Vector Search and SEO: How Semantic Retrieval Shapes Visibility

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Vector Search and SEO: How Semantic Retrieval Shapes Visibility

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In this episode Tony walks through how modern search engines use dense vectors from transformer models to match queries semantically, blending that with traditional lexical signals. He explains the mechanics of embedding construction, nearest‑neighbour retrieval, chunking strategies and discusses operational issues like GPU cost, storage, latency, and measurement. Finally he considers what vector search really adds for content creators, link building and ranking signals, and why it’s just one piece of a much larger puzzle. Learn more about your ad choices. Visit megaphone.fm/adchoices

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