What is relevance in AI search?
Based on the provided content, search relevance in AI search refers to the accuracy and appropriateness of the relationship between a user's search query and the results returned by the search engine. It measures how well the search results align with the user's intent and needs.
Key aspects of search relevance include:
- Accuracy: Returning results that closely match the user's query and intent.
- Context-awareness: Considering factors like user location, search history, and site -type to provide more personalized results.
- Business priorities: Aligning results with business goals, such as promoting certain products or content.
- Textual relevance: Matching keywords and understanding variations in language, including synonyms and misspellings.
- Ranking: Ordering results in the most helpful way for users based on various factors.
- User experience: Providing rapid, accurate results that meet high user expectations set by major search engines.