As part of the DFG project “Reflection-driven Artificial Intelligence in Art History,” both practice-oriented—particularly machine-assisted—and theoretically grounded approaches to the use of image similarity assessments in art-historical research are being investigated. In this context, the following questionnaire was developed. It aims to explore visualization techniques that enhance the traceability and interpretability of AI-generated results within art-historical analysis. In doing so, the project seeks to contribute to a transparent and reflective integration of AI methods into the research practices of the humanities.