Yandex Fully Integrates Neuro to Enhance Search Capabilities

Yandex has expanded its search capabilities with the full integration of its AI service, Neuro.

Launched in April 2024, Neuro was initially available for specific queries within Yandex apps, including Alice and Yandex Browser. Now, the AI-driven tool will assist with all types of searches, including more complex queries.

At Yandex’s Search Day event in Moscow on October 3, 2024, Dmitry Masyuk, head of the Yandex Search and Advertising Technologies group, introduced the latest advancements in Yandex Search.

He explained that Neuro is designed to provide detailed answers in a conversational style and now handles around 20% of all searches by default. Users can also manually engage Neuro to clarify answers or ask follow-up questions.

Neuro’s AI capabilities allow it to tackle complex, multi-part questions. For example, when comparing flight durations between cities like Moscow, Beijing, and Hanoi, Neuro automatically breaks down the query and provides a direct answer. In addition, it understands the relevance of current events, such as upcoming concerts and match results.

Enhanced Features With Neuro

Neuro goes beyond answering basic questions. Users can now find detailed product information and service recommendations in dialogue mode.

The AI tool can help book appointments with doctors, compare banking products, or explore various product options. Yandex Search includes a database with over 2.7 billion product listings from online stores, making it easier for users to find exactly what they are looking for.

In addition, Neuro can solve school math problems for students up to grade 9. Users can enter the problem text into the search bar or upload a handwritten photo. Plans are underway for Neuro to handle physics and chemistry problems as well.

Image Search With AI

Yandex has also introduced AI-powered image search through its VLM (Visual Language Models). Users can now ask questions about images, and the service will analyze them pixel by pixel to provide accurate answers. This capability is accessible via Image Search and Smart Camera in Yandex apps.

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.