Google Ads has updated the way queries are matched to keywords. The search engine will now be preferring phrases and broad match keywords that are identical to queries. Google has updated the keyword matching process for queries with no identical keyword match.

Moreover, the company has unveiled that it will now use the capabilities of BERT’s language to understand the intent of a query and match them to keywords. BERT is a neural network-based technique used for natural language processing pre-training that the search engine giant uses to better discern the context of words in search queries. BERT technology is very useful when it comes to broad match keywords.

BERT for Keyword Matching

Earlier this year, Google had made an announcement that an exact match keyword (identical to the query string) would be given priority whenever that keyword is eligible to match with a query. The purpose of this update was to reduce account complexity. Now, the search engine has announced the same for phrase and broad match.