Objective To construct an intervention program utilizing an artificial intelligence (AI) language simulator to develop a health consultation and education chatbot for urinary incontinence among pregnant and postpartum women, and to evaluate its clinical effectiveness. Methods The intervention program was initially drafted through literature review and internal discussions by the research team. The content was subsequently refined and validated through expert panel discussions. Guided by the finalized program, AI experts repeatedly adjusted and fine-tuned the AI language simulator based on prompt learning theory to complete the chatbot′s development. A total of 170 pregnant and postpartum women were randomly assigned into an intervention group (n=85) and a control group (n=85). The control group received routine health guidance, while the intervention group received additional chatbot-based interventions alongside routine guidance. Evaluations were conducted using the International Consultation on Incontinence Questionnaire-Urinary Incontinence-Short Form (ICIQ-UI-SF), the Urinary Incontinence Questionnaire(UIQ), and the System Usability Scale (SUS) at three time points: before the intervention, at 12 weeks of intervention, and at 4 weeks postpartum, respectively. Results A total of 82 participants in the intervention group and 83 participants in the control group completed the study. The incidence and severity of urinary incontinence were significantly lower in the intervention group compared to the control group (both P<0.05). The knowledge level of urinary incontinence was significantly higher in the intervention group than in the control group (P<0.05). The overall system usability score of the chatbot was 82.96±3.13. Conclusion The health consultation and education chatbot developed using an AI language simulator demonstrate good usability. It effectively improves urinary incontinence knowledge among pregnant and postpartum women and significantly reduces the incidence and severity of urinary incontinence.