AI Overviews are reshaping the landscape of paid search by lowering click-through rates, increasing cost-per-click, and compressing the buyer journey. As I’ve seen in my own campaigns, adapting to these changes is crucial for maintaining performance and staying competitive.
I’ve noticed Google’s AI Overviews appear across search results with varying frequency. However, in some categories, they take over completely. According to Adthena:
Finance queries with five or more words see AI Overviews on 79% of searches.
Retail shows an 84% visibility for comparison and product discovery queries in the 9-10 word range.
Healthcare keywords, even short ones (1-3 words), trigger high AI Overview penetration.
I realize that organic traffic faces obvious challenges, yet the downstream impact on paid search is more severe than I thought. Here’s how that manifests in practice.
AI Overviews systematically alter paid search by affecting click volume, auction dynamics, and user behavior during conversion. They speed up structural trends that reshape search, such as SERP saturation, automated bidding, and Performance Max adoption.
The speed at which Google rolled out AI Overviews is staggering. Many verticals have seen transitions that typically spanned years compressed into months. To understand how this impacts my paid search, I must consider how AI Overviews have reshaped each component of campaign performance.
So now, how much have the response rates been affected by AI Overviews? Recent data from Seer Interactive shows the decline’s scale. Paid CTR on queries featuring AI Overviews plummeted by 68%, dropping from 19.7% to 6.34% between June 2024 and September 2025.
At the same time, organic CTR fell 61% on the same queries, but the steeper decline in paid traffic suggests AI Overviews reshape where paid ads appear and who clicks them, not simply their overall presence.
The drop accelerated sharply in July 2025, when paid CTR collapsed from approximately 11% to 3% within a month due to Google aggressively expanding AI Overviews.
Non-branded informational queries saw the most severe declines. But it’s not all bad news. Branded searches and high-intent queries exhibited greater resilience, and many advertisers noticed minimal impact on key conversion terms.
There’s a direct link between AI Overviews and rising campaign costs. As response rates decline, CPC inflation occurs due to supply and demand mechanics. Google Search spending grew 9% YoY in Q1 2025, but click growth was just 4%. The 5% gap reflects more money chasing fewer clicks.
AI Overviews boost CPC inflation via several mechanisms, including ad positioning. Research on ad positioning reveals that ads performing well above an AI Overview see a performance dip for those below, reducing impression share and CTR.
AI Overviews also accelerate the consideration phase of the buyer’s journey. Activities that once took days are now compressed into minutes, facilitating research and comparisons across sessions.
For instance, what used to be a multi-day process in 2023, like looking for the [best project management software for remote teams], can now convert users in a single session with the help of AI Overviews.
This shift affects campaigns in three ways: smaller retargeting pools, diminished brand awareness, and AI Overviews mentions being a must for visibility.
The compression of the buyer journey results in a surprising economic outcome. While click volume shrinks, conversion rates improve. An analysis of 16,446 campaigns showed enhanced conversion rates in 65% of industries despite reduced click volume.
Enhanced conversion rates signify that AI Overviews are filtering out casual inquiries, leaving high-intent prospects to convert. While this could offset CPC inflation, the need for strategic adaptation in campaigns remains vital.
Therefore, let’s discuss the four strategic pivots I find essential in today’s AI-driven search environment.
First, monitor and optimize informational intent performance. Given AI Overviews’ impact, systematic observation and adaptation are necessary to identify profitable versus draining keywords.
Second, prioritize feed quality. AI can summarize but not invent details like price and inventory. Robust product feeds offer a competitive advantage here.
Third, craft creative that stands out. Ads need to answer why customers should choose your service over others and why now.
Fourth, leverage audience data over keyword targeting. Audience lists built from first-party data allow targeting based on customer relationships.
In conclusion, AI Overviews are reshaping paid search, leaving advertisers at a crossroads. Personalized strategies that embrace new realities will help navigate these challenges effectively.
Inspired by this post on Search Engine Land.
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