DEJAN resolves factual discrepancies and visibility blind spots through a two-pronged strategy: the Content Optimizer iteratively refines on-page copy via Bayesian rank-factor testing to capture high-intent search queries, while the adversarial AI Outreach engine deploys natural off-site placements evaluated by red and blue team agents. Together, these methods build a network of authoritative, crawlable source citations that ground live LLM search results, ultimately correcting misconceptions and seeding accurate brand data into future model training sets.