# Why AI Search Needs Separate Evaluation for Factual and Exploratory Queries Not every search query has the same goal. Some users want one factual answer. Others are exploring a topic and expect multiple perspectives. AI search should be evaluated differently for each case. For a Malaysia-focused platform such as **<a href="https://winmyr.com.my/responsible-gaming">WINMYR</a>**, factual queries need strong source accuracy and freshness. A question about a sports result has a correct answer. A question about industry trends may require several sources and more interpretation. Exploratory queries benefit from breadth. Factual queries benefit from precision. Using one evaluation score for both can hide weaknesses. A system might be excellent at summarising broad topics but poor at retrieving exact dates. Another might answer simple facts well but oversimplify complex analysis. For **WINMYR**, the broader AI lesson is that search quality depends on user intent. Evaluation should reflect the type of question the product is actually expected to answer.