Skip to main content

Searcherries Announces AI Search Statistics Report: 59% Say AI Search Reduces or Replaces Traditional Search

By: Newsfile
ⓘ This article is third-party content and does not represent the views of this site. We make no guarantees regarding its accuracy or completeness.

Warsaw, Poland--(Newsfile Corp. - March 3, 2026) - Searcherries today announced the publication of its new report, "AI Search Statistics: Survey, Research & Trends," outlining how AI search tools are changing information-seeking behavior and how citations appear in AI-generated answers.

Cannot view this image? Visit: https://images.newsfilecorp.com/files/8871/285917_search1.jpg

Photo: Zulfugar Karimov / Unsplash

To view an enhanced version of this graphic, please visit:
https://images.newsfilecorp.com/files/8871/285917_search1en.jpg

Key findings

  • 78.0% of respondents say they use AI search multiple times per week (including 54.1% daily).

  • 58.7% report that AI search has reduced or replaced their use of traditional search engines.

  • 27.5% say they never open source links after receiving an AI answer.

  • Top use cases include quick fact-checking (67.0%) and deep research/topic synthesis (52.3%).

  • The top reason for choosing AI search is speed (68.8%), followed by personalized advice (40.4%).

What users do after getting an AI answer

When asked about post-answer behaviour, the most common response was opening one or two links (34.9%) to verify or learn more. Another 17.4% said they cross-check using traditional search, while 10.1% continue the conversation with follow-up questions. A smaller share (7.3%) save or copy answers to notes, and 27.5% say they do not click sources at all.

How sources show up in AI search results

The research team also summarized patterns from a citations dataset covering 24,069 multi-turn sessions across 13 AI search models, spanning 72 languages and over 171,000 citations. In that dataset, 71.2% of answers included at least one citation, with 3.7 citations per answer on average, while roughly 29% included none. The analysis also found a strong "long-tail" effect: 64.3% of cited domains appeared only once, even as a small set of domains attracted a disproportionate share of citations.

Methodology

The U.S. survey polled 1,090 respondents in February 2026. Questions covered usage frequency, tasks, motivations, post-answer behaviour, and impact on traditional search habits. The accompanying citations analysis is based on a compiled dataset of multi-turn AI search sessions and observed citations within AI-generated answers.

About Searcherries

Searcherries is a company that builds an AI visibility platform to help brands measure and improve how they appear in AI-generated answers.

Media contact

Eduard Mur, Founder of Searcherries
Email: hello@searcherries.com

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/285917

Report this content

If you believe this article contains misleading, harmful, or spam content, please let us know.

Report this article

Recent Quotes

View More
Symbol Price Change (%)
AMZN  248.50
+0.00 (0.00%)
AAPL  266.43
+0.00 (0.00%)
AMD  258.12
+0.00 (0.00%)
BAC  54.32
+0.00 (0.00%)
GOOG  334.47
+0.00 (0.00%)
META  671.58
+0.00 (0.00%)
MSFT  411.22
+0.00 (0.00%)
NVDA  198.86
-0.01 (-0.01%)
ORCL  169.81
+0.00 (0.00%)
TSLA  391.95
+0.00 (0.00%)
Stock Quote API & Stock News API supplied by www.cloudquote.io
Quotes delayed at least 20 minutes.
By accessing this page, you agree to the Privacy Policy and Terms Of Service.