Smart tourism has emerged as a rapidly evolving field that integrates advanced digital technologies, artificial intelligence, and data-driven solutions to enhance tourism experiences, optimize destination management, and support sustainable development. Large Language Models (LLMs), which can provide real-time assistance, customized recommendations, and improved user engagement, represent a significant development in this field. This chapter investigates the intersection of LLMs with major smart tourism concepts including context awareness, real-time applications, user experience, recommender systems, cultural heritage, and data analytics. Through a structured literature review, we analyze how LLMs enhance these domains and identify the opportunities and challenges associated with their implementation. Additionally, we discuss the limitations of existing systems, ethical considerations such as privacy and bias, and potential future directions for optimizing AI-driven smart tourism services. Our findings suggest that LLMs have the potential to redefine smart tourism by making services more adaptive, user-centric, and efficient. To guarantee their responsible utilization, though, careful fine-tuning, ethical supervision, and integration with human knowledge are absolutely vital. This paper adds insights for academics, business leaders, and legislators trying to use LLMs for more immersive, inclusive, and eventually smart tourism experiences, so contributing to the continuous conversation on AI-driven smart tourism.