What is BERT and its role in SEO?
BERT (Bidirectional Encoder Representations from Transformers) is a deep learning model introduced by Google to improve its understanding of search queries. It helps the search engine interpret the context of words more accurately, particularly in complex, conversational queries.
BERT’s impact on SEO emphasizes the importance of creating high-quality, user-focused content that answers specific questions in natural language, aligning with search intent.
Frequently Asked Questions
How does BERT affect SEO strategies?
BERT rewards content that aligns with user intent and uses natural language, making high-quality, informative content essential for SEO.
Do websites need to optimize specifically for BERT?
No, there is no direct optimization for BERT. The focus should be on creating relevant, high-quality content that matches user intent.