Semantic Search

Semantic search technology interprets the context, meaning, and intent behind user queries to understand the purpose behind their searches.

What is semantic search?

Semantic search technology goes beyond simply matching keywords; it interprets the context, meaning, and intent within a query. It recognizes relationships between concepts and synonyms, enabling search engines to provide relevant results even when exact keywords aren't used.

Core technologies that empower semantic search include:

• Natural language processing to comprehend queries as naturally spoken
• Knowledge graphs to identify entities and their interconnections
• Vector embeddings to grasp the meaning of content beyond mere keywords
• Contextual analysis to interpret user intent and align it with related terms

This advanced approach enhances modern search engines and AI systems, allowing them to understand natural language queries and align user intent with content meaning, delivering the most helpful answers without relying solely on exact keyword matches.

Learn more: Discover the impact of semantic search and LSI keywords on your content strategy in our Google Algorithm Update: LSI & Semantic Keywords guide.