BERT Expansion and Passage Indexing

Published: June 15, 2020

Expanding BERT to More Queries

By 2020, Google’s BERT algorithm—originally introduced in 2019 to better understand natural language—expanded to nearly all English queries. BERT helps Google grasp the context and nuances of words within a sentence, leading to more relevant results for complex queries.

This expansion meant that content written in clear, conversational language saw improved performance, while awkward, keyword‑heavy writing fell behind.

Passage Indexing Unveiled

Google also announced the concept of passage indexing, later called passage ranking. Instead of evaluating entire pages as a whole, the algorithm could rank specific sections that answer queries, even if the rest of the page covers different topics.

This allowed long‑form content to be more competitive if it contained well‑structured answers to niche questions.

Content Strategy Implications

To optimise for BERT and passage indexing, write in a natural, human tone. Avoid forcing keywords into sentences where they don’t fit.

Break up your content into logical sections with descriptive subheadings so search engines can easily identify relevant passages. When answering a question, provide the answer near the top of the section and then offer supporting details.

This makes it easier for search engines to pull the answer into featured snippets or top‑ranked passages.

SEO Takeaways and Next Steps

BERT expansion and passage indexing pushed SEO further toward quality writing and thoughtful organisation. If you need guidance on creating content that resonates with both readers and algorithms, contact us at info@phil‑carr.co.uk or 01226 697 325.

If you need help with your SEO strategy, get in touch by emailing info@phil-carr.co.uk or calling 01226 697 325.