Yandex Product Search to Enforce New Store Name Display Guidelines

In an effort to streamline and enhance the accuracy of its product search results, Yandex has announced upcoming changes to how store names are displayed. Moving forward, the tech giant will only showcase store names that are provided directly through the feed, with a strict verification process to ensure these names accurately reflect the official business titles.

This initiative is part of Yandex’s broader strategy to improve user experience by presenting cleaner, more straightforward search results. By enforcing these new guidelines, Yandex aims to eliminate confusion and ensure that shoppers can easily identify and understand the retailers listed in the product search outcomes.

Yandex has laid out specific criteria for how store names should be indicated in the feeds:

  • Emotional and evaluative vocabulary such as “best” or “wonderful” is prohibited.
  • Store names should not include regional descriptors or themes, like “Tomsk_Electrical Engineering” or “Romashka_Stationery_store.”
  • Terms related to sales or promotions, e.g., “crazy discounts,” are not allowed.
  • Store names must not be written entirely in capital letters.
  • The addition of phrases like “online store” or “shop,” as well as other unnecessary words and symbols, is discouraged.
  • The recommended length for store names is between 50-60 characters, with a maximum allowance of 150 characters.

However, Yandex clarifies that these rules have exceptions for businesses whose official commercial names include such descriptors or formatting. Stores with legally registered names that incorporate terms like “Knigi.ru” or are stylized in all caps, such as “HEADPHONES,” are not required to make adjustments.

This update underscores Yandex’s commitment to creating a more efficient and user-friendly search environment. By standardizing the presentation of store names, the platform aims to facilitate a smoother shopping experience, enabling users to find and engage with retailers more effectively.

Store owners and marketers are encouraged to review their current feed configurations to ensure compliance with the new guidelines. This proactive approach will help maintain visibility and relevance within Yandex’s product search results, thereby supporting continued customer engagement and sales opportunities.

As Yandex continues to refine its services and offerings, this change is a reminder of the importance of accuracy and clarity in the digital marketplace. Retailers and businesses participating in Yandex Product Search are poised to benefit from increased trust and improved interactions with potential customers, thanks to these more stringent naming conventions.

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.