Search Standing/Statistics
Research

Search and AI visibility statistics, 2026.

Published figures on AI answers and search behavior, alongside original data measured across twenty B2B and industrial companies in July 2026. Every figure is attributed and every method stated.

Free to cite with attribution.

Published research[1]

How common are AI Overviews in 2026?

Estimates range from roughly 20 to 50 percent of queries depending on the study, the vertical and the query type. No single figure is reliable on its own, and any source quoting one without that caveat should be treated with caution.

FindingFigureSource
AI Overview appearance, January 20250.00% of queriesSemrush, US desktop
AI Overview appearance, March 20250.00% of queriesSemrush, US desktop
AI Overview-cited pages ranking top ten, July 20250.0%Ahrefs, 1.9M citations
#1 organic result linked in the Overview, Sep 202446% desktop, 34% mobileSemrush
Organic CTR, informational, no AI Overview, Sep 20250.00%Seer Interactive
Organic CTR, informational, with AI Overview, Sep 20250.00%Seer Interactive
Organic CTR when the brand is cited in the Overview, Q3 20250.00%Seer Interactive

The direction of travel is documented outside our own work. Semrush measured Google AI Overviews on 6.49 percent of US desktop queries in January 2025 and 13.14 percent by March 2025. Ahrefs found 76 percent of pages cited in AI Overviews also rank in Google's top ten (1.9 million citations, July 2025). Seer Interactive measured organic click-through on informational queries at 0.61 percent with an AI Overview in September 2025, against 1.62 percent without one. Prevalence estimates vary by methodology and should be read as a range rather than a figure.

The composition shift matters more than the prevalence. AI Overviews began on informational queries and have moved steadily toward commercial ones. A feature that once answered general questions increasingly answers the questions buyers ask before purchasing.

Our own measurement[2]

What did we find measuring twenty B2B companies?

Twenty commercial B2B and industrial companies were measured across three markets in July 2026 using domain-level analysis with manual verification of live results. Six findings stood out, and all six ran counter to conventional assumptions about domain authority.

FindingMeasured
Largest company in its national category, keyword count0
Third-largest company in the same category0
Single-facility competitor in the same category0
Highest-traffic company in one local market, Authority Score9
A competitor in that market with 2.7× less traffic, Authority Score18
Companies in one market showing purchased or spam backlinks5 of 7
Companies in that market appearing in their own AI Overview0 of 7
Cost per click, highest-value term measured$0.00
Keyword difficulty for that same term14
Average difficulty across the 219-keyword cluster6
What predicts search performance in low-competition categoriesConventional assumptions hold that domain authority, backlink volume and company size predict search visibility. Measured data in B2B and industrial categories shows published page count, page specificity and entity clarity are the stronger predictors. ASSUMED TO PREDICT ACTUALLY PREDICTED Domain authorityPublished page countBacklink volumeOne subject per pageCompany sizeEntity clarityMarketing budgetTechnical vocabulary usedYears in businessPresence in cited sourcesMeasured across twenty companies in three markets, July 2026. In every market examined, page count outperformed domain authority as a predictor.
What predicts visibility in low-competition B2B categories, measured against what is assumed to.

Page count is a symptom, not a cause. What actually correlates is that companies with more pages have usually decided what each page is for. Twelve undifferentiated blog posts and one clear capability page produce very different results, and the first is considerably more common.

Method: twenty companies measured 26–28 July 2026 using the Semrush US database at root domain scope, covering seven companies in one mid-size metro, four in a major metro, and nine national operators. Every AI finding was verified against a live answer. One keyword reported at 170 monthly searches was excluded entirely after manual checking found no relevant business in the top ten.

Reading these figures[3]

How should these numbers be interpreted?

Carefully, and with the methodology attached. Prevalence figures for AI Overviews vary by a factor of more than two between published studies, because each tracks a different keyword set, geography and device mix.

Sample composition drives the numberA study tracking commercial queries will report far higher AI Overview prevalence than one tracking a general sample.
The feature is still changingWhen the underlying model changed in January 2026, a substantial share of previously cited domains were replaced within weeks.
Category matters more than the averagePrevalence in one industry tells you little about another. Measure your own category rather than citing a headline figure.
Correlation is not causationCompanies with more pages rank better. That does not mean adding pages alone produces rankings.
Our sample is smallTwenty companies in three markets is enough to identify a pattern, not enough to generalise across all industries.
Figures date quicklyAnything here more than six months old should be re-verified before being relied upon.
Our own results[4]

What have we produced ourselves?

One measured outcome so far, on a site we built and run ourselves. It is published here because a claim nobody can check is worth nothing, and because we would rather show a small true number than a large vague one.

A B2B site we built and run ourselves went from zero weekly search clicks to a steady flow within twelve weeks, on a domain with no prior search history and no purchased links. The pages were written to the same specification standard described across this site.

That is the whole of it at present. Client results will appear on this page as they exist, with the company named where the client permits it, and with the numbers as measured rather than as projected. Where an engagement underperforms, that will be published too.

We are aware that a category built on measurement should be able to show its own. This section will get longer. The measured timeline, and the week-by-week chart from this domain, are on how long SEO takes.

Questions[5]

Questions about this data

What percentage of Google searches show an AI Overview in 2026?
It depends on the query set. Semrush measured AI Overviews on 6.49 percent of US desktop queries in January 2025 and 13.14 percent by March 2025; later studies with other samples report higher levels. Informational and question-form queries trigger them most. The variance comes from keyword sample, geography and query type rather than disagreement about the trend.
How much do AI Overviews reduce click-through rate?
Seer Interactive measured organic click-through on informational queries at 0.61 percent with an AI Overview in September 2025, against 1.62 percent without one. On Overview queries alone it fell from 1.76 percent in June 2024, a decline of roughly 65 percent. The effect is most pronounced on informational queries, where the answer often satisfies the searcher entirely, and less pronounced on queries where the user needs to reach a specific supplier or complete a transaction.
Does domain authority predict search performance?
Less than commonly assumed, particularly in low-competition B2B categories. In one market measured in July 2026, the company with the highest organic traffic held an Authority Score of 9, while a competitor receiving 2.7 times less traffic held 18. Across all three markets examined, published page count was a stronger predictor of visibility than domain authority.
Can I cite this data?
Yes, with attribution to Search Standing and a link to this page. Published figures should be attributed to their original sources, which are named in each row. Our own measured data was collected between 26 and 28 July 2026 and the method is stated on this page.
How large was the sample?
Twenty companies across three markets: seven in one mid-size metro, four in a major metro, and nine national operators in the same category. That is sufficient to identify a consistent pattern within those markets and insufficient to generalise across all industries. It is described here as measurement rather than as research.
Sources[S]

Sources and measurement notes

  1. Semrush AI Overviews study, 2025 (via MarTech) https://martech.org/whitepaper/semrush-ai-overviews-study-what-2025-seo-data-tells-us-about-googles-search-shift/
  2. Ahrefs: 76% of AI Overview citations rank in the top 10, July 2025 https://ahrefs.com/blog/search-rankings-ai-citations/
  3. Seer Interactive: AI Overviews and CTR https://www.seerinteractive.com/insights/aio-impact-on-google-ctr-september-2025-update
  4. Advanced Web Ranking CTR study https://www.advancedwebranking.com/ctrstudy/

Figures described as measured are from Search Standing's own analyses using Semrush, Google Search Console and direct queries to each AI engine, on the dates stated. Published ranges move quarter to quarter; the patterns are what we rely on.

Start[7]

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