BERT in SEO refers to the use or impact of Bidirectional Encoder Representations from Transformers in search systems that interpret language in context. By reading surrounding words on both sides of a term, BERT helps search engines better understand conversational queries, ambiguous wording, and user intent. SEO practices affected by BERT emphasize clear, context-rich content rather than isolated keyword matching.