Measured has released new research analyzing the impact of Google’s AI Overviews on search advertising performance. The study finds that rather than weakening search as a marketing channel, AI-generated results coincided with improved incremental revenue and order growth for brands measured in the dataset.
Based on an analysis of 139 enterprise brands, the report examines performance before and after the broad rollout of AI Overviews in September 2025, comparing key metrics across eight-month periods to assess changes in advertising effectiveness.
Measured reports that concerns about declining search effectiveness following the rollout of AI Overviews may be overstated. Instead, the data indicates that AI-generated summaries are reshaping user behavior by filtering out lower-intent queries while preserving or enhancing conversion-driven traffic.
This shift suggests that while some clicks may decline at the surface level, the remaining traffic may represent higher-quality user intent, leading to improved downstream performance metrics.
A key theme in the analysis is the difference between platform-reported metrics such as click-through rate and incrementality-based measurement. According to the study, traditional engagement metrics may not fully capture the true value of search campaigns in an AI-influenced search environment.
“Many marketers spent the back half of 2025 worried that Google’s AI Overviews would erode search effectiveness,” said Trevor Testwuide, CEO and co-founder of Measured. “What our data shows is that the channel didn’t weaken search; it concentrated it. The clicks that went away were the ones that were never going to convert anyway. The advertisers who watched incrementality instead of click-through rate saw that clearly. They kept investing and they came out ahead.”
The study highlights particularly strong performance among omnichannel advertisers that connect digital campaigns with in-store sales. Within this segment, incremental revenue and orders showed significant gains, alongside improved return on ad spend.
Notably, these improvements occurred alongside increased advertising investment, suggesting that performance gains were not driven by reduced spending but by improved efficiency in capturing purchase-ready demand.
The findings suggest that AI Overviews may be altering how users engage with search results by answering informational queries directly within the search interface. As a result, users who proceed to click through may be further along in the purchase journey, increasing the likelihood of conversion.
This dynamic indicates a potential shift in search from broad discovery to more intent-driven engagement, with implications for how marketers evaluate performance and allocate budgets.
The research from Measured suggests that AI Overviews have not diminished search advertising effectiveness but instead reshaped it toward higher-intent engagement. For marketers, the findings reinforce the importance of incrementality-based measurement frameworks when evaluating performance in AI-influenced search environments.
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