BERT is a natural language processing (NLP) model developed by Google that significantly advanced the ability of machines to understand human language. Unlike earlier models, BERT considers the full context of a word by analyzing the words that come before and after it, allowing for more accurate interpretation of meaning and intent.
In digital marketing, BERT plays a key role in helping Google better interpret increasingly complex, conversational, or poorly worded search queries. As a result, users receive more accurate and relevant results, while marketers focus on creating content that aligns with natural language and real user intent rather than relying solely on keywords.
