Alexey Gusakov Appointed Technical Director of Yandex’s Search and Advertising Technologies Business Group

Yandex has appointed Alexey Gusakov as the new technical director of its Search and Advertising Technologies business group. He previously served as the technical director of Yandex Search. In his new role, he will oversee the implementation of a unified technology strategy and coordinate the development of technologies across Yandex.

Strengthening Engineering Leadership

The company stated that this appointment will reinforce the role of engineers in top management. Gusakov will focus on improving recommendation systems, expanding machine learning infrastructure, and optimizing business processes with AI. The business group will continue integrating artificial intelligence into Yandex products and developing open-source solutions.

Yandex also remains committed to advancing its large language models, including YandexGPT, and supporting research through Yandex Research.

Background and Achievements

Gusakov graduated from the Faculty of Mechanics and Mathematics at Moscow State University. He joined Yandex in 2015 and played a key role in developing its AI technologies.

In 2016, he created Yandex’s first neural network for Search, which led to the Palekh search algorithm. He also led the Alice team and helped develop Yandex’s voice technologies, now used for video translation in the Browser.

Under his leadership, Yandex released YandexGPT and the diffusion neural network YandexART. These technologies power services like Alice, Masterpiece, Yandex Direct, and Market.

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.