AMIGO is a new benchmark for evaluating agentic vision-language models, specifically their ability to ground information in a sequence of attribute-focused questions and answers. The benchmark stresses question selection, constraint tracking, and fine-grained discrimination, and provides metrics for evaluating model performance.