Search algorithms determine results in search engines through a combination of indexing, ranking, and relevance assessment. When a user enters a query, the algorithm searches its indexed database and evaluates web pages based on numerous criteria such as keyword relevance, site authority, and user engagement metrics. Advanced techniques like machine learning help refine the ranking process by learning from search patterns and user behavior, ensuring search results are tailored to user intent while striving for the most accurate and meaningful outcomes.