This isn’t a reflection of your content quality or your team’s execution. It’s a structural market shift affecting the majority of websites regardless of SEO investment including HubSpot (70–80% traffic decline) and DMG Media (89% CTR drop). But the data also reveals a clear dividing line: brands cited in AI Overviews earn 35% more organic clicks and 91% more paid clicks than uncited competitors on the same queries.
Understanding where the clicks actually go and which ones you can still capture is now the central question of search strategy.
Key Findings
- For every 1,000 US Google searches, only 374 clicks reach the open web. The remaining 626 go to Google-owned properties or produce no click at all (SparkToro/Datos 2024).
- AI Overviews cut organic CTR by 61% on informational queries and paid CTR by 68% (Seer Interactive, September 2025).
- Position-one CTR suppression nearly doubled in 8 months from 34.5% to 58% as AI Overviews expanded (Ahrefs, December 2025).
- Only 12% of URLs cited by AI platforms rank in Google’s traditional top 10 for the same queries (Bulldog Digital Media).
- Brands cited in AI Overviews earn 35% more organic clicks and 91% more paid clicks vs. uncited brands (Seer Interactive).
- AI search visitors convert 4.4x–9x better than traditional organic visitors (Semrush/Seer Interactive).
- 43% of marketers optimize for AI search, but only 14% measure it an 86% blind-spot rate (GoodFirms 2026).
- Schema markup produced 89% more featured snippet appearances in 60 days with 3x more AI Overview mentions (GrowthHacking case study).
The 58.5% Stat Is Real—But It Hides Three Different Behaviors
Zero-click search doesn’t mean users found their answer. It means they didn’t click. The distinction reshapes how you respond.
The 2024 SparkToro/Datos study tracked hundreds of millions of searches and found 58.5% of US Google searches (59.7% in the EU) produced zero clicks. But as AlphaSEO Pros noted in their summary, that number conflates three fundamentally different user behaviors:
- Satisfied users (~20%): Got their answer from a SERP feature (knowledge panel, featured snippet, AI Overview). These clicks are permanently captured the user’s job is done.
- Refined queries (21.4%): The user searched again with different terms. This isn’t satisfaction it’s failure. These searches represent recoverable intent where better content targeting could intercept users on their second or third attempt.
- Abandoned sessions (~37%): The user left Google entirely without clicking anything or refining their search. No answer found, no action taken.
Most zero-click analysis treats all three groups identically. That’s a strategic mistake. The 21.4% refined-query segment represents an active opportunity users whose initial search didn’t give them what they needed while the satisfied-user segment represents queries you’re unlikely to recapture with any optimization tactic.
The clicks that do happen are also misleading in aggregate. Of the roughly 41% of US searches that produce clicks, a meaningful share goes to Google-owned properties (YouTube, Maps, Google Shopping) rather than the open web. The actual share of search sessions that send traffic to independent websites is smaller than the “non-zero-click” number suggests.
Mobile vs. Desktop: A 30-Point CTR Gap Most Teams Aren’t Reporting
Mobile searches produce zero-click outcomes 77.2% of the time. Desktop sits at 46.5% a 30.7 percentage point gap that distorts blended reporting.
According to The Digital Bloom’s 2025 analysis, mobile CTR is approximately 17.3% versus desktop’s 25.6%. The gap stems from converging factors:
- Smaller screens display fewer organic results below SERP features
- Google’s mobile-first design prioritizes maps, knowledge panels, and local packs
- On-the-go usage patterns favor quick answers over in-depth exploration
- Voice search behavior triggers featured snippet responses read aloud
With mobile accounting for roughly 60% of all search traffic, the 77.2% mobile zero-click rate means the majority of all search sessions worldwide are zero-click by default. Teams reporting blended CTR without device segmentation are presenting an artificially optimistic picture to stakeholders.
How AI Overviews Compress Organic and Paid CTR Simultaneously
AI Overviews reduce organic CTR by 61% and paid CTR by 68% on the same queries breaking the traditional hedge of shifting budget between channels.
