Neural search refers to search technology powered by neural network-based machine learning models, capable of understanding deeper semantic meaning and context within both queries and content, rather than relying on traditional keyword-matching approaches.
This technology underlies many of Google’s advanced language understanding systems, including BERT and MUM, enabling far more sophisticated interpretation of nuanced, conversational, and context-dependent search queries.
For SEO practitioners, neural search reinforces the importance of writing genuinely comprehensive, naturally structured content that thoroughly addresses a topic’s context, rather than optimizing narrowly around isolated keyword phrases.
We build content with neural search capabilities in mind within our SEO Content Strategy service.