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Semantic Search in the context of AEO (Answer Engine Optimization) refers to the search technology that understands the intent and contextual meaning behind a user's query rather than just matching keywords. It aims to deliver more accurate and relevant answers by interpreting the natural language and the relationships between words.
Synonyms: contextual search, intent-based search, meaning-based search, natural language search
Semantic Search improves the quality of search results by focusing on the meaning behind queries. This helps answer engines provide precise answers, enhancing user experience and increasing the chances of content being featured in answer snippets.
Semantic Search uses natural language processing and machine learning to analyze queries and content. It helps answer engines understand user intent, context, and related concepts, enabling better matching of content to questions.
When a user asks "best running shoes for flat feet," semantic search understands the intent to find specialized shoes, not just pages containing the keywords "running shoes" and "flat feet." This leads to more relevant and helpful answers.
