The 68% CTR Collapse: A Structural Break in Paid Search
AI Overviews are not a feature update; they are a structural break in the paid search model. From mid-2024 to late 2025, paid click-through rates on queries featuring AI Overviews dropped by 68%. This is not a seasonal fluctuation or a temporary algorithm tweak. It is a fundamental reallocation of user attention away from traditional ad placements toward AI-generated answers. For executives managing multi-million-dollar search budgets, this signals the end of the era where more spend automatically yields more clicks.
The data from Search Engine Land reveals a widening gap between spend and performance. Google Search spending grew 9% year-over-year in Q1 2025, but click growth lagged at just 4%. That 5-point delta is the cost of AI Overviews: advertisers are paying more for fewer interactions. The 68% CTR decline is the headline, but the 9% spend increase with only 4% click growth is the real profit killer. It means cost-per-click is inflating faster than volume can compensate, eroding return on ad spend across the board.
Who Wins: The AI-Approved Brands
Not all advertisers are losing. Brands that appear in AI Overviews see a 91% lift in paid CTR. This is a massive competitive advantage. Being cited by Google's AI acts as a trust signal, driving users to click on that brand's ads even when the AI already provided an answer. The implication is clear: the paid search landscape is bifurcating into two tiers—those who are AI-visible and those who are not. For the latter, the 68% CTR drop is a direct hit to campaign viability.
This creates a winner-take-most dynamic. Brands that invest in content optimization, structured data, and authoritative citations are rewarded with disproportionate visibility. Those that rely on generic keyword bidding without AI relevance are left with escalating costs and diminishing returns. The strategic imperative is to shift from keyword-centric to entity-centric advertising, where the goal is to become the cited source in AI Overviews.
Google's Strategic Calculus: Revenue Up, User Experience Controlled
Google is the clear winner in this transition. By keeping users within AI Overviews, Google reduces the need for users to click out to third-party sites, increasing time spent on Google properties. Meanwhile, advertisers are forced to bid higher for the remaining clicks, driving up CPCs. The 9% spend growth with only 4% click growth is a direct transfer of value from advertisers to Google. This is not an accident; it is a deliberate monetization strategy.
Google's AI Overviews also allow the company to control the narrative and the user journey. By curating which brands appear in the AI response, Google can influence which companies thrive. This power is unprecedented. Advertisers must now compete not just on bid price but on AI relevance—a metric that Google controls opaquely. The risk for Google is regulatory scrutiny, but for now, the economics favor the platform.
The Losers: Advertisers Without AI Visibility
Advertisers not featured in AI Overviews face a brutal reality. Their paid CTR drops by 68% on affected queries, meaning their ads are increasingly ignored. The traditional strategy of bidding on high-volume informational keywords is now a losing proposition. Users get their answer from the AI and have no incentive to click an ad. For these advertisers, the only path forward is to either gain AI visibility or pivot to commercial-intent keywords where AI Overviews are less prevalent.
Small and medium businesses are particularly vulnerable. They lack the resources to optimize for AI citations and may not have the brand authority to be included. The result is a concentration of ad performance among large, established brands. This could accelerate market consolidation in search advertising, leaving smaller players with higher costs and lower returns.
Strategic Pivots: Four Actions for Survival
1. Optimize for AI Citation
The single most impactful action is to become a cited source in AI Overviews. This requires investing in authoritative content, structured data markup, and brand mentions across trusted domains. Focus on informational queries where AI Overviews are most common. Use tools to monitor which queries trigger AI Overviews and whether your brand appears. If not, adjust content strategy to fill those gaps.
2. Rethink Keyword Bidding
Informational keywords are being cannibalized. Shift budget toward commercial and transactional keywords where AI Overviews are less likely to appear. Use negative keywords to avoid queries with high AI Overview prevalence. Monitor the performance of existing campaigns and cut keywords where CTR has dropped significantly.
3. Leverage First-Party Data
As keyword targeting becomes less reliable, first-party data becomes the competitive edge. Use customer match lists, retargeting, and lookalike audiences to reach high-intent users. AI Overviews may reduce click volume, but the users who do click are often pre-qualified. Focus on conversion optimization to maximize value from fewer clicks.
4. Differentiate Creative
With users already informed by AI, ads must offer something the AI cannot: a unique value proposition, a limited-time offer, or a compelling brand story. Use ad extensions, sitelinks, and callouts to provide additional reasons to click. Test different messaging to see what resonates when users are already educated.
Outlook: The Next 12 Months
The trend is clear: AI Overviews will expand to more queries, further compressing paid CTR. Advertisers who adapt early will capture the 91% CTR lift; those who delay will face escalating costs and declining performance. Expect Google to continue refining AI Overviews, potentially adding more commercial elements like product carousels. The window to act is narrowing. By Q2 2026, the divide between AI-visible and non-visible brands will be stark.
For executives, the bottom line is this: paid search is no longer a volume game. It is a precision game where AI relevance determines ROI. Budget reallocation, content investment, and data strategy are not optional—they are survival tactics. The 68% CTR drop is the canary in the coal mine. The question is whether your brand is ready to breathe the new air or will be left in the dust.
FAQ
AI Overviews are significantly decreasing paid search click-through rates (CTR) by an estimated 68% while simultaneously increasing cost-per-click (CPC). This means advertisers are spending more for fewer clicks, compressing the buyer journey and potentially eroding ad budgets without proportional returns.
Brands consistently cited in AI Overviews experience a substantial 91% lift in paid CTR. This creates a 'winner-take-all' scenario where inclusion in AI responses drives significantly higher visibility and engagement, leaving non-featured brands at a disadvantage.
Businesses must optimize informational keyword performance, prioritize high-quality product feeds for AI consumption, craft differentiated ad creative to stand out from AI-informed users, and leverage first-party data for more effective targeting as traditional keyword targeting becomes less reliable.
The primary risk is a significant loss of market share and diminished advertising ROI. Brands that fail to adapt will likely see their ad spend become less effective due to lower CTRs and higher CPCs, while competitors who leverage AI Overviews gain a substantial competitive advantage.





