History of Google Algorithm Updates

Google Algorithm Updates

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What is Google Algorithm?

Google Algorithm Updates: Google Algorithm is a set of formulas and rules that the search engine uses to rank websites in the search results. These algorithms take into account hundreds of ranking factors or signals, such as the content of a webpage, the number,, and quality of links pointing to the webpage, the user’s search query, and the relevance of the website to the user’s search query. Some of the most well-known Google algorithms include the PageRank algorithm, the Hummingbird algorithm, the Penguin algorithm, and the Panda algorithm.

  • Florida (November 16, 2003)
  • Big Daddy (December 15, 2005)
  • Jagger (September 1, 2005)
  • Vince (January 18, 2009)
  • Caffeine (August 10, 2009)
  • Panda Update (February 23, 2011)
  • Panda Update (#24) (January 22, 2013)
  • Panda Update 3.1 (November 18, 2011)
  • Panda Update 3.0 (October 19, 2011)
  • Panda Update 2.5 (September 28, 2011)
  • Panda Update 2.4 (August 12, 2011)
  • Panda Update 2.3 (July 23, 2011)
  • Panda Update 2.2 (June 21, 2011)
  • Panda Update 2.1 (May 9, 2011)
  • Panda Update 2.0 (April 11, 2011)
  • Panda Update (#23) (December 21, 2012)
  • Freshness Algorithm (November 3, 2011)
  • Page Layout Algorithm
  • Venice Update
  • Broad Core Algorithm Update (August 1, 2018)
  • BERT (Worldwide) (December 9, 2019)
  • BERT Update (October 25, 2019)
  • Broad Core Algorithm Update (September 24, 2019)
  • Featured Snippets Update (August 1, 2019)
  • March 2019 Core Update (a.k.a. Florida 2) (March 12, 2019)
  • Valentine’s Day Update (February 13, 2019)
  • December 2020 Core Update (December 3, 2020)
  • May 2020 Core Update (May 4, 2020)
  • Featured Snippet Deduplication (January 22, 2020)
  • January 2020 Core Update (January 13, 2020)
  • December 2021 Product Review Update (December 1, 2021)
  • November 2021 Local Search Update (November 30, 2021)
  • Broad Core Update (November 17, 2021)
  • Spam Update Part 2 (June 28, 2021)
  • June 2021 Spam Update (June 23, 2021)
  • Page Experience Update (June 15, 2021)
  • Broad Core Algorithm Update (June 2, 2021)
  • May 2022 Core Update (May 22, 2022)
  • March 2022 Product Algorithm Update (March 23, 2022)
  • Page Experience Update (February 22, 2022)
  • Penguin
  • Penguin Update 2.1 (October 4, 2013)
  • Penguin Update 2.0 (May 22, 2013)
  • Penguin Update 3.0 (October 17, 2014)
  • Panda Update 4.1 (#27) (September 23, 2014)
  • Panda Update (#25) (March 14, 2013)
  • EMD (Exact Match Domain)
  • Mayday (April 28, 2010)
  • Payday Loan Update (June 11, 2013)
  • Hummingbird (September 26, 2013)
  • Pigeon Update (July 24, 2014)
  • Mobilegeddon
  • Quality Updates
  • Rank Brain
  • Fred (March 7, 2017)
  • Payday Loan Update 3.0 (June 12, 2014)
  • Panda Update 4.0 (#26) (May 20, 2014)
  • Payday Loan Update 2.0 (Payday Loan Update 2.0)
  • Page Layout Refresh (February 6, 2014)
  • RankBrain (October 26, 2015)
  • Panda Update 4.2 (#28) (July 17, 2015)
  • Quality Update (May 3, 2015)
  • Mobile-Friendly Update (April 21, 2015)
  • Unnamed Update (November 10, 2016)
  • Penguin Update 4.0 & Core Algorithm Integration (September 23, 2016)
  • Quality Update (June 1, 2016)
  • Mobile-Friendly Update (#2) (May 12, 2016)
  • Panda Core Algorithm Incorporation (January 11, 2016)
  • Maccabees Update (December 12, 2017)
  • Fall Flux (September 8, 2017)
  • Quality Update (August 19, 2017)
  • June 25 Update (June 25, 2017)
  • Quality Update (May 17, 2017)
  • Google Spam Update (November 3, 2021)
  • Google Link Spam Algorithm Update (July 26, 2021)
  • July 2021 Core Update Completed (July 12, 2021)
  • July 2021 Core Update (July 1, 2021)
  • Known Victims Protection (June 10, 2021)
  • Product Reviews Update (April 8, 2021)
  • Passage Ranking ( February 10, 2021 )
  • Product Review Algorithm Update (September 20, 2022)
  • Core Algorithm Update (September 12, 2022)
  • Helpful Content Update (August 25, 2022)
  • July 2022 Product Reviews Update (July 27, 2022)

