SEO
BERT
Quick definition
BERT (Bidirectional Encoder Representations from Transformers) is a Google neural-language model used to better understand the context of words in a query.
Launched in 2019, BERT significantly improved Google's ability to interpret prepositions, modifiers, and conversational phrasing — affecting roughly 10% of queries at launch.
Why BERT matters
BERT pushed SEO further toward natural writing. Pages that read like they were written for a human (and answer the actual question) win more often than keyword-engineered pages.
How BERT works in practice
Write content that resolves the specific question, including the qualifiers and nuances in user queries. Avoid awkward keyword insertion that distorts natural language.