Seer Interactive’s September 2025 study is the most comprehensive analysis of AI Overview impact to date. It analyzed 3,119 informational queries across 42 organizations, covering 25.1 million organic impressions and 1.1 million paid impressions. The results:
| Metric | Before AI Overviews (June 2024) | With AI Overviews (Sept 2025) | Change |
|---|---|---|---|
| Organic CTR | 1.76% | 0.61% | -61% |
| Paid CTR | 19.7% | 6.34% | -68% |
| Organic CTR bottom | — | 0.57% (July 2025) | — |
The decline wasn’t a one-time event. It was a steady, continuous compression over 15 months.
Independent behavioral data confirms the pattern. Pew Research Center analyzed browsing data from 900 US adults in March 2025 and found:
- 8% of users click external links when AI Overviews are present (vs. 15% without) nearly a 50% reduction
- Only 1% click links embedded within the AI Overview itself
- 26% of AI Overview searches end the Google session entirely (vs. 16% without)
That last stat matters most. AI Overviews aren’t just redirecting traffic within Google. They’re removing users from the search funnel altogether.
The real-world impact on practitioners is stark. As one SEO professional managing multiple properties shared:
“Yo dog, I have access to about 70 GSC properties and I’m not gonna make a case study for you but I will say that yes, confidently, when AIOs rolled out to everyone in October 2024, it hurt clicks. I think the metric being shared was 30-35% decrease in CTR, but that was being calculated with fake impression numbers due to num=100 scraping, which has now been ‘fixed’ so let’s get a few more months of this new normal under our belts before we say with certainty wtf is going on. I find AI mentions/citations every day that aren’t being reported by Semrush, so im gonna keep holding my breath for GSC to report on mentions before I die on any hills though.” — u/sloecrush (4 upvotes)
Three Mechanisms Driving the Compression
The CTR collapse operates through three distinct channels:
- Query satisfaction: The AI Overview directly answers the question, eliminating the need to click
- Visual displacement: AI Overviews push organic results below the fold, reducing visibility
- Session termination: 26% of users leave Google entirely after seeing an AI Overview, versus 16% without one
The simultaneous compression of organic and paid CTR is strategically devastating because it breaks the traditional hedge strategy. When organic performance drops, teams typically shift budget to paid. When both channels degrade on AI Overview queries, the only remaining traffic recovery mechanism is being cited within the AI Overview itself.
CTR Suppression Is Accelerating—Not Stabilizing
Position-one CTR suppression nearly doubled in eight months, from 34.5% to 58%.
Ahrefs analyzed ~300,000 keywords in their December 2025 Search Console data and found AI Overviews reduce position-one organic CTR by 58%. Their April 2025 study, using identical methodology, found 34.5% suppression. The effect nearly doubled.
The timeline matters:
- January 2025: AI Overviews appear in 6.49% of desktop searches
- March 2025: Coverage doubles to 13.14% (some sources estimate closer to 20%)
- April 2025: Position-one CTR suppression at 34.5% (Ahrefs)
- December 2025: Suppression rises to 58% (Ahrefs)
Digital Content Next tracked position-one CTR specifically on AI Overview keywords: it dropped from 7.3% (March 2024) to 2.6% (March 2025) a 34.5% decrease in a single year.
And this is the current baseline. 93% of Google AI Mode sessions end without visiting an external website. AI Mode is distinct from AI Overviews more conversational, more capable and it previews where the trend is heading.
Gartner projects a 25% decline in traditional search volume by 2026. News publishers expect 43% organic traffic loss by 2029. These aren’t speculative they’re extrapolations from measured trajectories.
CTR Is Falling Even Where AI Overviews Don’t Appear
Queries without AI Overviews still saw organic CTR fall 41% year-over-year. AI Overviews are the most visible cause of CTR compression, but they aren’t the only one.