Below we have compiled a full list of Google algorithm launches, updates, and refreshes that have rolled out over the years, as well as links to resources for SEO professionals who want to understand each of these changes.

Florida Update

The Florida update was a major algorithm update released by Google in November 2003. It was designed to improve the relevancy of the search results by targeting spammy techniques that were being used to manipulate search engine rankings. The Florida update was one of the first major updates that targeted these manipulative practices, and it had a significant impact on many websites that were using these techniques. The Florida update specifically targeted keyword stuffing, which is the practice of repeating keywords multiple times in a webpage in an attempt to improve its search engine rankings. This update also impacted on link farms, cloaked pages and other manipulative practices. The update led to many websites losing significant visibility in search results, and it also led to many webmasters and SEOs changing their approach to search engine optimization.

Big Daddy Update

Big Daddy was a Google update that was released on December 15, 2005. Its main goal was to improve the way Google handled redirects and URL canonicalization, which helped to reduce the number of duplicate pages in the search results. Additionally, it also aimed to improve the crawling and indexing of websites, which helped to make sure that new content was indexed quickly and accurately. Overall, the Big Daddy update helped to improve the overall quality of the search results and provide a better user experience.

Jagger

Jagger was a set of updates to the Google algorithm that was rolled out in several stages between September and November 2005. The main goal of Jagger was to improve the quality of Google’s search results by targeting web spam and low-quality websites. This included cracking down on link farms and other forms of manipulative link building, as well as identifying and penalizing sites that used hidden text or other black-hat SEO techniques. Jagger also aimed to improve the way that Google handled duplicate content, which helped to reduce the number of duplicate pages in the search results. Overall, Jagger helped to improve the overall quality of the Google search results and provide a better user experience.

Vince (January 18, 2009)

Vince was a Google update that was released on January 18, 2009. The main goal of this update was to improve the way Google ranked brand names and domain names, which helped to give more visibility to well-established and reputable websites. It was said that this update particularly affected the search results in the field of technology, entertainment and travel. Vince was also believed to have improved the way Google handled exact match domains, which helped to reduce the visibility of low-quality or spammy websites that relied heavily on exact match domains to rank in the search results. Overall, the Vince update helped to improve the overall quality of the Google search results and provide a better user experience.

Caffeine (August 10, 2009)

Google Caffeine was a major update to the Google’s search infrastructure that was announced on August 10, 2009, and fully implemented in June 2010. The main goal of Caffeine was to improve the speed and accuracy of Google’s search results by updating the underlying architecture of the search engine. This update allowed Google to process and index new content much faster, which meant that new content was indexed and made available in the search results much more quickly. Caffeine also aimed to improve the way that Google handled fresh and relevant content, which helped to provide more up-to-date and relevant search results. Overall, Caffeine helped to improve the overall quality of the Google search results and provide a better user experience.

