How Google AI Overviews Are Changing Click-Through Rates

For most of the last two decades, the goal of SEO was simple: rank as high as possible, get the click. The search results page was a list. Position one got the most traffic. Position ten got very little. Everything else followed logically from that.

Google AI Overviews have changed the logic of the page. The click is no longer the automatic reward for ranking first. And the brands that have not updated their strategy are watching traffic decline without a clear explanation.

What Google AI Overviews Actually Are

Google AI Overviews are AI-generated summaries that appear above paid ads and organic results for an expanding range of queries. Powered by Google's Gemini models, they synthesize information from multiple sources and deliver a direct answer. Often with citations. Before any traditional result appears.

They are shown for informational queries, product comparisons, service recommendations, and increasingly for commercial intent searches. The trigger category has grown significantly since launch and continues to expand.

The key characteristic is that they answer the question. Users do not have to click through to find out. The answer is right there, at the top of the page, before they have scrolled at all.

What's Happening to Click-Through Rates

Organic click-through rates have dropped measurably for queries where AI Overviews appear. For informational queries. How-to content, definitions, comparisons. The impact has been the most significant. Users who get a satisfactory answer in the Overview often do not click anything at all.

This creates a new category called zero-click search: queries that complete entirely within the search results page. The user gets what they came for. No brand gets the visit.

But the impact is not uniform. For queries where the AI Overview cites specific sources, those sources often see strong click-through rates. Sometimes higher than the organic result directly below the Overview. Being cited inside the Overview has become more valuable than ranking first below it.

For commercial queries, particularly those with strong purchase intent, click-through rates remain more resilient. Users making significant decisions often want to visit the actual brand, not just read a summary. But even here, the Overview pre-frames the consideration set, meaning brands not mentioned inside it face an uphill battle even if they rank organically below it.

Which Query Types Are Most Affected

Not all queries are equally affected, and understanding the pattern helps prioritize where to focus.

Most affected: Informational queries (how-to, what-is, definitions), comparison queries (X vs. Y), and research-stage commercial queries where the user is gathering information before committing. These are the queries where AI Overviews are most likely to appear and most likely to fully satisfy the user without a click.

Less affected: Navigational queries (users searching for a specific brand or site), transactional queries with high purchase intent, and local queries where users need to contact or visit a physical location. These still generate meaningful organic clicks.

Emerging: Product and service queries in professional categories are increasingly seeing AI Overviews that summarize options and recommendations. The pace of expansion suggests this category will look more like the "most affected" group within a year or two.

The New Optimization Target

The strategic response to AI Overviews is not to abandon SEO. It is to shift the target from "rank in the organic list" to "appear inside the AI Overview."

Brands cited within AI Overviews occupy the most visible position on the page. They earn the visibility benefit whether or not the user clicks. And for the users who do click, the AI has already framed them as a credible, relevant source. Which tends to improve the quality of that visit.

Getting cited requires being recognized as authoritative on the topic. That means well-structured content that directly answers the questions users are asking, strong schema markup (especially FAQPage), genuine third-party credibility signals, and a technically sound site that Google can crawl and evaluate confidently.

It also means tracking AI visibility specifically. Knowing whether you are being cited in AI Overviews and across other AI search platforms. Rather than relying solely on traditional impression and ranking data, which no longer tells the full story.

The brands winning in Google search right now are the ones inside the Overview, not just below it. That distinction is only going to matter more as AI Overviews expand to cover more of the query landscape.