The geomagnetic storm is a temporary disturbance of the earth's magnetosphere caused by a solar wind shock wave interacts with the earth's magnetic field. It is rarely acquired in the practical magnetotelluric (MT) survey. The rare MT researcher pays attention to the influence of geomagnetic storms on the MT data. MT data include the natural electromagnetic signals and artificial noises (instrumental, humanmade, and so on). Therefore, not all the time series contain usable information about the electrical conductivity distribution at depth, particularly when the signal-to-noise ratio is low. However, the signal-to-noise ratio will increase when there is a geomagnetic storm. In this paper, we focus on research the influences of the geomagnetic storm on MT data. Three case studies were demonstrated to show the positive effect of the geomagnetic storm on MT data. As a result, we could obtain reliable MT impedances at the noisy site using the geomagnetic storm data. It is difficult to get a reliable impedance tensor under electromagnetic environments contaminated by continuous noise. Therefore, predicting the geomagnetic storm by the space weather forecast before acquiring the MT data is effective. Utilizing the MT data during a geomagnetic storm may get a reliable result at the site contaminated by the continuous noise.