BERT in Search refers to the use of Bidirectional Encoder Representations from Transformers or related transformer language models to improve search query and content understanding.
The concept should be distinguished from BERT as a model architecture. In search, BERT-style understanding helps interpret context, wording, and intent rather than serving as an SEO trick by itself.