Not every query has the same odds of triggering AI Overviews or AI Mode. An “X vs Y” comparison query and a single-word search can differ in trigger rate by up to four times. This piece examines which query types get an AI answer more often, using three independent data sets: Seer Interactive’s query-format analysis, Semrush’s intent-based time series, and BrightEdge’s 12-month industry tracking.
This is a direct follow-up to the pillar post explaining what GEO and AEO mean. That piece covered Pew Research’s and Ahrefs’ general click-through-rate data; here the question is different: in which queries does an AI answer almost never appear, and in which is it nearly guaranteed?
Trigger Rate by Query Format
Seer Interactive’s 2026 update to “AIO Impact on Google CTR”, published in April 2026, is based on a tracked set of 49,353 queries. Trigger rates by query format:
| Query format | AI Overview trigger rate | Example |
|---|---|---|
| Comparison (“X vs Y”) | 95.4% | “Target ROAS vs Target BROAS” |
| Review format | 86.3% | “best CRM tools” |
| Question format | 85.9% | “what is the GA4 AI Assistant channel" |
| "Near me” local informational | 76.9% | “digital agency near me” |
| Single-word query | 27.3% | “CRM” |
The comparison-query rate was calculated on a smaller subset of just 280 queries (267 of which showed an AI Overview); the question-format rate came from 1,413 queries, 1,214 of which triggered one — so sample size varies by query type. The overall takeaway still holds: a query that requires comparing or synthesizing multiple options is clearly more likely to trigger an AI answer.
How Trigger Rate Shifted by Search Intent Over Time
Semrush’s study covering more than 10 million keywords (updated December 15, 2025) shows the shift in intent-based trigger rate between January and November 2025:
| Search intent | January 2025 | October 2025 | Change |
|---|---|---|---|
| Informational | 91.3% | 57.1% | -34.2 pts |
| Commercial | 8.15% | 18.57% | +10.42 pts |
| Transactional | 1.98% | 13.94% | +11.96 pts |
| Navigational | 0.84% | 10.33% | +9.49 pts |
Read in isolation, the table can mislead: informational queries look like they dropped, but they’re still the highest category in absolute terms. What actually changed is that AI Overviews, which started out almost entirely limited to informational queries, has now spread noticeably into commercial and transactional searches. In the same study, Semrush reports the zero-click rate for AI-Overview-triggering keywords didn’t stay flat either — it fell from 33.75% in January to 31.53% in October — meaning the assumption that “an AI Overview automatically kills clicks” isn’t confirmed in one direction over time.
Trigger Rate and Source Overlap by Industry
BrightEdge’s one-year tracking report (February 12, 2026) tracks nine industries daily from February 2025 to February 2026. The overall trigger rate rose from 31% to 48% over that period. The gap between industries is large:
| Industry | Overlap with organic top 10 |
|---|---|
| Healthcare | 24.0% |
| Education | 23.1% |
| B2B Tech | 22.6% |
| Insurance | 22.4% |
| Entertainment | 18.5% |
| Travel | 17.7% |
| E-commerce | 13.4% |
| Finance | 11.3% |
| Restaurants | 9.3% |
The report notes that, overall, only about 17% of sources cited in AI Overviews also rank in the organic top 10 — meaning the large majority of cited pages come from outside the classic first page. This ratio varies by up to double across industries: overlap approaches one in four in healthcare, while it stays under one in ten for restaurants. Low overlap in finance and e-commerce suggests that in these industries, showing up in an AI Overview requires effort separate from traditional ranking.
Reading the Three Data Sets Together
Seer, Semrush, and BrightEdge use different time windows, different countries, and different query sets, so the numbers can’t be added together directly. Still, all three point the same way:
- Format may matter more than intent. Even a commercial-intent query can have a high trigger probability if it’s phrased as a comparison (something like “X vs Y best CRM”), while a single-word commercial query can stay low.
- “Just target informational queries” is an aging strategy. Trigger rates for commercial and transactional queries multiplied within 2025; content planning now needs to cover product and decision pages too.
- Industry determines both trigger odds and citation odds. In high-trust-threshold areas like healthcare and education, organic ranking is more likely to convert into an AI citation; in finance and e-commerce, being in the top 10 isn’t a strong enough guarantee on its own.
These three findings give you a benchmark when tracking which of your own queries and page types show up, using the Search Console Generative AI report.
Practical Takeaways
- Prioritize comparison and decision queries in content planning, not just “what is” questions.
- Build clear, early-answer structure into commercial and transactional pages too — trigger share is growing fastest there.
- Know your industry’s organic-to-AI overlap rate; if you’re in a low-overlap industry, look beyond ranking at citation behavior specifically.
- Don’t treat a single point-in-time rate as permanent — Semrush’s data shows double-digit percentage-point shifts across all four categories within ten months.
- Track your own query set regularly via the Search Console Generative AI report and compare it against these general trends.