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'''Search engine optimization''' ('''SEO''') is the process of improving the quality and quantity of [[Web traffic|website traffic]] to a [[website]] or a [[web page]] from [[web search engine|search engine]]s.<ref>{{Cite web|url=https://www.webopedia.com/TERM/S/SEO.html|title=SEO – search engine optimization|website=Webopedia|date=December 19, 2001|access-date=May 9, 2019|archive-date=May 9, 2019|archive-url=https://web.archive.org/web/20190509033028/https://www.webopedia.com/TERM/S/SEO.html|url-status=live}}</ref><ref>{{Cite journal |last1=Giomelakis |first1=Dimitrios |last2=Veglis |first2=Andreas |date=2016-04-02 |title=Investigating Search Engine Optimization Factors in Media Websites: The case of Greece |url=http://www.tandfonline.com/doi/full/10.1080/21670811.2015.1046992 |journal=Digital Journalism |language=en |volume=4 |issue=3 |pages=379–400 |doi=10.1080/21670811.2015.1046992 |s2cid=166902013 |issn=2167-0811 |access-date=October 30, 2022 |archive-date=October 30, 2022 |archive-url=https://web.archive.org/web/20221030054324/https://www.tandfonline.com/doi/full/10.1080/21670811.2015.1046992 |url-status=live |url-access=subscription }}</ref> SEO targets unpaid search traffic (usually referred to as "[[Organic search|organic]]" results) rather than direct traffic, referral traffic, [[social media]] traffic, or [[Online advertising|paid traffic]].
As an [[Internet marketing]] strategy, SEO considers how search engines work, the
== History ==
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In 2015, it was reported that [[Google]] was developing and promoting mobile search as a key feature within future products. In response, many brands began to take a different approach to their Internet marketing strategies.<ref>{{Cite web |url=https://www.startupgrind.com/blog/mobile-is-the-internet-for-consumers/ |title="By the Data: For Consumers, Mobile is the Internet" ''Google for Entrepreneurs Startup Grind'' September 20, 2015. |access-date=January 8, 2016 |archive-date=January 6, 2016 |archive-url=https://web.archive.org/web/20160106040341/https://www.startupgrind.com/blog/mobile-is-the-internet-for-consumers/ |url-status=live }}</ref>
In the 2020s, the rise of generative AI tools such as [[ChatGPT]], Claude, Perplexity, and Gemini gave rise to discussion around a concept variously referred to as generative engine optimization, answer engine optimization or [[artificial intelligence optimization]]. This approach focuses on optimizing content for inclusion in AI-generated answers provided by [[large language models]] (LLMs). This shift has led digital marketers to discuss content formats, authority signals, and how structured data is presented to make content more "promptable".<ref>{{Cite web | title=What is generative engine optimization (GEO)? | url=https://searchengineland.com/what-is-generative-engine-optimization-geo-444418 | archive-url=https://web.archive.org/web/20240729150835/https://searchengineland.com/what-is-generative-engine-optimization-geo-444418 | access-date=2025-07-30 | archive-date=2024-07-29}}</ref> It has also been argued that each of these tactics should be considered as subsets of "search experience optimization," described by [[Ahrefs]] as "optimizing a brand’s presence for non-linear search journeys over multiple platforms, not just Google."<ref>{{cite web |last1=Gavoyannis |first1=Despina |title=SXO Explained: How to Adapt to the New Era of Search |url=https://ahrefs.com/blog/search-experience-optimization/ |website=Ahrefs}}</ref>
===Relationship with Google===▼
In 1998, two graduate students at [[Stanford University]], [[Larry Page]] and [[Sergey Brin]], developed "Backrub", a search engine that relied on a mathematical algorithm to rate the prominence of web pages. The number calculated by the algorithm, [[PageRank]], is a function of the quantity and strength of [[inbound link]]s.<ref name="lgscalehyptxt">{{cite web|author1=Brin, Sergey|author2=Page, Larry|name-list-style=amp|url=http://www-db.stanford.edu/~backrub/google.html|title=The Anatomy of a Large-Scale Hypertextual Web Search Engine|publisher=Proceedings of the seventh international conference on World Wide Web|year=1998|pages=107–117|access-date=May 8, 2007|archive-date=October 10, 2006|archive-url=https://web.archive.org/web/20061010084452/http://www-db.stanford.edu/~backrub/google.html|url-status=live}}</ref> PageRank estimates the likelihood that a given page will be reached by a web user who randomly surfs the web and follows links from one page to another. In effect, this means that some links are stronger than others, as a higher PageRank page is more likely to be reached by the random web surfer.
