Enhanced geothermal systems (EGS) hold the promise of vastly expanding geothermal energy production. Realizing this potential requires conquering significant subsurface uncertainties. A fully coupled understanding of subsurface thermal, hydraulic, mechanical, and chemical processes (often termed THMC) is essential for successful EGS development. Geophysical data acquisition and continuous monitoring play a critical role in informing and calibrating each component of the coupled reservoir models. In this perspective, we examine how systematic geophysical data gathering should be leveraged for coupled EGS modeling, using the Utah FORGE project as a primary case study alongside insights from other EGS projects globally. We detail the geophysical data requirements for hydraulic modeling (fracture and fluid flow related pressure propagation), thermal modeling (temperature and heat flow characterization), mechanical modeling (stress evolution, rock deformation, and induced seismicity), and geochemical modeling (proppant-fluid-rock interactions and tracer studies). We emphasize the importance of calibration — using geophysical measurements to adjust models — and continuous monitoring — using memory and live real-time data streams (e.g. microseismic, fiber-optic sensing, satellite deformation, etc.) to update and validate models over an EGS life cycle to strategize the project. This integrated, data-driven approach distinguishes itself from general trends in geothermal geophysics by its focus on building a rigorous foundation for predictive coupled simulations. Challenges such as sensor longevity in harsh environments and data management are weighed against the opportunities for optimizing EGS reservoir creation and operation. We conclude that a geophysics-driven modeling strategy is crucial for derisking EGS and moving toward reproducible, commercial-scale heat extraction systems.