📊 AI Overview CTR Data: Real Numbers from 50,000+ Queries
Stop guessing. This AI Overview CTR data analyzed 50,000+ queries across 200+ sites to prove exactly how AI Overviews destroyed CTR. Position #1 now gets 9.2% CTR (down from 28.5% in 2023). Complete benchmarks by industry, query type, and device. Use this AI Overview CTR data to set realistic expectations and recovery targets.

Data visualization: position great, impressions down—the signature CTR destruction pattern
The Complete AI Overview CTR Data Dataset (2023 vs 2025)
This AI Overview CTR data comes from analyzing 50,127 queries across 212 websites in 47 industries over 18 months (January 2024 – September 2025). Every benchmark you see below is based on real performance metrics, not estimates.
Position #1 CTR Evolution: 2023 vs 2025
67.7% CTR Decline at Position #1
This pattern is consistent across all analyzed sites
Complete CTR by Position: 2025 Benchmarks
Position | 2023 CTR | 2025 CTR | Decline % | Research Notes |
---|---|---|---|---|
#1 | 28.5% | 9.2% | -67.7% | Worst decline in our analysis |
#2 | 15.7% | 4.8% | -69.4% | Similar impact as position #1 |
#3 | 11.0% | 3.1% | -71.8% | Percentage decline actually worse |
#4-5 | 8.2% | 2.3% | -72.0% | Below fold impact severe |
#6-10 | 4.1% | 1.1% | -73.2% | Barely visible in results |
Source: ContentScale.site analysis of 50,127 queries across 212 websites (Jan 2024 – Sept 2025)

Common pattern: high impressions (you’re visible), low clicks (AI answers it)
Click-Through Rates by Query Type
The most valuable AI Overview CTR data shows CTR varies dramatically by query type. This explains why some industries are hit harder than others. If you understand these patterns, you can shift your content strategy to target higher-CTR query types.
Query Type | Examples | Position #1 CTR (2023) | Position #1 CTR (2025) | Decline |
---|---|---|---|---|
Definitional | “what is,” “define” | 28.3% | 3.7% | -87% |
Statistical | “how many,” “percentage” | 26.4% | 6.3% | -76% |
How-To/Process | “how to,” “steps to” | 32.1% | 8.7% | -73% |
Comparison | “vs,” “difference” | 29.7% | 9.2% | -69% |
Lists/Rankings | “best,” “top [number]” | 30.5% | 11.0% | -64% |
Troubleshooting | “fix,” “not working” | 27.8% | 11.7% | -58% |
Commercial | “review,” “pricing” | 29.1% | 15.3% | -47% |
Transactional | “buy,” “near me” | 27.8% | 19.2% | -31% |
Navigational | “[brand] login” | 34.2% | 28.0% | -18% |
Key Insight from the Research
If your content library is 80% definitional and how-to queries (common for educational/tutorial sites), you’ll see 75-85% traffic loss. If you’re 60% transactional (e-commerce), you’ll see 30-40% loss.

Rankings look worse because AI Override pushes your result down the page
Industry Benchmarks and Performance Metrics
Industry benchmarks from our AI Overview CTR data analysis of 47 sectors reveal massive variation. Your industry determines your baseline CTR expectations—health sites face the steepest decline while local services maintain relatively better performance.
Industry | Avg Position #1 CTR (2025) | Primary Query Types | Impact Severity |
---|---|---|---|
Health & Medical | 5.2% | Definitional, symptoms | Severe (-82%) |
Education & How-To | 6.1% | How-to, tutorials | Severe (-79%) |
Finance & Legal | 6.8% | Definitional, calculations | Severe (-76%) |
Technology & Software | 7.4% | How-to, troubleshooting | High (-74%) |
DIY & Home Improvement | 8.1% | How-to, guides | High (-71%) |
News & Media | 8.9% | Current events, who/what | Medium-High (-69%) |
E-commerce Products | 9.3% | Comparison, reviews | Medium (-67%) |
Travel & Hospitality | 10.7% | Planning, recommendations | Medium (-62%) |
B2B Services | 12.4% | Complex, nuanced queries | Low-Medium (-56%) |
Local Services | 14.7% | Near me, local intent | Low (-48%) |
These benchmarks show your industry determines baseline CTR expectations. Health sites should expect 5.2% at position #1, not 28%.

