Wireless Power Transfer (WPT) systems have gained significant attention for their ability to deliver power to multiple devices without physical connections, enabling applications in consumer electronics, medical implants, and electric vehicle charging. However, in multi-receiver WPT systems, challenges such as frequency splitting, load variations, and dynamic coupling coefficients degrade power transfer efficiency (PTE). This study proposes an adaptive impedance matching network designed to optimize PTE in multi-receiver WPT systems operating at 6.78 MHz, adhering to AirFuel Alliance standards. By employing a variable matching capacitor controlled through real-time optimization, the proposed system dynamically adjusts to variations in mutual inductance and load conditions, mitigating the effects of frequency splitting and cross-coupling between receivers. Through circuit modeling and MATLAB-based simulations, the system demonstrates robust PTE across a range of coupling coefficients, with frequency splitting analysis revealing stable efficiency peaks near the design frequency. The results indicate that the adaptive matching network significantly enhances efficiency and load balancing, achieving a PTE of up to 95% under nominal conditions, making it a promising solution for scalable and efficient multi-receiver WPT applications.