Corporate Real Estate Management (CREM) professionals face diverse challenges, from space optimization to financial decision-making, in their field. The potential of emerging AI technologies, such as ChatGPT, remains underexplored in this context. This research seeks to address this knowledge gap by examining whether a tailored ChatGPT can significantly enhance the capabilities of CREM professionals with a focus on property managers. The central question revolves around ChatGPT's utility within Property management, aiming to answer the fundamental question: "‘’What is the added value of a tailored ChatGPT for professionals in Property Management?" A mixed-method approach, combining qualitative and quantitative methods, is employed. This approach encompasses in-depth interviews, thematic analysis, and surveys to assess ChatGPT's performance. The research objectives encompass evaluating ChatGPT's performance compared to human experts and gauging its added value. The anticipated outcomes include a comprehensive research findings report, quantitative and qualitative datasets, and a tailored ChatGPT for property managers. This research aspires to understand the potential role of a tailored ChatGPT in CREM and providing insights to policymakers and technologists regarding AI's potential in shaping the future of CREM.