Yandex Updates Search With Alice As AI Integration Expands

Yandex has rolled out a major update to its Search platform, now featuring deeper integration with its voice assistant, Alice. This change was officially announced at the company’s recent Search Day conference.

Anton Gorelkin, Deputy Chairman of the State Duma IT Committee and Chairman of the Board of ROCIT, shared his thoughts on the update. He welcomed the move and highlighted its timeliness, especially as Google recently began introducing its “AI Overview” feature to Russian-speaking users.

According to Gorelkin, “Search with Alice” offers more functionality than Google’s AI Overview. He noted that Yandex now supports a reasoning mode and limited content generation directly in the search bar, depending on a user’s subscription status.

Another change he pointed out was the improvement of the object response feature. This card, which appears to the right of search results, now includes Alice’s assistance. Users can ask follow-up questions to explore a topic further. The content in these cards has also shifted away from relying heavily on Wikipedia. Yandex now includes references from sources like Ruvica and other trusted databases.

However, Gorelkin expressed disappointment that Wikipedia links are still present in classic search results. Even though Yandex marks these links with a warning about legal violations, he questioned their continued use. He argued that Russian alternatives have already replicated Wikipedia’s content, removing what he described as biased narratives. He added, “Artificial intelligence is, of course, very good, but Yandex search will become even better if people look after it.”

At the Search Day event, Yandex made several other announcements:

  • Users can now generate text and images in the search bar.
  • New search categories have been launched for products, financial services, and real estate.
  • YandexGPT 5 Lite is now available to all Alice users.

These updates come shortly after Google’s I/O 2025 conference, where the company revealed its own developments in AI and new digital services.

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.