How AI Semantic Search Beats Keywords
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We have been using keyword-based search for decades. However, it is now a traditional method with the onset of AI semantic search. Keywords only showed a set of pages similar to the query. This was relevant in the early days, but not anymore. Today, search queries are complex and require more suitable results. An AI web crawler and search focus on understanding the query meaning. Hence, it provides more accurate and user-focused results. Understands meaning When you enter a term in search engines, it may not provide the complete results. For instance, when you search for an engineer or developer, a keyword search may miss some crucial results. Meanwhile, with semantic search, it recognizes these two terms as having the same meaning. This is when you receive complete and relevant answers. As a result, you don’t need to worry about overphrasing or entering a long search query. Use in business and recruitment Semantic search is highly valuable for marketers, recruiters, and profess...