AI Overview CTR Dropped 61%, But Clicks Remained Stable

The headline is alarming. The reality is more nuanced — and more actionable.

A 61% drop in CTR from AI Overview positions sounds catastrophic. But when clicks hold steady, the story changes entirely.

A striking new study has sent ripples through the SEO community: click-through rates from Google’s AI Overview results have dropped by approximately 61% compared to traditional organic results in the same positions. At first glance, that sounds like an existential threat to search traffic. But dig into the data and a more interesting picture emerges — one that has significant implications for how businesses should approach their SEO strategy in 2026.

Here’s what actually happened, what it means, and what smart businesses should be doing right now in response. This is a continuation of the ongoing evolution we covered in our analysis of AI Overviews research and studies — and the implications connect directly to broader shifts in how Google is rewarding content and authority.

The numbers — what the study actually found?

The paradox is real: CTR is down significantly, but total clicks have remained essentially flat. How is that possible? The answer lies in query volume and user behaviour changes that accompany AI Overview deployment, and it reframes the entire conversation.

Analysis 01

Why CTR dropped without clicks falling — the volume explanation

When AI Overviews appear on a query, Google is typically showing them for high-volume, informational queries — the kinds of searches that generate enormous impression numbers. A query that previously generated 1,000 impressions and a 5% CTR (50 clicks) might now generate 2,000 impressions (because the query triggers more related searches and variations) but only a 2.5% CTR (still 50 clicks).

The CTR metric is being diluted by impression growth, not click loss. This is a critical distinction that changes the strategic implications entirely. It means Google’s AI Overviews are expanding the query space — bringing more people into searches — while individual click rates normalise.

This connects to the broader phenomenon of zero-click searches that SEO professionals have been monitoring for years. The AI Overview era is accelerating this trend, but not in the catastrophic way many feared — at least not yet. The real risk is query types shifting over time.

Analysis 02

What queries are most affected — and which are safe

AI Overviews don’t appear uniformly across all query types. The research shows they’re most prevalent on:

1. Informational queries (“how does X work”, “what is Y”) — highest AI Overview frequency, greatest CTR impact.
2. Definition and explanation queries (“explain Z”, “what does A mean”) — AI Overviews almost always appear, often answering completely on-SERP.
3. Comparison queries (“X vs Y”) — moderate AI Overview presence, but users still often click through for detailed breakdowns.
4. Transactional and commercial queries (“buy X”, “best Y for Z”, “X near me”) — significantly lower AI Overview presence. These clicks are largely protected.
5. Local queries (“dentist in Melbourne”, “plumber near me”) — AI Overviews rarely appear. Local pack and organic results dominate.

This breakdown has immediate strategic implications. If your business relies heavily on informational content to drive awareness-stage traffic, the CTR squeeze is real and you need to adapt. If your content is transactional or local, the threat is significantly lower — for now. Our local SEO services are specifically structured to protect and build this more resilient form of search visibility.

The bigger picture — what this data doesn’t tell you

CTR and clicks are lag indicators. What the study can’t measure is the qualitative shift in who is clicking. If AI Overviews are filtering out low-intent, casual browsers (who found their answer in the overview) and the clicks that remain are higher-intent users, businesses may actually be getting better traffic from fewer clicks. Conversion rates and revenue per click are the metrics that matter here — not raw CTR.

Analysis 03

Being cited in AI Overviews — the new authority signal

One of the most significant findings buried in the broader AI Overview research is citation behaviour. When Google’s AI Overview cites a source, that source receives a meaningful credibility signal — and anecdotally, brands cited in AI Overviews report higher branded search volume, improved conversion rates on the clicks they do receive, and increased direct traffic.

This is the emerging opportunity that most businesses haven’t positioned for yet. Getting your content cited in AI Overviews requires the same fundamentals that have always driven strong SEO — authoritative, well-structured, factually accurate content — but with additional emphasis on structured data, clear sourcing, and E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals.

Our guide to structured data and AI visibility covers the technical implementation that makes content more likely to be picked up by AI systems. And our analysis of increasing brand visibility in AI search explains the broader strategy — which is less about keyword optimisation and more about becoming a trusted, verified source in your category.

This also connects to why AI search relies on brand-verified sources rather than anonymous forum content — an important shift for businesses that have historically struggled against Reddit and Quora dominance in informational SERPs.

Analysis 04

What the March 2026 Core Update changed — and why it matters here

The AI Overview CTR data doesn’t exist in isolation. It intersects directly with Google’s March 2026 Core Update, which placed significantly greater emphasis on content depth, author credibility, and first-hand expertise. Sites that saw the biggest ranking drops in March 2026 were predominantly thin, AI-generated content farms — while sites with genuine subject matter expertise held or improved.

The implication: Google is simultaneously expanding AI Overviews (which reduces CTR on informational queries) and tightening the quality bar for organic ranking (which protects high-authority sites). These two forces together favour businesses that have invested in real expertise and content quality — not those chasing keyword volume with thin content.

If you haven’t reviewed your site’s performance post-update, our guide to understanding Google algorithm updates gives context on how to diagnose and respond. And our broader analysis of SEO mistakes Melbourne businesses must avoid in 2026 covers the practices that are most dangerous in the current environment.

What businesses should actually do in response?

The right response to this data isn’t panic — it’s a strategic adjustment. Here’s what the evidence points to:

1. Shift content focus toward transactional and commercial intent. These queries are protected from AI Overview CTR dilution. Build more content around “best”, “near me”, “compare”, “pricing” — queries where users need to click through.
2. Optimise informational content for AI citation, not just ranking. If you’re going to appear in informational SERPs, the goal is getting cited in the AI Overview, not just ranking below it. That means structured, authoritative, clearly sourced content.
3. Double down on local SEO. Local queries remain largely untouched by AI Overview CTR dilution. Google Business Profile, local citations, and location-specific content are more valuable than ever.
4. Build brand authority that extends beyond search. AI systems favour verified, established brands. Invest in branding, PR, and thought leadership that builds authority signals across the web.
5. Measure what matters. CTR is now a less reliable metric for informational content. Focus on conversions, revenue per session, and branded search volume — the metrics that actually reflect business health.
6. Diversify traffic sources. PPC, social media, and email marketing provide channels not subject to AI Overview disruption. A multi-channel strategy reduces dependence on any single signal.

The AI SEO strategy shift this data confirms

What the 61% CTR drop study ultimately confirms is a shift we’ve been tracking across multiple data points: SEO in 2026 is no longer just about ranking. It’s about authority — being the source that AI systems trust, cite, and surface. This is a fundamentally different optimisation target than keyword ranking, and it requires a different approach.

Our dedicated guide to AI-powered SEO traffic strategy for 2026 covers this shift in detail, including the specific content and technical changes that make sites more AI-citation-friendly. The intersection of traditional SEO and AI visibility is also covered in our comparison of AI SEO vs traditional SEO, which has become one of the most practically useful frameworks for thinking about where to allocate SEO resources right now.

For businesses considering how this affects their SEO investment, the data is actually encouraging: the businesses that had already invested in genuine expertise, quality content, and authoritative link profiles are holding steady. The sites being hurt are those that built traffic on thin, easily answered informational content with no differentiation.