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.
Need help applying this to your SaaS?
Get a free strategy call with our team — no pitch, just a clear next step.
Related terms
RankBrain
RankBrain is a machine-learning algorithm Google uses to better understand the meaning behind queries — especially novel or ambiguous ones.
Search Intent
Search intent is the underlying goal a user has when typing a query — informational, navigational, commercial, or transactional.
Google Algorithm Update
A Google algorithm update is a change Google makes to its ranking systems — sometimes minor and continuous, sometimes named 'core updates' rolled out periodically.