Search engine optimization: Difference between revisions

Revision as of 01:56, 13 August 2025

Revision as of 08:26, 15 August 2025

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In 2007, Google announced a campaign against paid links that transfer PageRank.<ref>{{cite web|url=https://www.searchenginejournal.com/8-things-we-learned-about-google-pagerank/5897/|title=8 Things We Learned About Google PageRank|date=October 25, 2007|publisher=www.searchenginejournal.com|access-date=August 17, 2009|archive-date=August 19, 2009|archive-url=https://web.archive.org/web/20090819080745/http://www.searchenginejournal.com/8-things-we-learned-about-google-pagerank/5897/|url-status=live}}</ref> On June 15, 2009, Google disclosed that they had taken measures to mitigate the effects of PageRank sculpting by use of the [[nofollow]] attribute on links. [[Matt Cutts]], a well-known software engineer at Google, announced that Google Bot would no longer treat any no follow links, in the same way, to prevent SEO service providers from using nofollow for PageRank sculpting.<ref>{{cite web|url=https://www.mattcutts.com/blog/pagerank-sculpting/|title=PageRank sculpting|publisher=Matt Cutts|access-date=January 12, 2010|archive-date=January 6, 2010|archive-url=https://web.archive.org/web/20100106120723/http://www.mattcutts.com/blog/pagerank-sculpting/|url-status=live}}</ref> As a result of this change, the usage of nofollow led to evaporation of PageRank. In order to avoid the above, SEO engineers developed alternative techniques that replace nofollowed tags with obfuscated [[JavaScript]] and thus permit PageRank sculpting. Additionally, several solutions have been suggested that include the usage of [[HTML element#Frames|iframe]]s, [[Flash animation|Flash]], and JavaScript.<ref>{{cite web |url=http://searchengineland.com/google-loses-backwards-compatibility-on-paid-link-blocking-pagerank-sculpting-20408 |title=Google Loses "Backwards Compatibility" On Paid Link Blocking & PageRank Sculpting |date=June 3, 2009 |publisher=searchengineland.com |access-date=August 17, 2009 |archive-date=August 14, 2009 |archive-url=https://web.archive.org/web/20090814212229/http://searchengineland.com/google-loses-backwards-compatibility-on-paid-link-blocking-pagerank-sculpting-20408/ |url-status=live }}</ref>

In December 2009, Google announced it would be using the web search history of all its users in order to populate search results.<ref>{{cite web|url=https://googleblog.blogspot.com/2009/12/personalized-search-for-everyone.html|title=Personalized Search for everyone|access-date=December 14, 2009|archive-date=December 8, 2009|archive-url=https://web.archive.org/web/20091208140917/http://googleblog.blogspot.com/2009/12/personalized-search-for-everyone.html|url-status=live}}</ref> On June 8, 2010 a new web indexing system called [[Google Caffeine]] was announced. Designed to allow users to find news results, forum posts, and other content much sooner after publishing than before, Google Caffeine was a change to the way Google updated its index in order to make things show up quicker on Google than before. According to Carrie Grimes, the software engineer who announced Caffeine for Google, "Caffeine provides 50 percent fresher results for web searches than our last index..."<ref>{{cite web |url=httphttps://googleblog.blogspot.com/2010/06/our-new-search-index-caffeine.html |title=Our new search index: Caffeine |publisher=Google: Official Blog |access-date=May 10, 2014 |archive-date=June 18, 2010 |archive-url=https://web.archive.org/web/20100618160021/http://googleblog.blogspot.com/2010/06/our-new-search-index-caffeine.html |url-status=live }}</ref> [[Google Instant]], real-time-search, was introduced in late 2010 in an attempt to make search results more timely and relevant. Historically site administrators have spent months or even years optimizing a website to increase search rankings. With the growth in popularity of social media sites and blogs, the leading engines made changes to their algorithms to allow fresh content to rank quickly within the search results.<ref>{{cite web |title=Relevance Meets Real-Time Web |publisher=[[Google Blog]] |url=httphttps://googleblog.blogspot.com/2009/12/relevance-meets-real-time-web.html |access-date=January 4, 2010 |archive-date=April 7, 2019 |archive-url=https://web.archive.org/web/20190407221454/http://googleblog.blogspot.com/2009/12/relevance-meets-real-time-web.html |url-status=live }}</ref>

Google has implemented numerous algorithm updates to improve search quality, including Panda (2011) for content quality, Penguin (2012) for link spam, Hummingbird (2013) for natural language processing, and BERT (2019) for query understanding. These updates reflect the ongoing evolution of search technology and Google's efforts to combat spam while improving user experience.