The ability of cells to detect and respond to mechanical cues from their microenvironment, known as cell mechanosensing, is fundamental to processes ranging from tissue development to wound healing and cancer progression. While elastic stiffness has long been recognized as a key regulator of cell behaviour, emerging evidence underscores the critical role of viscoelasticity in modulating focal adhesion dynamics and cytoskeletal remodelling. Capturing the time-dependent nature of these mechanical interactions is crucial for predicting cellular responses under both physiological and pathological conditions. In this talk, we explore the mechanical modelling of two mechanosensing phenomena in which viscoelastic effects play a decisive role. First, we present a model for cell reorientation under cyclic substrate stretch. Experimental results indicate that reorientation critically depends on the stimulus frequency, necessitating the inclusion of viscous effects. Our framework couples a generalized anisotropic Maxwell constitutive law with an evolution equation for the cell orientation angle, showing good agreement with experimental data. In this reorientation model, cells are assumed to adhere perfectly to the substrate, a simplification that overlooks the interfacial mechanical coupling that occurs through focal adhesions. To address this, we present a one-dimensional model for cell-matrix adhesion that incorporates distinct viscoelastic properties for both the adhesion interface and the substrate. We solve the governing equations analytically in the Laplace domain and numerically across representative scenarios, demonstrating the model's ability to investigate mechanical signal transmission from the substrate to the adhesion plaque. Our findings reveal that viscoelasticity significantly influences force transmission and adhesion dynamics, driving transient behaviours and frequency‐dependent responses that purely elastic models cannot capture. These insights may have important implications for understanding cell decohesion and migration.