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In the 2020s, the rise of generative AI tools such as [[ChatGPT]], Claude, Perplexity, and Gemini gave rise to a new approach called [[Generative 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 rethink content formats, authority signals, and how structured data is presented to make content more "promptable".<ref>https://searchengineland.com/what-is-generative-engine-optimization-geo-444418</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>
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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