Search algorithms rank web pages using a variety of ranking factors such as relevance, quality of content, and user engagement metrics. These algorithms analyze multiple signals, including keywords, backlinks, and page structure, to determine the most relevant results for a user's query. Machine learning and artificial intelligence techniques are increasingly integrated to refine these algorithms, allowing them to improve over time by learning from user behavior and feedback, ultimately enhancing the quality of search results.