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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=
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.
On May 20, 2025, Google announced that AI Mode would be released to all US users. AI Mode uses what Google calls a "query fan-out technique" which breaks down the search query into multiple sub-topics which generates additional search queries for the user.<ref>{{cite web|title=AI in Search: Going beyond information to intelligence|url=https://blog.google/products/search/google-search-ai-mode-update/|website=blog.google.com|date=May 20, 2025|access-date=23 June 2025
== Methods ==
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== As marketing strategy ==
SEO
SEO may generate an adequate [[return on investment]]. However, search engines are not paid for organic search traffic, their algorithms change, and there are no guarantees of continued referrals. Due to this lack of guarantee and uncertainty, a business that relies heavily on search engine traffic can suffer major losses if the search engines stop sending visitors.<ref>{{cite magazine|magazine=[[Forbes]] |url=https://www.forbes.com/technology/2007/04/29/sanar-google-skyfacet-tech-cx_ag_0430googhell.html?partner=rss |title=Condemned To Google Hell |author=Andy Greenberg |date=April 30, 2007 |access-date=May 9, 2007 |archive-url=https://web.archive.org/web/20070502074629/http://www.forbes.com/technology/2007/04/29/sanar-google-skyfacet-tech-cx_ag_0430googhell.html?partner=rss |archive-date=May 2, 2007 |df=mdy-all }}</ref> Search engines can change their algorithms, impacting a website's search engine ranking, possibly resulting in a serious loss of traffic. According to Google's CEO, [[Eric Schmidt]], in 2010, Google made over 500 algorithm changes – almost 1.5 per day.<ref>{{cite web|url=http://searchengineland.com/13000-precision-evaluations-schmidts-testimony-reveals-how-google-tests-algorithm-changes-93740|title=Schmidt's testimony reveals how Google tests algorithm changes|author=Matt McGee|date=September 21, 2011|access-date=January 4, 2012|archive-date=January 17, 2012|archive-url=https://web.archive.org/web/20120117152309/http://searchengineland.com/13000-precision-evaluations-schmidts-testimony-reveals-how-google-tests-algorithm-changes-93740|url-status=live}}</ref>
== International markets and SEO ==
▲In 2003, [[Danny Sullivan (technologist)|Danny Sullivan]] stated that [[Google]] represented about 75% of all searches.<ref>{{cite news|url=https://www.usatoday.com/tech/news/2003-08-25-google_x.htm|title=The search engine that could|newspaper=USA Today|access-date=May 15, 2007|date=August 26, 2003|first1=Jefferson|last1=Graham|archive-date=May 17, 2007|archive-url=https://web.archive.org/web/20070517051318/http://www.usatoday.com/tech/news/2003-08-25-google_x.htm|url-status=live}}</ref> In markets outside the United States, Google's share is often larger, and data showed Google was the dominant search engine worldwide as of 2007.<ref>{{cite web | url=http://searchenginewatch.com/article/2066064/Stats-Show-Google-Dominates-the-International-Search-Landscape | author=Greg Jarboe | title=Stats Show Google Dominates the International Search Landscape | publisher=[[Search Engine Watch]] | date=February 22, 2007 | access-date=May 15, 2007 | archive-date=May 23, 2011 | archive-url=https://web.archive.org/web/20110523154641/http://searchenginewatch.com/article/2066064/Stats-Show-Google-Dominates-the-International-Search-Landscape | url-status=live }}</ref> As of 2006, Google had an 85–90% market share in Germany.