Vector search is a search technique that represents words, phrases, and concepts as mathematical vectors in a multi-dimensional space, allowing a system to find genuinely conceptually similar content even when the exact wording differs significantly from the original query.
This approach underlies much of modern semantic search and AI-powered search systems, enabling far more sophisticated matching between a searcher’s actual intent and relevant content than traditional keyword-based matching could achieve.
For SEO purposes, vector search reinforces the importance of writing content that genuinely and comprehensively covers a topic’s core concepts, since the underlying technology is increasingly capable of recognizing true relevance beyond exact keyword presence.
We build content with this deeper conceptual coverage in mind as part of our SEO Content Strategy service.