What BERT means for SEO — Google's biggest update in five years

Last month Google rolled out an update called BERT. Google itself described it as the biggest change to search in five years, and said it would affect roughly one in ten queries. So it is worth understanding what actually changed and what it means for the way you write content.

What BERT does

BERT is a natural-language model — meaning Google is better at understanding the meaning of a sentence in context. Previously, Google leaned heavily on individual keywords and could miss the difference between, for example, "can you get medicine for someone pharmacy" and "can you pick up medicine for someone at a pharmacy". A small word like "for" can flip the meaning of a search.

BERT lets Google read each query in context, paying attention to prepositions and word order in a way it could not before. It also helps Google match a longer, more natural-language question to a passage of content that genuinely answers it, even if the wording is different.

What this changes for content

You cannot "optimise for BERT" in the traditional sense — there is no setting to toggle, no keyword density to hit. What BERT rewards is content that reads naturally and answers a question clearly. The era of stuffing keyword variants is over (and has been for a while). Writing in plain English, addressing the question directly, and providing genuine answers is what works.

What this changes for keyword research

Long-tail, conversational searches — the kind you might type or say in full sentences — are where BERT has the biggest impact. If you have been writing content that targets specific keyword phrases without much regard for whether the sentence makes sense, BERT is bad news. If you have been writing for people, BERT is largely good news: pages that genuinely answer the question now have a better chance of being matched to it.

In short: keep writing for humans, not for keyword tools. That advice has not changed, but BERT has just given it more teeth.