A new training framework, Structured Latent Visual Reasoning (SLVR), is proposed to improve multimodal large language models (MLLMs) on visual reasoning tasks. SLVR organizes reasoning into typed latent stages for planning, grounding, evidence selection, and reasoning integration, and shows consistent improvements across multiple benchmarks.