{"id":9435,"date":"2022-02-03T17:19:38","date_gmt":"2022-02-03T17:19:38","guid":{"rendered":"https:\/\/mailinvest.blog\/index.php\/2022\/02\/03\/how-google-uses-artificial-intelligence-in-google-search\/"},"modified":"2022-02-03T17:19:38","modified_gmt":"2022-02-03T17:19:38","slug":"how-google-uses-artificial-intelligence-in-google-search","status":"publish","type":"post","link":"https:\/\/mailinvest.blog\/index.php\/2022\/02\/03\/how-google-uses-artificial-intelligence-in-google-search\/","title":{"rendered":"How Google uses artificial intelligence In Google Search"},"content":{"rendered":"

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As Google continues to leverage more artificial intelligence and machine learning in Google Search, one may wonder in what ways does AI and machine learning help Google Search perform its daily tasks. Since 2015, when Google introduced its first AI into search named RankBrain<\/a>, Google has continued to deploy AI systems to better understand language and thus improve the search results Google presents to its searches.<\/p>\n

Several months ago we sent Google a number of questions around how Google uses its AI in search, including RankBrain<\/a>, neural matching<\/a>, BERT<\/a> and Google\u2019s latest AI breakthrough \u2013 MUM<\/a>. We\u2019ve come up with more of an understanding of when Google uses AI, which AI does what in Google Search, how these various AI algorithms may work together, how they have changed over the years and what, if anything, search marketers need to know when it comes to how Google uses AI in search.<\/p>\n

We spoke with Danny Sullivan, the Public Liaison for Google Search, to help with the answers to many of these questions. In short, RankBrain, neural matching and BERT are used in Google\u2019s ranking system across many, if not most, queries and look at understanding the language of both the query and content it is ranking. However, MUM is not currently used for ranking purposes, it is currently only used for COVID vaccine naming<\/a> and powers the related topics in videos results.<\/p>\n

It starts by writing content for humans<\/h2>\n

You hear it all the time from Google representatives and from many SEOs: write content for humans. In the older days of SEO, when the algorithms were maybe simpler, you would have many SEOs who would craft content for each and every search engine (back then there were dozens of different search engines). Now, there is primarily Google, with a little bit of Bing and some ruffling from DuckDuckGo \u2013 but the algorithms are much more complex and with machine learning and AI, the algorithms understand language more like a human would understand language.<\/p>\n

So the advice Google has given is write for humans, and that you can\u2019t optimize your site for BERT<\/a> or any AI. If you write content that humans understand, then the algorithms and AI search engines use will also understand it. In short, this article is not aimed at trying to give you SEO tips on how to optimize your sites for any specific AI, but rather to communicate how Google uses AI in Google Search.<\/p>\n

Overview of AI used in Google Search<\/h2>\n

RankBrain. <\/strong>It starts with RankBrain, Google\u2019s first attempt at using AI in search dates back to 2015. Google told us RankBrain helps Google understand how words are related to concepts and can take a broad query and better define how that query relates to real-world concepts. While it launched in 2015 and was used in 15% of queries, Google said it is now, in 2022, widely used in many queries and in all languages and regions. RankBrain does specifically help Google rank search results and is part of the ranking algorithm.<\/p>\n