Seer Interactive’s same study found organic CTR on non-AI-Overview queries dropped to 1.62% a 41% YoY decline. Three forces are driving this broader compression:
- AI platform adoption before Google: ChatGPT reached 800 million weekly users by October 2025. One in ten US internet users now turns to generative AI first for online search siphoning intent before users reach Google at all.
- Expanding SERP features: Knowledge panels, People Also Ask boxes, local packs, and shopping carousels continue resolving queries without requiring external clicks.
- Behavioral shift: Users increasingly accept “good enough” AI-generated answers rather than investing the cognitive effort to click, evaluate, and synthesize information from multiple sources.
The implication: narrowly optimizing around AI Overviews or assuming queries without them are “safe” mischaracterizes the scope of the problem.
This broader behavioral shift is visible across practitioners’ own data. As one SEO noted from direct observation across multiple Google Search Console properties:
“Observations across tens of GSC, tldr: yes, by a lot. Even ranking top 3 for a 10K volume informational keyword drives almost no clicks nowadays. Navigational keywords like brand name or finding X or Y page are safe so far.” — u/SelfAwareCat (1 upvote)
The Cited vs. Uncited Divide: Zero-Click Search Creates a Two-Tier System
Being cited in an AI Overview is now the primary mechanism for relative traffic recovery in a zero-click environment.
Seer Interactive’s data reveals the competitive divide:
| Outcome | Organic Click Impact | Paid Click Impact |
|---|---|---|
| Cited in AI Overview | +35% more clicks vs. uncited brands | +91% more clicks vs. uncited brands |
| Not cited in AI Overview | Full 61% CTR decline, no offset | Full 68% CTR decline, no offset |
Both tiers experience CTR compression relative to historical performance. But cited brands significantly outperform uncited competitors on the same SERPs creating a winner-take-most dynamic that concentrates traffic among fewer sources and raises the stakes of AI citation optimization.
The question has shifted from “how do I rank higher?” to “am I in the cited tier or the uncited tier for my key queries?”
88% of AI-Cited URLs Don’t Rank in Google’s Top 10
Only 12% of URLs cited by AI platforms like ChatGPT also rank in Google’s traditional top 10 for the same queries. The other 88% are invisible to traditional rank tracking tools.
This finding from Bulldog Digital Media shatters a foundational assumption of SEO practice: that Google rankings serve as a reasonable proxy for overall search visibility. They don’t. Not anymore.
AI platforms use different source selection criteria than Google’s ranking algorithm. They prioritize:
- Content structure: Clear hierarchies, extractable answer blocks, FAQ formatting
- Topical authority: Comprehensive coverage with specific, verifiable data points
- Freshness signals: Weighted differently than Google’s traditional freshness algorithms
- Source diversity: Drawing from a broader corpus than Google’s top-10
A page ranking #15 in Google but formatted with clear FAQ structure, original statistics, and schema markup may be cited by ChatGPT while a #1-ranked page with flowing narrative and no structured data is ignored entirely.
The practical consequence: your competitive intelligence is fundamentally incomplete. A competitor with inferior Google rankings may dominate AI search visibility for queries you’re targeting. Teams that don’t monitor AI citation patterns alongside traditional rankings are making strategic decisions with 88% of the AI visibility picture missing.
2025–2026 CTR Benchmarks: What the Numbers Actually Look Like Now
Historical CTR benchmarks that assumed position one = 25–30% CTR are now valid only for clean SERPs without SERP features.
Updated data from First Page Sage, GrowthSRC, and Ahrefs:
| Position | Clean SERP CTR (2025) | AI Overview SERP CTR (2025) |
|---|---|---|
| #1 | 26.4% | 0.61–2.6% |
| #2 | 12.1% | Significantly compressed |
| #3 | 6.7% | Significantly compressed |
| #4 | 4.8% | Significantly compressed |
| #5 | 3.4% | Significantly compressed |
The range for position one on AI Overview SERPs (0.61–2.6%) reflects different methodologies: Seer Interactive’s aggregate informational query data (0.61%) versus Digital Content Next’s position-one-specific tracking (2.6%).
