How AI Overviews and SERP Changes Are Impacting Google Ads Click Behaviour

AI Overviews are now appearing on roughly 19% of all searches, and that number’s climbing fast. For advertisers, this isn’t just another SERP feature; it’s fundamentally changing where clicks go, how auctions work, and what “good performance” even looks like.

The AI overview impact on Google Ads isn’t subtle. Recent data from Seer Interactive shows paid CTR dropping from 19.7% to 6.34% on queries where AI Overviews appear. That’s a 68% decline in sixteen months of compressed disruption.

What’s Actually Going on in Search Results

AI Overviews synthesise information from multiple sources and present it right at the top of search results. Users get answers without clicking anything. Zero-click searches aren’t new, but AI Overviews are accelerating them dramatically.

The AI overview impact on Google Ads varies by industry. Finance sees AI Overviews on 79% of longer queries (five words or more). Retail hits 84% for product comparisons. Healthcare triggers high AI Overview penetration even on short medical queries. Understanding this AI overview’s impact on Google Ads across verticals helps predict where disruption hits hardest.

Those high-visibility queries used to be money-makers. Now they’re serving AI-generated answers before users see your ads.

Ads in AI Overviews: The Double-Edged Sword

Google started testing ad placements in late 2024, now rolling out on mobile and desktop in select markets, the US, Canada, Australia, India, and others. The format includes both Search ads and Shopping ads embedded within or below AI-generated summaries.

Here’s how Google serves ad responses in these placements: Text and Shopping ads from existing Search, Shopping, and Performance Max campaigns automatically become eligible. Google’s auction evaluates whether ads match both the user’s query AND the AI Overview content.

Ads in AI Overviews currently don’t show for sensitive categories: finance, healthcare, gambling, and adult content. And reporting doesn’t distinguish AI Overview impressions from traditional search. You’re flying blind on performance by placement.

The Numbers Tell a Different Story

The AIO impact on Google Ads performance goes beyond click rates. CPC inflation is accelerating because fewer clicks mean more competition for what’s left.

Google Search spending contracted 9% year-over-year in Q1 2025, but click growth was only 4%. That 5% gap represents more dollars chasing fewer clicks.

July 2025 saw the sharpest drop. Paid CTR collapsed from roughly 11% to 3% in a single month as Google expanded AI Overviews into commercial queries.

Research from Adthena shows overall paid search CTR declines of 8-12 percentage points, 20-40% relative decreases. The AIO effect on Google Ads isn’t uniform, though. Non-branded informational queries got hammered hardest. Branded search and high-intent transactional queries show more resilience. This differential AI impact on Google Ads performance by query type requires campaign restructuring.

What This Means for Different Campaign Types

Google ads in AI Overviews pull from Performance Max, Search, and Shopping campaigns. Performance Max is becoming particularly important because it’s designed for Google’s algorithm to place ads wherever it thinks they’ll perform best. But it already operates as a black box. Adding AI Overview placements without separate reporting makes optimisation harder.

Shopping ads seem to hold up better than text ads in some verticals. Product listings naturally fit the visual context of AI Overviews.

E-commerce and travel sometimes see AI summaries spark product exploration. Finance and insurance face mixed results. 

Understanding AIO’s Impact on Strategy

The question of how AIO affects Google Ads performance requires rethinking the entire funnel. Customer journeys that used to take days now compress into minutes. AI Overviews handle research and comparison activities that previously required multiple search sessions.

Impression share metrics are becoming less reliable. Ad positioning matters today more than ever. Ads appearing above AI Overviews still perform reasonably well. Ads below them? Dramatic CTR reductions.

The Acceleration Factor

What makes AI Overviews different? Speed. Google compressed a multi-year transition into months. Some verticals went from minimal AI Overview presence to 80%+ visibility in a single quarter.

This rapid deployment is one of the latest PPC trends reshaping the industry. Automated bidding strategies haven’t had time to adjust. Many pay-per-click advertising companies are still operating on outdated assumptions about SERP layout and user behaviour.

Practical Implications

The AI overview impact on Google Ads forces several strategic decisions. The comprehensive AI impact on Google Ads strategy must address keyword targeting, brand protection, and creative optimisation simultaneously.

The keyword strategy needs to be revised. Longer, informational queries trigger AI Overviews more frequently. Shorter, high-intent transactional terms show more stability.

Brand protection becomes critical. Branded searches hold up better because users want your specific site, not just information. Building brand equity now provides insulation as the AI impact on the Google Ads landscape continues evolving.

Content strategy and ad copy need to align with AI-generated context. When ads appear with AI Overviews, they’re evaluated against both the query and the AI Overview content. Relevance requirements are stricter.

Performance Max optimisation requires different thinking. Asset quality directly influences how ads appear in AI-generated results, but without clear reporting, optimisation is guesswork.

What Google Says Versus Reality

Google describes AI Overviews as “one of the most successful launches in Search in the past decade” at their Marketing Live conference. They cite increased commercial queries and higher user satisfaction.

Users who engage with AI Overviews conduct 10% more searches on average, according to Google’s data. So, overall search volume might be growing even as individual query CTRs decline.

But advertisers aren’t seeing that success story. Costs are up, efficiency is down, and measurement is harder.

Where This Goes Next

AI Mode represents Google’s next evolution, more conversational, more personalised. These ad placements serve as the testing ground for how advertising works in conversational AI environments.

Search is moving from query-response to ongoing conversation. From lists of links to synthesised answers. The AIO impact on Google Ads will compound as adoption spreads to more queries and markets. Every advertiser needs to understand how the AIO impact on Google Ads affects their specific industry and account structure.

What Actually Works Right Now

No magic solution exists that restores pre-AI Overview performance. But some approaches hold up better.

Focus on branded search and direct response campaigns where intent is clearest. Test Shopping ads more aggressively, visual product listings integrate better with AI Overview contexts than text ads.

Monitor performance by query length and intent type. Group campaigns around these characteristics to shift budget away from heavily impacted queries.

Improve asset quality in Performance Max. Creative excellence matters more when algorithms decide placement. Stay disciplined on target ROAS or CPA goals.

The Uncomfortable Truth

Understanding how AIO affects Google Ads long-term requires accepting that previous performance levels might not return. This isn’t a temporary dip; it’s a structural change.

The playbook that delivered results for the past five years? Obsolete. Campaign structures, keyword strategies, and bidding approaches all need rethinking for a search environment where AI answers questions before users click anything. The comprehensive AI impact on the Google Ads ecosystem means every campaign element needs reevaluation.

The real challenge: forcing advertisers to compete where rules keep changing faster than adaptation cycles allow. Google’s pace of innovation consistently outstrips advertiser readiness. The cumulative AIO impact on Google Ads compounds with each algorithm update and feature rollout.

The advertisers who survive won’t be the ones with the biggest budgets. They’ll be the ones who recognise shifts early, test aggressively, and rebuild quickly. Understanding the AIO effect on Google Ads mechanisms and the expanding role of Google Ads in AI Overviews creates a competitive advantage in this environment. Because what worked before doesn’t matter nearly as much as what works next.