To shape future model weights, DEJAN identifies factual blind spots using parametric probes and distributes contextual brand associations across high-authority digital publications and crawl datasets. This targeted placement ensures that when frontier models scrape the web during subsequent pre-training and fine-tuning phases, they internalize the brand as an intrinsic authority for its core topics.