Three key priorities of AI Search Algorithms are Completeness, Optimality, and Time and Space Complexity. ‘Completeness’ indicates that a search algorithm is complete when it returns a solution for any input if a minimum one solution exists for that specific input. ‘Optimality’ property explains that if the solution inferred by the algorithm is the best and most cost-effective solution, then that solution is regarded as the optimal solution. ‘Time Complexity’ property indicates the time taken by an algorithm to perform its task; ‘Space complexity’ is the maximum storage space required during the search process.