Yandex Enhances Neuro Service with Voice Input and Improved Accuracy

Posted by By Dan Taylor 2 Min Read

Yandex has announced significant updates to its Neuro service, enhancing its ability to answer user queries with greater accuracy and adding new features for convenience and accessibility.

Improved Accuracy and Expanded Sources

The Yandex team has further trained the YandexGPT-3 family model, which powers the Neuro service. This enhancement allows Neuro to prepare answers using a broader array of sources, resulting in a better understanding of user queries and more precise responses.

New Voice Input Feature

In a bid to make the service more user-friendly, Yandex has introduced a voice input feature. Users can now ask questions by clicking the microphone icon in the Neuro search bar and speaking their request. This feature is currently available on ya.ru in Yandex Browser for PC, as well as in the Yandex Browser and Yandex with Alice applications for Android. An iOS version of this feature is expected to launch soon.

Enhanced Accessibility

Yandex has also made Neuro more accessible to users with visual impairments. The service has been adapted for screen readers, which vocalize interface elements, text, and on-screen activities, making it easier for visually impaired users to navigate and utilize the service.

Expansion and Availability

Initially launched in Russia in April 2024, Neuro expanded its reach to Kazakhstan by the end of June. With these updates, Yandex continues to improve the functionality and inclusivity of its services.

Source: Yandex press release

Dan Taylor
View More Posts
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.
Founder & Editor