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AI Overviews now touch 1 in 3 commercial queries

Transactional query presence jumped from 2% to 14% in just four months. Semrush's 10M-keyword dataset, BrightEdge's commercial tracker, and Seer Interactive's 2.4B-impression longitudinal study — here's what the numbers actually say.

R
AVG Research Desk
Jun 19, 2026
11 min read
AI OVERVIEW PREVALENCE — GOOGLE QUERIES 2025–2026
50% 37% 25% 0% 24.6% peak 15.7% pullback 48%* Jan 25 Apr 25 Jul 25 Nov 25 Jan 26 Mar 26 *BrightEdge commercial verticals · Semrush all-query median ~25% · Sources: sqmagazine.co.uk, quickseo.ai
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Key stat

Brands cited inside AI Overviews earn 35% more organic clicks and 91% more paid clicks than non-cited competitors on the same SERP. Digital Applied / Launchcodex, Mar 2026

Google AI Overviews began their life as an informational-query feature. Ask "how does photosynthesis work" and you'd get a summary. Ask "best CRM for small business under $50/seat" and you'd still get blue links. That split no longer holds. Three major datasets published in Q1–Q2 2026 confirm that commercial queries are now inside the AI Overview layer at scale — and the brands cited within them are capturing disproportionate commercial outcomes.

Where prevalence stands in 2026

The headline numbers vary by dataset composition and query intent, but direction is consistent. BrightEdge's commercial-vertical tracker — focused on buying-intent queries — recorded 48% AI Overview prevalence by March 2026, a 58% year-over-year increase. Conductor's Q1 2026 benchmark across 21.9 million queries put the figure at 25%. Semrush's broader 10M-keyword dataset showed a peak of 24.6% in July 2025, followed by a pullback to 15.7% by November, before resuming its climb into 2026.

AI Overview prevalence by query type · Seer Interactive, 2026
Comparison queries (X vs Y)95%
Question-format queries86%
Review queries86%
Informational queries (general)36%
Commercial investigation queries14%
Transactional queries (was 2% in 2025)14%

Sources: SQ Magazine, May 2026; Semrush / Search Engine Land, Dec 2025

The commercial shift in four months

The most significant single data point is the transactional query jump. In November 2025, Semrush measured AI Overviews appearing on roughly 2% of transactional queries. By March 2026, that figure had reached 14% — based on a dataset of 20.9 million shopping SERPs. That's a 7× increase in four months. The commercial invasion is happening faster than most SEO teams budgeted for.

Comparison queries (X vs Y format) were always the canary: they've triggered AI Overviews at 95.4% of the time since early 2026. These are exactly the queries where buyers are evaluating alternatives — the highest-value moment in the purchase journey.

The CTR picture is more nuanced than the headlines

Seer Interactive's longitudinal study — 2.43 billion impressions across 53 brands and 5.47 million queries — is the most comprehensive CTR dataset in the field. Its key finding: organic CTR on AI Overview queries fell from 1.76% in early 2025 to 0.61% by September 2025, a 65% collapse. It then rebounded 85% to 2.4% by February 2026. The prevailing narrative of permanent CTR erosion doesn't match the data.

The more important finding: CTR on queries without an AI Overview actually rose from 2.8% to 3.8% over the same period. The gap between AIO-present and AIO-absent queries is currently ~37%. That gap is the planning assumption teams should be running on.

Cited brands win the commercial outcomes

Data published by Digital Applied in March 2026 provides the clearest commercial case for AI visibility investment. Brands cited inside AI Overviews earn 35% more organic clicks and 91% more paid clicks compared to non-cited competitors on the same queries. Being named inside the AI response is more commercially valuable than holding the top organic position below it.

"Citation is the new position one for queries where AI Overviews appear."

Launchcodex, May 2026

Implications for GEO strategy

The playbook is shifting from "win position one" to "win the citation inside the AIO for queries where it appears." For most B2B and e-commerce teams, that means: audit which of your target queries now trigger AIOs, identify which competitors are cited there, and restructure those pages to lead with a direct, extractable answer.

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