Keyword search primarily operates on lexical matching, directly comparing query terms to words present in content. For SEO, this means optimizing content to include specific keywords and their variations, ensuring pages are found when users search for those exact phrases. In contrast, vector search, or semantic search, transforms both queries and content into numerical representations called embeddings. It then measures the semantic similarity between these vectors, allowing it to understand the true meaning and intent behind a search query, rather than just matching words. This fundamentally shifts SEO focus from mere keyword stuffing to creating comprehensive, high-quality content that deeply addresses user intent and related topics. Ultimately, vector search prioritizes contextual relevance and conceptual understanding, making content quality and topical authority paramount for modern SEO success. More details: https://freesextgp.org/go.php?ID=322778&URL=https://infoguide.com.ua/