In this research, we demonstrate that electrostatic features, obtained through point charge analysis, accurately predict stable alkali adsorption sites on 2D-TMD's. We have developed a ranking machine learning algorithm that exhibits robust generalization across various alkali concentrations, substrate sizes, and combinations of alkali and TMD types. The provided pre-trained model is tailored for use with octahedral TMDs and different alkalis.