We rather explore here the possibility to use less accurate surrogate models for a faster (pre-)evaluation of the PES and demonstrate that a judicious choice of surrogate level can provide satisfactory knowledge for establishing a pool of low-energy candidates, to be ultimately refined at a first-principles level. This seems also reasonable in view of the fact that relative energies and vibrational frequencies can differ markedly upon changing the level of theory, DFT functional or basis set and that there exists a priori no exact, tractable and universal baseline for the PES to drive the optimization with.