Google’s BERT Update: What Small Business Owners Should Know
On October 24, 2019, Google announced what it called the biggest leap forward in search in five years: BERT — short for Bidirectional Encoder Representations from Transformers. BERT changes how Google understands the meaning of words in context, especially for longer conversational queries. Here is what small business owners actually need to know, stripped of the hype.
What is BERT in plain English?
BERT is a natural language processing model Google now uses to better understand the context and intent of search queries. Where older algorithms looked at keywords in isolation, BERT looks at the relationship between every word in a query — including small connecting words like “to,” “for,” and “from” that change meaning dramatically.
A direct answer: BERT is Google’s new natural language model that interprets the context of words in a search query. It pays attention to small connecting words that older algorithms ignored, leading to better matches for conversational and long-tail queries. BERT does not change how websites are ranked — it changes how Google understands what searchers are asking.
What does BERT actually change?
According to Google’s own announcement, BERT affects roughly 10% of all English queries — primarily longer, conversational ones. Short keyword queries are mostly unaffected.
Google’s example: the query “2019 brazil traveler to usa need a visa” used to return results about US citizens traveling to Brazil. With BERT, Google now correctly understands the direction of travel and returns results about Brazilian citizens needing a visa to travel to the US.
The “to” was the key. Older algorithms treated it as a stopword and discarded it. BERT preserves the directional meaning.
A direct answer: BERT affects roughly 10% of English-language search queries, focusing on longer conversational ones where small connecting words change meaning. Short keyword queries are largely unaffected. The change is in query understanding, not website ranking.
Will BERT change my rankings?
Probably not in any dramatic way, and not in any way you can directly optimize for. BERT is a query interpretation upgrade — it does not assign new ranking signals to pages.
In our 2019 client tracking, we have not seen consistent ranking changes attributable to BERT. Some pages picked up new long-tail traffic from queries Google now understands better. Some lost visibility on long-tail queries where another page is now a better contextual match. The net effect for most small business sites has been small.
A direct answer: BERT does not change page-level ranking signals, so it does not require new optimization tactics. Sites with well-written, naturally phrased, comprehensive content benefit most from BERT. Sites relying on exact-match keyword stuffing benefit least.
Can I optimize for BERT?
Officially, no. Google’s Danny Sullivan said directly: “There’s nothing to optimize for with BERT, nor anything for anyone to be rethinking. The fundamentals of us seeking to reward great content remain unchanged.”
Practically, the work that aligns with BERT is the work good SEOs were already doing:
- Write for humans, not for algorithms
- Use natural language in headers and body copy
- Cover topics comprehensively rather than chasing exact-match keywords
- Answer questions clearly and conversationally
- Avoid keyword stuffing
- Match search intent rather than search syntax
What does BERT mean for content strategy?
The strategic implication is small but real: long-tail, conversational, question-based content has slightly more leverage now than it did before BERT. Pages structured around natural questions (“how do I fix a leaky faucet” vs “leaky faucet fix”) are slightly better positioned.
A direct answer: BERT rewards content written in natural conversational language, especially question-based content that matches how people actually speak and type. The same content structure that wins featured snippets and PAA placements is well-positioned for BERT.
The same structural recipe that has been working for snippets and PAA — question-style H2s, 40 to 60 word direct answers, comprehensive coverage — is the recipe for BERT-friendly content.
What does BERT mean for voice search?
BERT and voice search reinforce each other. Voice queries are longer and more conversational than typed queries. BERT understands those longer queries better. Together, they push the entire ecosystem toward natural-language content.
For small businesses already prioritizing voice search optimization, BERT is a tailwind. No new work required.
Has BERT happened before?
Yes, in research. BERT was open-sourced by Google in November 2018 and has been used in academic and commercial NLP applications since then. The October 2019 announcement was about Google using BERT in its production search algorithm — a different application of the same model.
Knowing the technology was already available helps put the announcement in context: this is not science fiction. It is Google rolling out a now-mature model into its biggest product.
Will BERT roll out to other languages?
Google announced English-language rollout first, with featured snippet improvements in 24 languages by the end of 2019. Full BERT integration in non-English search will roll out gradually.
For US small businesses, the immediate concern is English. International businesses should expect rolling improvements throughout 2020.
What should small business owners actually do?
The short answer: keep doing the right things and ignore the hype. The longer answer:
- Audit your top 30 landing pages for natural language quality. Read each one out loud. Anything that sounds robotic or keyword-stuffed needs rewriting.
- Add question-style H2s with concise direct answers to your high-priority pages.
- Build out FAQ sections with FAQPage schema on your service pages.
- Cover topics comprehensively instead of chasing exact-match short-tail keywords.
- Monitor search query reports in Search Console for new long-tail queries showing up after the BERT rollout.
A direct answer: The right small business response to BERT is no special response — keep producing well-written natural-language content that answers customer questions comprehensively. The structural moves that win featured snippets and PAA placements also align with BERT.
What about content for AI in general?
BERT is one milestone in a broader trend: search engines getting dramatically better at understanding language. Voice assistants, structured snippets, and natural-language search are all moving in the same direction.
The strategic move for small businesses is to invest in content that machines and humans both understand easily. Clean structure, natural language, comprehensive coverage, clear schema markup. The reward will compound for years.
Where to read more
Two primary sources for the BERT announcement: Google’s own blog post on BERT and the Search Engine Land coverage from Barry Schwartz, which broke the news with helpful examples.
If you want help auditing your content for natural-language quality, our SEO services team and content marketing services handle this work as part of every engagement. Browse Frostbite locations for regional support.
FAQs
Did BERT cause my traffic to drop?
Almost certainly not. BERT had minimal page-level ranking impact at rollout. If your traffic dropped in late October 2019, look at other factors first — competitor changes, seasonality, indexing issues.
Will Google announce when BERT changes again?
Google has signaled that BERT will become a continuous part of the algorithm and will not be announced as a discrete update going forward. Future improvements will happen quietly.
Is BERT the same as RankBrain?
No. RankBrain was Google’s earlier natural language model, focused on handling never-before-seen queries. BERT is a more advanced model focused on understanding the relationship between words in any query.
Does BERT affect local search?
Indirectly. Local queries tend to be shorter and more transactional, so BERT impacts them less. But long-tail conversational local queries (“where is the best dentist near downtown for kids”) do benefit from BERT’s improvements.
Should I add more long-tail content?
If you do not already have a long-tail content strategy, BERT is a small additional reason to start one. The bigger reasons — voice search, featured snippets, PAA — already justified it.
BERT is a meaningful upgrade to how Google understands search queries, but it is not an emergency for small business SEO. Keep doing the right things, especially writing naturally and answering questions comprehensively. If you want a hand auditing your content for natural-language quality, request a Frostbite snapshot report — we will pull a free content audit within three business days.
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