Panda Update (February 23, 2011)

Google Panda, also known as “Farmer”, was a change to Google’s search algorithm that was first released on February 23, 2011. The main goal of Panda was to lower the rankings of “low-quality sites” or “thin sites,” and return higher-quality sites near the top of the search results. Panda aimed to target sites that had a lot of low-quality or duplicate content, as well as sites that were deemed to be “content farms” that produced large amounts of low-quality content in order to generate ad revenue. The update also targeted sites with high ad-to-content ratios, and sites that had a poor user experience. Panda was a significant update that affected a large number of search results and had a big impact on many websites, particularly those that relied heavily on low-quality content to generate traffic.

Panda Update (#24) (January 22, 2013)

Google Panda Update #24 was a change to the Panda algorithm that was released on January 22, 2013. This update was a data refresh, which means it updated the signals that Panda uses to identify low-quality sites and incorporated new data into the algorithm. This update was intended to improve the effectiveness of Panda in identifying and penalizing sites with low-quality content, and in promoting sites with high-quality content. Some of the specific issues that Google targeted with this update included sites with thin or shallow content, sites with a high proportion of low-quality pages, and sites with little original content. This update had a significant impact on many sites and many webmasters reported significant changes in their search engine rankings and traffic as a result of this update.

Panda Update 3.1 (November 18, 2011)

Google Panda Update 3.1 was a change to the Panda algorithm that was released on November 18, 2011. This update was a data refresh, which means it updated the signals that Panda uses to identify low-quality sites and incorporated new data into the algorithm. This update was intended to improve the effectiveness of Panda in identifying and penalizing sites with low-quality content, and in promoting sites with high-quality content. Some of the specific issues that Google targeted with this update included sites with thin or shallow content, sites with a high proportion of low-quality pages, and sites with little original content. This update had a significant impact on many sites and many webmasters reported significant changes in their search engine rankings and traffic as a result of this update. It was considered a minor update, not as impactful as others.

Panda Update 3.0 (October 19, 2011)

Google Panda Update 3.0 was a change to the Panda algorithm that was released on October 19, 2011. This update was more significant than the previous updates, and it aimed to target low-quality sites more effectively. Google stated that this update affected around 12% of search queries, which was a much higher percentage than the previous updates. This update included more stringent criteria for identifying low-quality sites, such as sites with a high proportion of low-quality pages, and sites with little original content. It also targeted sites with thin or shallow content, which provided little value to users. This update had a significant impact on many sites and many webmasters reported significant changes in their search engine rankings and traffic as a result of this update.

Panda Update 2.5 (September 28, 2011)

Google Panda Update 2.5 was a change to the Panda algorithm that was released on September 28, 2011. This update was a data refresh, which means it updated the signals that Panda uses to identify low-quality sites and incorporated new data into the algorithm. This update was intended to improve the effectiveness of Panda in identifying and penalizing sites with low-quality content, and in promoting sites with high-quality content. Some of the specific issues that Google targeted with this update included sites with thin or shallow content, sites with a high proportion of low-quality pages, and sites with little original content. This update had a significant impact on many sites and many webmasters reported significant changes in their search engine rankings and traffic as a result of this update. This update was not as impactful as the previous ones, it was considered a minor update.

Panda Update 2.4 (August 12, 2011)

Google Panda Update 2.4 was a change to the Panda algorithm that was released on August 12, 2011. This update was a data refresh, which means it updated the signals that Panda uses to identify low-quality sites and incorporated new data into the algorithm. This update was intended to improve the effectiveness of Panda in identifying and penalizing sites with low-quality content, and in promoting sites with high-quality content. Some of the specific issues that Google targeted with this update included sites with thin or shallow content, sites with a high proportion of low-quality pages, and sites with little original content. This update had an impact on many sites, but it was not as significant as previous updates. Some webmasters reported changes in their search engine rankings and traffic as a result of this update.

Panda Update 2.3 (July 23, 2011)

Google Panda Update 2.3 was a change to the Panda algorithm that was released on July 23, 2011. This update was a data refresh, which means it updated the signals that Panda uses to identify low-quality sites and incorporated new data into the algorithm. This update was intended to improve the effectiveness of Panda in identifying and penalizing sites with low-quality content, and in promoting sites with high-quality content. Some of the specific issues that Google targeted with this update included sites with thin or shallow content, sites with a high proportion of low-quality pages, and sites with little original content. This update had an impact on many sites, but it was not as significant as previous updates. Some webmasters reported changes in their search engine rankings and traffic as a result of this update.

