Neuro Search Usage Grows By 50% Over The Past Year

Neural search tools are becoming more popular among users, especially on Yandex. Over the past year, usage of Yandex’s Neuro Button—a tool that gives AI-generated answers based on web data—has grown by nearly 1.5 times.

Launched in April 2024, the Neuro Button started with around 7.4 million daily users. As of April 2025, that number has risen to 10.5 million.

Alongside this growth, more users are also diving deeper into answers. Yandex reports a 30% increase in how often users open and study the full versions of AI-generated responses. This suggests that habits may be shifting, with users relying more on neural tools to tackle complex queries.

The number of people using neural networks multiple times per week has also doubled in the last year. However, the share of clicks from AI answers to the original source websites has stayed the same, even with the increased usage.

Search activity overall has climbed. Yandex saw a 9.9% rise in total search queries year-over-year. In the same period, the number of questions asked to generative AI tools exceeded 6.7 billion.

This trend follows global patterns. Google’s AI Overviews feature is now present in about half of all search results. Back in March 2025, analysts noted that fewer users were clicking on traditional top-ranking links because AI summaries already provided the needed answers.

Yandex’s financial results also reflect this increased activity. In Q1 2025, the company posted revenue of 306.5 billion rubles, up 34% from the same period in 2024.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.