YandexGPT Integrates Quick Answers into Search Results for All Users

Yandex has made a significant advancement in its search engine capabilities by integrating quick answers from YandexGPT into its search results, now accessible to all users.

This development marks a new phase in the testing of Yandex’s neural network-powered response system, offering users instantaneous, concise answers directly within the search interface.

To prevent the neural network from using resource information to generate quick responses, you need to set a prohibiting directive for YandexAdditional in the robots.txt of the site:

User-Agent: YandexAdditional

Disallow: /

Initially launched in a limited testing mode since September 2023, YandexGPT’s quick answers feature has undergone rigorous trials with the participation of over 200,000 individuals. The objective has been to refine the system’s ability to provide accurate, brief responses to a wide array of user queries, while simultaneously ensuring that the volume of queries eligible for such responses remains controlled.

Yandex’s blog for Webmasters details the current testing phase, where quick answers generated by YandexGPT appear alongside the search engine’s traditional quick responses. A unique identifier, “Summarize the response using YandexGPT,” distinguishes the neural network’s answers, and the source of the information is now more prominently displayed. This approach not only enhances the user experience by offering a choice between neural network-generated and conventional responses but also ensures transparency regarding the origin of the information.

An interesting aspect of this development is the empowerment of site owners regarding their content’s utilization in generating these updated quick responses. Yandex has implemented a mechanism through which webmasters can opt-out of having their site’s information used by YandexGPT. By inserting a specific prohibiting directive in their site’s robots.txt file, site owners can prevent the neural network from accessing their content to formulate quick answers.

The quick answers feature is designed to streamline the information retrieval process, providing users with immediate information directly under the search bar, thus eliminating the need to visit a website. This functionality is particularly beneficial for queries requiring straightforward, factual answers, such as definitions, quick facts, or specific data points.

The integration of YandexGPT into Yandex’s search results represents a forward leap in search engine technology, reflecting a broader trend towards incorporating artificial intelligence and machine learning to enhance digital experiences. As Yandex continues to refine this feature, the potential for more sophisticated, accurate, and contextually relevant responses grows, setting a new standard for how users interact with search engines and access information online.

This expansion of YandexGPT’s capabilities signals Yandex’s commitment to innovation in the AI space, promising to deliver a more efficient, user-friendly search experience while respecting the rights and preferences of content creators and site owners.

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.