Panda Update 2.2 (June 21, 2011)

Google Panda Update 2.2 was a change to the Panda algorithm that was released on June 21, 2011. This update was a data refresh, which means it updated the signals that Panda uses to identify low-quality sites and incorporated new data into the algorithm. This update was intended to improve the effectiveness of Panda in identifying and penalizing sites with low-quality content, and in promoting sites with high-quality content. Some of the specific issues that Google targeted with this update included sites with thin or shallow content, sites with a high proportion of low-quality pages, and sites with little original content. This update had an impact on many sites, but it was not as significant as previous updates. Some webmasters reported changes in their search engine rankings and traffic as a result of this update.

Panda Update 2.1 (May 9, 2011)

Google Panda Update 2.1 was a change to the Panda algorithm that was released on May 9, 2011. This update was a data refresh, which means it updated the signals that Panda uses to identify low-quality sites and incorporated new data into the algorithm. This update was intended to improve the effectiveness of Panda in identifying and penalizing sites with low-quality content, and in promoting sites with high-quality content. Some of the specific issues that Google targeted with this update included sites with thin or shallow content, sites with a high proportion of low-quality pages, and sites with little original content. This update had an impact on many sites, but it was not as significant as previous updates. Some webmasters reported changes in their search engine rankings and traffic as a result of this update.

Panda Update 2.0 (April 11, 2011)

Google Panda Update 2.0 was a major change to the Panda algorithm that was released on April 11, 2011. This update was intended to improve the effectiveness of Panda in identifying and penalizing sites with low-quality content, and in promoting sites with high-quality content. Some of the specific issues that Google targeted with this update included sites with thin or shallow content, sites with a high proportion of low-quality pages, and sites with little original content. This update had a significant impact on many sites and many webmasters reported significant changes in their search engine rankings and traffic as a result of this update. This update was considered one of the most important updates of the Panda algorithm. Google expanded the update to all English-language searches and included additional languages later on. It was also seen as a way to penalize content farms which had websites that were created to game the search engine ranking system by having a large number of low-quality pages with little original content.

Panda Update (#23) (December 21, 2012)

Google Panda Update (#23) was a change to the Panda algorithm that was released on December 21, 2012. The update was a data refresh, which means it updated the signals that Panda uses to identify low-quality sites and incorporated new data into the algorithm. This update was intended to improve the effectiveness of Panda in identifying and penalizing sites with low-quality content, and in promoting sites with high-quality content. Some of the specific issues that Google targeted with this update included sites with thin or shallow content, sites with a high proportion of low-quality pages, and sites with little original content. This update had an impact on many sites, but it was not as significant as previous updates. Some webmasters reported changes in their search engine rankings and traffic as a result of this update.

Freshness Algorithm (November 3, 2011)

The Freshness Algorithm is an update to Google’s search algorithm that was first released on November 3, 2011. The update was intended to improve the relevance of search results for queries that are time-sensitive, such as news articles, events, and blog posts. This algorithm is used to increase the visibility of fresh content in Google’s search results.

The Freshness Algorithm uses a number of signals to determine the relevance of a piece of content, including the date it was published, the frequency of updates, and the number of social signals pointing to the content. It also takes into account the recency of the content, meaning that more recent content is more likely to be considered relevant.

This algorithm also allows Google to identify the most recent and relevant information on a topic, and to quickly surface the latest news stories, blog posts, and other time-sensitive content. This algorithm also helped Google to better understand the user’s intent and to provide more relevant results to the user.

Overall, this update aimed to make the search experience more relevant, up-to-date and useful for users, by making sure that fresh and timely information is prominently displayed in the search results.

