Large language models (LLMs) show promise in improving survey research, particularly in disaster preparedness contexts, by enhancing data quality and reducing biases. A new framework integrating LLMs has demonstrated superior performance in data imputation compared to traditional methods, suggesting a potential revolution in how surveys are conducted and analyzed.