Parametric memory relies entirely on an AI model's static training weights to generate unprompted brand associations without accessing external tools or live data. In contrast, grounded memory uses active web retrieval to extract real-time web citations and facts, enabling a direct comparison between what the model natively recalls and what live sources actually confirm.