Google AI Overviews may be getting slightly less punishing for organic traffic, but they are not restoring the old search model. Seer Interactive found that CTR on Google searches with an AI Overview rose from 1.3% in December 2025 to 2.4% in February 2026 across 53 brands, 5.47 million queries, and 2.43 billion impressions. That rebound matters. The bigger lesson is tougher: AI Overviews are still redistributing clicks toward the pages Google cites and away from the pages it does not.
For brands, that means the job has changed. Ranking is still important, but it is no longer enough. If Google summarizes the answer first, your visibility depends more on whether you are pulled into that answer and less on whether you simply sit somewhere in the classic blue-link stack.
The direct answer is simple: the decline slowed, and early 2026 showed a measurable bounce. After hitting a low of 1.3% in December 2025, organic CTR on searches with AI Overviews climbed to 2.4% by February 2026. That does not mean traffic is back. It does suggest the worst phase of the drop may be easing.
That distinction matters. A rebound from a low base is still a rebound, but it is not a return to pre-AI behavior. The data points to a market that is stabilizing, not one that has reset to normal.
A useful example sits in the non-AIO segment. Searches without an AI Overview became more valuable over time, not less. If your content portfolio includes topics Google still sends users to click through on, those pages may now carry more commercial weight than broad informational pages that trigger a summary first.
Because the rebound does not change the click hierarchy. When an AI Overview appears, the pages cited inside it still attract more clicks than pages on the same results page that are not cited. But both groups trail searches where no AI Overview appears at all.
That is the key strategic shift. On an AI Overview SERP, the question is no longer only, “Do we rank?” It is also, “Did Google choose us as part of the answer?” If the answer is no, you may still be visible in classic organic results while missing the higher-intent attention that the summary captures first.
This also explains why the conversation around SEO is moving toward GEO. Generative engine optimization is the work of improving how a brand is surfaced, summarized, and cited inside AI-generated answers. In practice, citation visibility is becoming a separate performance layer, not just a side effect of traditional rankings.
Informational search remains the main target, but the exposure is not evenly spread. According to the same Seer Interactive data, AI Overviews showed up on around 36% of informational queries and about 5% of transactional queries. That gap alone should change how teams prioritize risk.
The sharper takeaway is in format-specific queries. Comparison searches and question-based searches were overwhelmingly likely to trigger an AI Overview.
If your organic strategy depends heavily on pages like “X vs Y,” “best tool for...,” or “what is...,” assume Google is increasingly answering before the click. That does not make those pages useless. It means their job changes from pure click capture to citation earning, authority building, and brand framing.
First, stop reading CTR in isolation. The study notes that in some cases clicks stayed flat while impressions grew. That can mean a brand appeared in more AI Overviews even while CTR fell. Lower CTR is not always a sign of weaker performance if the brand is expanding its visibility footprint at the same time.
Second, separate your search program into two buckets: queries where Google is likely to summarize, and queries where people still reliably click. Those are no longer the same opportunity set.
There is also a practical nuance here. AI Overviews are good at handling quick answers. That means the clicks that remain are often from users who want more than a summary can give them. Brands that win those clicks are likely to be the ones offering depth, proof, tools, comparisons, or a clear next action.
The most interesting part of this study is not the rebound from 1.3% to 2.4%. It is the proof that AI search is turning visibility into a layered problem. A brand can rank, get impressions, and still lose the real attention if it is not cited in the answer users see first. That is exactly why AI visibility needs its own measurement model.
BotRank's AI Visibility feature is built for this shift. It lets teams run reusable prompts across major LLMs, track how their brand appears over time, compare model-specific performance, and inspect the sources and pages being cited. In a market where clicks can fall while visibility grows, that context matters. You need to know whether your brand is absent, cited but misrepresented, or visible in the wrong competitive frame. Traditional rank tracking will not tell you that. AI visibility tracking will.
Somewhat, but only in relative terms. The reported rise from 1.3% to 2.4% suggests CTR on AI Overview searches improved in early 2026, but it still remains below searches with no AI Overview.
Yes. In the Seer Interactive data, pages cited in an AI Overview drew about 2.1% CTR versus about 0.9% for pages on the same SERP that were not cited.
Question-based and comparison content are the most exposed in this dataset. AI Overviews appeared on about 86% of question queries and about 95% of comparison queries.
No. Classic SEO still matters because ranking, authority, and page quality influence whether your content can be surfaced at all. But ranking alone is no longer the full goal when Google may summarize the answer before the click.
The takeaway is blunt: AI Overviews are not just shrinking clicks. They are reallocating them. If your team is still measuring search performance as if every SERP were a list of links, you are already behind. Track where your brand is cited, identify which query types still reward clicks, and build content that can win both surfaces. If you want a clearer picture of that AI search layer, BotRank is the natural next step.
