AI-based conversational agents are increasingly providing health-related information. This project investigates how a chatbot addressing women's health issues is evaluated in terms of usability, satisfaction, support, trustworthiness, and social presence. Questionnaire and usage data provide insights into the relationship between users and chatbots and promote understanding of their use in the healthcare sector. Conversational agents based on large language models (LLMs) are increasingly being used to convey health-related information in a natural and human-like manner. This project investigates how users evaluate a chatbot for health topics that mainly affect women in terms of usability, satisfaction, and perceived support. It also explores how the chatbot is perceived in terms of trustworthiness and social presence, and how users view their relationship with the chatbot. To this end, questionnaire data and behavioral data from users regarding interaction frequency and duration, topics, emotions, intimacy, and (para)social behavior are evaluated. The results of this project will improve our understanding of the perception and use of health-related chatbots.