Page Layout Algorithm

The Page Layout Algorithm is an update to Google’s search algorithm that was first released in January 2012. The update was intended to penalize sites that have a lot of ads above the fold, which is the area of a webpage that is visible without scrolling. The update targeted sites that used a layout where the majority of the above-the-fold area was taken up by ads, making it difficult for users to find the actual content on the page.

Google’s main focus on this update is to improve the user experience by penalizing sites that make it hard for users to find the content they are looking for. Google wants to make sure that users are able to quickly and easily find the content they are looking for when they visit a site. This algorithm is used to promote sites that have a good balance of ads and content and make it easy for users to find the content they are looking for.

This update affected a small percentage of search queries, but it had a significant impact on those sites that were affected by the penalty. Websites that have a lot of ads above the fold, saw a decrease in their search engine rankings.

Overall, this update was a part of Google’s effort to improve the user experience by providing more relevant and useful search results, while also penalizing sites that use manipulative tactics to improve their search engine rankings.

Venice Update

The Venice Update was a Google algorithm update that was released in February 2012. The update was designed to improve the way that Google handles local search results by providing more relevant and accurate results for users searching for local businesses or services.

The update was focused on tying a user’s location to their search query, making sure that the results shown are relevant to their location. This means that if a user is searching for a local business or service, the results will show businesses or services that are closest to them.

The Venice update also incorporated Google’s Place Search, which is a feature that allows users to search for businesses or services within a specific location. This feature allows users to filter their search results by location, category, and other criteria.

The Venice update was important for local businesses as it helped them to improve their visibility in local search results. It helped to ensure that when someone is searching for a local business or service, the results that are returned are relevant to their location.

Overall, the Venice update was one of the many updates that Google has made to improve its algorithm and provide more relevant search results to users. It helped to improve the user experience by providing more accurate and useful search results for local searches.

Penguin (2012)

The Penguin algorithm update was a Google algorithm update that was first released in April 2012. The update targeted websites that were using manipulative tactics to improve their search engine rankings, such as buying links, participating in link schemes, or using exact match anchor text.

Penguin was designed to identify and penalize websites that were using these tactics, and it was updated periodically to catch new violators. The update primarily targeted spammy and low-quality links pointing to a site. Websites that relied heavily on these manipulative tactics saw a significant drop in their search engine rankings.

The Penguin algorithm update was a major step forward in Google’s efforts to combat spam and provide more relevant search results to users. The update helped to make the search results more authentic and trustworthy by penalizing sites that used manipulative tactics to improve their search engine rankings.

Penguin algorithm updates were initially done as a “site-wide” penalty, meaning that if a site was penalized, all of its pages would be affected. But later on, Google started rolling out “partial penalties” which means that only the specific pages with manipulative links would be penalized.

Overall, the Penguin algorithm update was an important step in Google’s efforts to improve the quality of its search results by penalizing sites that used manipulative tactics to improve their search engine rankings. And it helped to make the search results more authentic and trustworthy for users.

Penguin Update 2.1 (October 4, 2013)

Penguin Update 2.1 was a version of the Penguin algorithm update that was released by Google on October 4, 2013. This update was a minor refresh of the previous version of the algorithm and was designed to further improve the quality of the search results by targeting websites that were still using manipulative tactics to improve their search engine rankings.

The Penguin 2.1 update was notable for being the first update to the Penguin algorithm that was released after the initial launch of the algorithm in April 2012. The update was designed to catch new violators and also to refresh the data that the algorithm used to identify manipulative tactics.

It was also the first Penguin update that was released as part of Google’s regular algorithm update cycle, which means that it was rolled out gradually over a period of several weeks.

This update did not cause a large scale impact as the changes were minor and targeted only the sites using manipulative tactics to improve their ranking.

Overall, the Penguin Update 2.1 was an important step in Google’s efforts to improve the quality of its search results by continuing to target websites that were using manipulative tactics to improve their search engine rankings. It helped to make the search results even more authentic and trustworthy for users, and further protected the search engine from being manipulated by spammers.

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