From Retrieval to Customer Context: Evaluating Frontier-Model Systems for Voice-of-Customer Analysis
The study compared three AI systems for analyzing customer feedback: Agentic RAG, a Deep Research Agent, and a Customer Context Graph-backed Agent. The graph agent performed best by creating a persistent model of customer and operational data. This persistence allowed it to achieve superior analytical depth, showing that maintaining structured context over time is more important than real-time agency for high-quality VoC analysis.