In the past decade, there has been significant interest in the integration of biomaterials with electronic elements: combining biological functions of biomolecules with nanotechnology offers new perspectives for implementation of ultrasensitive hybrid nanodevices. In particular, great attention has been devoted to redox metalloproteins, since they possess unique characteristics, such as electron-transfer capability, possibility of gating redox activity, and nanometric size, which make them appealing for bioelectronics applications at the nanoscale. The reliable connection of redox proteins to electrodes, aimed at ensuring good electrical contact with the conducting substrate besides preserving protein functionality, is a fundamental step for designing a hybrid nanodevice and calls for a full characterization of the immobilized proteins, possibly at the single-molecule level. Here, we describe how a multitechnique approach, based on several scanning probe microscopy techniques, may provide a comprehensive characterization of different metalloproteins on metal electrodes, disclosing unique information not only about morphological properties of the adsorbed molecules but also about the effectiveness of electrical coupling with the conductive substrate, or even concerning the preserved biorecognition capability upon adsorption. We also show how the success of an immobilization strategy, which is of primary importance for optimal integration of metalloproteins with a metal electrode, can be promptly assessed by means of the proposed approach. Besides the characterization aspect, the complementary employment of the proposed techniques deserves major potentialities for ultrasensitive detection of adsorbed biomolecules. In particular, it is shown how sensing of single metalloproteins may be optimized by monitoring the most appropriate observable. Additionally, we suggest how the combination of several experimental techniques might offer increased versatility, real-time response, and wide applicability as a detection method, once a reproducible correlation among signals coming from different single-molecule techniques is established.