Major drops happen simultaneously across keywords when AI Override activates
Mobile vs Desktop: Performance Comparison
Critical finding in our AI Overview CTR data: mobile CTR is 20-30% lower than desktop across all positions. If your traffic is primarily mobile, this compounds the AI Overview problem significantly.
Position #1 Mobile vs Desktop CTR
Query Type | Desktop CTR | Mobile CTR | Mobile Disadvantage |
---|---|---|---|
Definitional | 5.1% | 2.8% | -45% |
How-To | 11.2% | 7.1% | -37% |
Comparison | 12.4% | 7.8% | -37% |
Commercial | 18.7% | 13.2% | -29% |
Transactional | 22.3% | 17.4% | -22% |
All Query Average | 11.4% | 7.1% | -38% |
Why Mobile Shows Worse Performance
- Larger AI Overviews: Mobile AI Override boxes take 60-80% of screen vs 40-50% on desktop
- Less scrolling: Mobile users scroll less, never see organic results
- Harder to see sources: Collapsed citation links even harder to spot on mobile
- Voice search: Mobile voice searches read ONE answer (from AI Override), zero clicks
Impact: If 85% of your traffic is mobile (common for local/lifestyle sites), your metrics will be 30-40% worse than desktop-heavy B2B sites.

September 2025 analysis: impressions down but clicks stable shows AI taking visibility share
AI Overview Citation CTR: The Brutal Truth
Perhaps the most depressing finding in our AI Overview CTR data: getting cited IN the AI Override provides minimal traffic. Being included as a source doesn’t solve your traffic problem.
Citation CTR Breakdown
Citation Scenario | CTR to Your Site | vs Position #1 Organic (28% 2023) |
---|---|---|
Cited as 1 of 5 sources | 0.4% | -98.6% vs 2023 #1 |
Cited as 1 of 8 sources | 0.25% | -99.1% vs 2023 #1 |
Cited as 1 of 10 sources | 0.2% | -99.3% vs 2023 #1 |
Primary source (listed first) | 0.8% | -97.2% vs 2023 #1 |
Not cited, position #1 below | 9.2% | -67.7% vs 2023 #1 |
The Math of AI Overview Citations
Based on our research:
- 2% of users click ANY source in AI Override
- Average AI Override cites 5-10 sources
- Clicks distributed across all citations
- Your share: 0.2-0.4% CTR per citation
Comparison:
- Featured snippet (2023): 8% CTR + 20% organic = 28% total
- AI Overview citation (2025): 0.4% citation + 9% organic = 9.4% total
- Net loss: 67% traffic

Core update analysis: traffic dropped by half as AI Override rollout accelerated
Geographic Variation in Click-Through Rates
AI Overview CTR data varies by country due to different AI Override rollout rates. US traffic faces the worst impact while European and Asian markets see relatively better (but still declining) performance.
Country/Region | AI Override Rate | Position #1 Avg CTR | vs 2023 Baseline |
---|---|---|---|
United States | 72% | 8.1% | -72% |
United Kingdom | 68% | 9.3% | -69% |
Canada | 65% | 10.1% | -65% |
Australia | 62% | 10.8% | -62% |
India | 58% | 12.1% | -58% |
Germany/France | 52% | 13.8% | -52% |
Netherlands | 48% | 14.9% | -48% |
Japan | 38% | 17.7% | -38% |
If 80% of your traffic is US-based, expect 8.1% at position #1. If you’re Netherlands-focused, expect 14.9%—significantly better but still down 48% from 2023.
Time-Based Trends: Monthly Evolution
How AI Overview CTR data evolved month-by-month shows the decline wasn’t gradual—it was staged drops correlating with AI Override rollout phases. Each Google update brought new waves of CTR destruction.
Period | Position #1 CTR | vs Previous Period | Research Notes |
---|---|---|---|
Jan 2023 | 28.7% | – | Pre-AI Overview baseline |
Jan-Feb 2024 | 26.4% | -8% | Early AI Override testing (5-10% queries) |
Mar-Apr 2024 | 22.1% | -16% | Expanded rollout (20-30% queries) |
May 2024 | 17.3% | -22% | Google I/O announcement, acceleration |
Jun-Jul 2024 | 11.8% | -32% | Major expansion (50-60% queries) |
Aug-Sep 2024 | 9.7% | -18% | Stabilization at new normal |
Oct 2024-Jan 2025 | 9.2% | -5% | Current rate (68% queries) |
This timeline shows the decline wasn’t gradual—it was staged drops correlating with AI Override rollout phases.

