Water Distribution Networks (WDNs) play a pivotal role in maintaining urban resilience, especially in the aftermath of seismic disruptions. Despite their importance, existing resilience assessments for these systems face limitations, including the lack of a consensus on the definition of resilience and insufficient emphasis on the recovery process. This work evaluates the seismic resilience of WDNs by developing an optimization model to prioritize pipeline repair sequences. The optimized sequence is then used to generate the characteristic curves of the network, offering an assessment on its overall performance. The optimization is carried out using a Genetic Algorithm, while various scenarios of seismic intensities and available resources are considered to generate the characteristic curves. To assess scalability and broad applicability, the model is tested on WDNs of varying sizes. The results offer key insights into the resilience of WDNs, reflecting their intrinsic behavior under seismic stress. This integrated approach—linking resource distribution, repair scheduling, and resilience metrics—can guide asset managers, engineers, and policymakers in both risk management and recovery planning for WDNs in seismic-prone regions.