How Google uses AI in search
In 2022, we learned more about how Google was using AI in search – for understanding language for query, content and ranking purposes.
The overview covered in what ways AI and machine learning helped Google Search perform its daily tasks. Specifically with:
- RankBrain
- Neural matching
- BERT
- MUM
In short, RankBrain, neural matching and BERT were all used in Google’s ranking system across many, if not most, queries and look at understanding the language of both the query and content it was ranking. However, MUM was not used for ranking purposes.
Read all about it in How Google uses artificial intelligence In Google Search.
Also on this day
2021: Starting on April 6, Google would begin enforcing price accuracy between Merchant Center feeds and checkout.
2020: Reverification may have been necessary.
2020: Amazon’s quarterly ad revenues surpassed $4 billion for the first time in Q4.
2020: In this installment of Barry Schwartz’s vlog series, he also chatted with Van Iderstyne about content creation in SEO, capitalizing on misalignments in SEO and more.
2018: In addition to the rise in search activity, watch-time of sports highlight videos skyrocketed 80% between 2016 and 2017.
2017: It appeared to impact those using more aggressive link building.
2017: Google began letting searchers filter down their search results and/or expand their search results using a carousel-style slider at the top of the desktop and mobile search results.
2017: Snickers and...
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