Google Freshness Algorithm: How Fresh Content Affects
Posted: Mon Jan 20, 2025 4:52 am
We will see it with our own eyes very soon. Search Rankings In 2003, the world's largest search engine Google developed the Freshness algorithm, which determines the relevance or freshness of content. In 2011, the search engine updated this algorithm and significantly increased its role in ranking sites. For which queries is content relevance a critical ranking factor? How does fresh content affect a site's position in search results? Read below.
SEO Google Dmitry Dementiy Date of publication: 17 Mar 2015 8 minutes netherlands email list 10 586 How Google's Freshness Algorithm Determines Content Freshness Google Fellow Amit Singhal explains how the Freshness algorithm evaluates content . He says that Google evaluates the timeliness or freshness of each site as a whole. The search engine then evaluates this indicator on a page-by-page basis, determining the relevance of the content to user search queries.
Note that for some types of queries, freshness of content is a critical ranking factor. Amit Singhal identifies the following groups of search phrases: Queries related to current events, hot topics. For example, "Novodevichy Convent fire", "Polina Gagarina Eurovision". Queries related to regularly repeating events. For example, "Serie A final round results", "dollar to euro exchange rate", "Name of a cool series currently on TV + latest episode".
SEO Google Dmitry Dementiy Date of publication: 17 Mar 2015 8 minutes netherlands email list 10 586 How Google's Freshness Algorithm Determines Content Freshness Google Fellow Amit Singhal explains how the Freshness algorithm evaluates content . He says that Google evaluates the timeliness or freshness of each site as a whole. The search engine then evaluates this indicator on a page-by-page basis, determining the relevance of the content to user search queries.
Note that for some types of queries, freshness of content is a critical ranking factor. Amit Singhal identifies the following groups of search phrases: Queries related to current events, hot topics. For example, "Novodevichy Convent fire", "Polina Gagarina Eurovision". Queries related to regularly repeating events. For example, "Serie A final round results", "dollar to euro exchange rate", "Name of a cool series currently on TV + latest episode".