Broad-based erosion across all positions:
- GrowthSRC’s 200,000-keyword study: CTRs across positions #1–#5 declined 17.92% from 2024 to 2025
- Advanced Web Ranking Q4 2025: Desktop #1 CTR for informational queries fell 4.26pp YoY; all top-20 positions experienced declines
- Ferocious Media: Home-service verticals saw ~18% CTR drop with stable rankings
Reporting “stable rankings” to stakeholders while using historical CTR benchmarks creates a credibility gap. Position one on an AI Overview SERP can deliver 90–97% less traffic than position one on a clean SERP. If your reporting doesn’t segment by SERP feature presence, you’re systematically overstating performance.
The Query Intent Vulnerability Spectrum: Which Searches Still Drive Clicks
Not all queries are equally captured by zero-click behavior. The data reveals a clear hierarchy from most vulnerable to most resilient and content strategy should map directly to this spectrum.
Most Vulnerable: Informational Queries
- AI Overview trigger rate: 88% (The Digital Bloom)
- Zero-click rate: ~83%
- Examples: “what is,” “how to,” definitions, explanations
- Strategy: Optimize for AI citation and brand visibility, not clicks. Measure success through mention frequency and sentiment, not traffic.
High Vulnerability: Commercial Comparison Queries
- CTR compression: -34% to -61% when AI Overviews appear (GoFish Digital)
- Examples: “best of” lists, “X vs. Y” comparisons
- Strategy: Add unique data, proprietary analysis, or interactive tools that AI summaries can’t replicate. Include original statistics (which increase AI visibility by 28%).
Moderate Vulnerability: Transactional Queries
- AI Overview likelihood: Low
- CTR retained: Substantially higher than informational queries
- Examples: “buy,” “pricing,” “near me,” product-specific searches
- Strategy: Prioritize for traffic-dependent goals. These queries require user action AI can’t complete.
Most Resilient: Navigational Queries
- Position-one CTR: Exceeds 70% (SearchX)
- AI Overview likelihood: Very low
- Examples: Brand searches, specific product/service destinations
- Strategy: Invest in brand building so more searches become navigational.
The strategic implication is an inversion of the content marketing funnel that dominated since 2012. Informational content the top-of-funnel volume play has become a brand visibility investment rather than a traffic acquisition tool. Traffic-dependent goals should concentrate on navigational, transactional, and highly specific long-tail queries that resist zero-click capture.
What Happened to Major Publishers—And What It Means for Your Traffic
Named case studies quantify the scale. These aren’t hypothetical projections they’re documented outcomes at organizations with world-class SEO operations.
| Publisher | Traffic Impact | Source |
|---|---|---|
| HubSpot | 70–80% organic traffic decline | The Digital Bloom |
| CNN | 27–38% traffic decline | The Digital Bloom |
| DMG Media | 89% CTR drop | MarTech |
| Global web (100M+ domains) | ~15% human search traffic decline | SimilarWeb/9to5Google |
| News publishers (projected) | 43% organic traffic loss by 2029 | Search Engine Land |
If HubSpot with its massive content operation and years of SEO investment experienced 70–80% declines, a 28% traffic drop at your organization isn’t an execution failure. It’s a relatively mild outcome in a structural shift that’s hitting the most sophisticated operations hardest.
The severity correlates directly with informational content dependency. HubSpot’s model built on tutorials, guides, definitions made it maximally vulnerable to AI Overview capture. Organizations with stronger transactional and navigational query portfolios experienced less dramatic impact.
The SEO community’s discussion of HubSpot’s decline highlights how even the most resourced operations aren’t immune. As one widely upvoted analysis explained:
“Hubspot lost terms like ‘Emoji’ – things that are outside of their topical authority / ranking zone. They didn’t do anything ‘wrong’ – this is about things like Parasitic SEO and Domain Authority Abuse and ranking outside of your
