Google BERT (Bidirectional Encoder Representations from Transformers) is a natural language processing model Google incorporated into its search algorithm in 2019, significantly improving its ability to understand the context and nuance of words within a search query, especially prepositions and conversational phrasing.
BERT was particularly impactful for longer, more conversational queries, where the precise meaning depends heavily on how words relate to each other — something older keyword-matching systems often struggled to interpret correctly.
For SEO practitioners, BERT reinforced the importance of writing clear, naturally structured content that genuinely answers a query’s full context, rather than optimizing narrowly around isolated keyword phrases.
Clear, contextually complete content remains central to our SEO Content Strategy service.