June 2025 core update shows cliff-drop as AI Override expanded to 60%+ of queries
Using AI Overview CTR Data to Set Recovery Goals
Now that you have this AI Overview CTR data, set realistic recovery targets based on your industry and query type mix. Ignore anyone promising “full traffic recovery”—the CTR structure changed permanently.
Unrealistic Goals (Pre-AI Override Thinking)
- ❌ “Restore traffic to 2023 levels” (impossible—CTR structure changed permanently)
- ❌ “Get back to 28% CTR at position #1” (only possible if AI Override removed—won’t happen)
- ❌ “Wait for Google to fix this” (this IS the fix, from Google’s perspective)
Realistic Goals (Based on Current Benchmarks)
- ✅ “Achieve 12-15% CTR at position #1” (30-60% above 9.2% average, through AI Override inclusion)
- ✅ “Recover 70-85% of traffic vs 2023 baseline” (through combination of better CTR + more keywords)
- ✅ “Shift 40% of keywords to transactional queries” (19.2% CTR vs 9.2% informational)
- ✅ “Reduce Google dependency from 80% to 50%” (diversify with YouTube, email, social)
Industry-Specific Realistic Targets
Your Industry | Current Avg (from research) | Realistic Target | Excellent Performance |
---|---|---|---|
Health/Medical | 5.2% | 8-10% | 12-14% |
Education/How-To | 6.1% | 9-12% | 14-16% |
Finance/Legal | 6.8% | 10-13% | 15-18% |
Tech/Software | 7.4% | 11-14% | 16-19% |
E-commerce | 9.3% | 13-16% | 18-21% |
Local Services | 14.7% | 18-22% | 23-26% |
Use this AI Overview CTR data to benchmark your recovery. If you’re in health getting 8% CTR at position #1, you’re performing 54% above industry average—that’s excellent in the AI Override era.
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FAQs: Click-Through Rate Research
Q: Is this data going to improve or get worse?
A: Worse. As AI Override expands from 68% to 80%+ of queries by 2026, average position #1 CTR will drop from 9.2% to projected 7-8%. Our analysis shows consistent decline trend since March 2024 with no reversal indicators.
Q: Does brand size affect these metrics?
A: Minimally. Large brands get 1-2% CTR boost (10-11% at #1 vs 9.2% average) from brand recognition. Small sites can match this through AI Override optimization. Our research shows optimization matters more than brand size.
Q: How often should I check my performance metrics?
A: Monthly. Compare your position #1 CTR to industry benchmarks. If you’re 20%+ below benchmark, investigate query-specific issues. Quarterly deep dives into performance patterns recommended.
Q: Can click-through rates improve with better content?
A: Yes—by 30-60% above baseline through: (1) AI Override inclusion (adds 3-5% CTR), (2) Curiosity-optimized titles (adds 2-4% CTR), (3) Schema markup (adds 1-2% CTR). Total realistic improvement: 6-11% above 9.2% baseline shown in research.
Related Articles
Sources & References
- ContentScale.site proprietary AI Overview CTR data analysis (50,127 queries, 212 sites)
- Advanced Web Ranking – CTR Study 2025
- Search Engine Land – AI Overview Research
- Moz – Click-Through Rate Studies
- Google Search Console aggregated data from 200+ ContentScale.site clients
Last Updated: October 2025 | Return to Traffic Drop Recovery Hub