Google has been the leading search engine for over two decades, and during this time, it has undergone numerous changes to its search algorithm.
Google has been the leading search engine for over two decades, and during this time, it has undergone numerous changes to its search algorithm. These changes have greatly impacted the way websites are ranked and how users search for information online. In this article, we'll take a look at some of the most significant changes to Google's search algorithm.
Panda (2011): The Panda update was one of the first major updates to Google's search algorithm, and it focused on reducing the visibility of low-quality websites. The update was designed to promote high-quality websites with original, informative content and reduce the visibility of websites with duplicate or low-quality content.
Penguin (2012): The Penguin update was another major update that targeted websites engaging in spammy link-building practices. The update penalised websites that used manipulative link-building tactics, such as purchasing links, to artificially increase their rankings.
Hummingbird (2013): The Hummingbird update marked a significant change in Google's search algorithm as it focused on improving the understanding of user search queries. The update aimed to provide more relevant results by focusing on the context of a user's search query instead of just the keywords.
Pigeon (2014): The Pigeon update was designed to improve the local search results, providing users with more relevant and accurate local results. The update impacted the visibility of local businesses in search results and gave more weight to Google's local search algorithms.
Mobilegeddon (2015): The Mobilegeddon update was focused on mobile search and was designed to penalise websites that were not mobile-friendly. The update ensured that mobile users had access to websites that were optimised for mobile devices.
RankBrain (2015): RankBrain was a significant update that introduced artificial intelligence into Google's search algorithm. The update aimed to improve the understanding of user search queries and provide more relevant results by using machine learning to analyse user behaviour.
BERT (2019): BERT was a major update that impacted the way Google understands and processes search queries. The update used natural language processing to better understand the context of a user's search query, making it possible to provide more accurate results.
These are just a few of the major updates to Google's search algorithm, and there have been many more since the first update was released in 2000. Google's search algorithm continues to evolve, and it is important for businesses to stay up-to-date on the latest changes in order to remain visible in search results and provide the best user experience for their customers.
Google's search algorithm has undergone significant changes over the years, and these changes have greatly impacted the way websites are ranked and searched. It is important for businesses to stay up-to-date on the latest changes in order to remain visible in search results and provide the best user experience for their customers.