<ref name="grehan-1">{{cite web|url=http://www.clickz.com/clickz/column/1702507/search-engine-optimizing-europe|title=Search Engine Optimizing for Europe|author=Mike Grehan|date=April 3, 2006|access-date=May 14, 2007|publisher=Click|archive-date=November 6, 2010|archive-url=https://web.archive.org/web/20101106014727/http://www.clickz.com/clickz/column/1702507/search-engine-optimizing-europe|url-status=live}}</ref> While there were hundreds of SEO firms in the US at that time, there were only about five in Germany.<ref name="grehan-1" /> As of March 2024, Google still had a significant market share of 89.85% in Germany.<ref>{{Cite web |title=Germany search engine market share 2024 |url=https://www.statista.com/statistics/445974/search-engines-market-share-of-desktop-and-mobile-search-germany/#statisticContainer |access-date=2025-01-06 |website=Statista |language=en}}</ref> As of June 2008, the market share of Google in the UK was close to 90% according to [[Hitwise]].<ref>{{cite news | url=https://www.theguardian.com/technology/blog/2008/jun/10/googleukclosesinon90mark | author=Jack Schofield | title=Google UK closes in on 90% market share | newspaper=[[The Guardian|Guardian]] | date=June 10, 2008 | access-date=June 10, 2008 | ___location=London | archive-date=December 17, 2013 | archive-url=https://web.archive.org/web/20131217023045/http://www.theguardian.com/technology/blog/2008/jun/10/googleukclosesinon90mark | url-status=live }}</ref>{{Obsolete source|date=December 2024}} As of March 2024, Google's market share in the UK was 93.61%.<ref>{{Cite web |title=UK search engines market share 2024 |url=https://www.statista.com/statistics/280269/market-share-held-by-search-engines-in-the-united-kingdom/ |access-date=2025-01-06 |website=Statista |language=en}}</ref>
Successful search engine optimization (SEO) for international markets requires more than just translating web pages. It may also involve registering a ___domain name with a [[Country code top-level ___domain|country-code top-level ___domain]] (ccTLD) or a relevant [[top-level ___domain]] (TLD) for the target market, choosing web hosting with a local IP address or server, and using a [[Content delivery network|Content Delivery Network]] (CDN) to improve website speed and performance globally. It is also important to understand the local culture so that the content feels relevant to the audience. This includes conducting keyword research for each market, using hreflang tags to target the right languages, and building local backlinks. However, the core SEO principles—such as creating high-quality content, improving user experience, and building links—remain the same, regardless of language or region.<ref name="grehan-1" />
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* Russia: [[Yandex]] is the leading search engine in Russia. As of December 2023, it accounted for at least 63.8% of the market share.<ref>{{Cite web |title=Most popular search engines in Russia 2023 |url=https://www.statista.com/statistics/1094920/leading-search-engines-by-visits-share-russia/ |access-date=2025-01-06 |website=Statista |language=en}}</ref>
===
By the early 2000s, businesses recognized that the web and search engines could help them reach global audiences. As a result, the need for multilingual SEO emerged.<ref>{{Cite journal |last1=Arora |first1=Sanjog |last2=Hemrajani |first2=Naveen |date=September 2023 |title=A REVIEW ON: MULTILINGUAL SEARCH TECHNIQUE |url=https://www.researchgate.net/publication/382274152 |journal=International Journal of Applied Engineering & Technology |volume=5 |issue=3 |pages=760–770 |via=ResearchGate}}</ref> In the early years of international SEO development, simple translation was seen as sufficient. However, over time, it became clear that localization and transcreation—adapting content to local language, culture, and emotional resonance—were
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