pure loss.

Learn more: Openink Hub