Parametric memory captures an LLM's unprompted recall shaped entirely by its static training weights, reflecting established brand associations alongside potential hallucinations and historical biases. In contrast, grounded memory utilizes real-time retrieval tools—such as live search indexing and direct URL extraction—to gather verified external sources. Comparing both layers allows practitioners to pinpoint critical information gaps and evaluate source fidelity, determining whether an AI engine accurately conveys current brand facts or distorts them.