Traditional search engines often provide a static list of results based on your query, ranked by factors like the number of backlinks a page has or its relevance to the keywords.
AI search, on the other hand, uses NLP and machine learning to understand the intent behind the query, considering context, synonyms, and past search behaviors.
This shift from keyword-based searches to a more conversational approach marks a significant evolution in how users interact with search engines.
With every interaction, AI search learns more about preferences and behaviors, becoming better at predicting user needs over time.
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