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What is the core principle behind 'query clustering' and how does it benefit SEO efforts in Yandex?



The core principle behind 'query clustering' is to group related search queries based on semantic similarity and user intent, rather than treating each keyword as an isolated entity. This involves identifying keywords that share the same underlying meaning or address the same user need, even if they use different wording. Query clustering benefits SEO efforts in Yandex by enabling the creation of more comprehensive and targeted content. By understanding the different ways users search for the same topic, content can be optimized to address the full range of user queries, improving relevance and increasing the likelihood of ranking for a wider range of keywords. Clustering helps to identify content gaps by revealing areas where the website doesn't adequately address specific user needs related to a particular topic. For example, if users search for 'best running shoes', 'top running shoes', and 'running shoe reviews', query clustering would group these terms together, indicating a need for content that compares and reviews running shoes. Grouping also allows for improved internal linking, connecting related content to provide a better user experience and boost topical authority, which Yandex considers in its ranking algorithms.