As digital competence becomes a core priority for lifelong learning in Europe, the need to teach AI literacy grows increasingly urgent. To address this, we present IILAP, a browser-based Interactive Information Literacy Assessment Platform, designed to support the teaching and assessment of critical reading of AI-generated content. IILAP includes a Teacher Tool for curating chatbot QA datasets with truth labels and sources, and a Student Interface that provides responses enriched with citations and trust indicators. The system logs interaction data—such as time on task, source clicks, verification attempts, and error detection—to help educators identify gaps in students’ critical reading skills. After each session, automated Excel reports summarize these measures for easy assessment. Developed through an initial user study, IILAP enables classroom deployment of controlled chatbot interactions and provides structured analytics aligned with indicators of critical thinking. This demo showcases how the system bridges user behavior and educational evaluation to fostering AI literacy in education.