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In October 2019, Google announced they would start applying [[BERT (language model)|BERT]] models for English language search queries in the US. Bidirectional Encoder Representations from Transformers (BERT) was another attempt by Google to improve their natural language processing, but this time in order to better understand the search queries of their users.<ref>{{Cite web|title=Understanding searches better than ever before|url=https://blog.google/products/search/search-language-understanding-bert/|date=2019-10-25|website=Google|language=en|access-date=2020-05-12|archive-date=January 27, 2021|archive-url=https://web.archive.org/web/20210127042834/https://www.blog.google/products/search/search-language-understanding-bert/|url-status=live}}</ref> In terms of search engine optimization, BERT intended to connect users more easily to relevant content and increase the quality of traffic coming to websites that are ranking in the [[Search engine results page|Search Engine Results Page]].
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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