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Explicit risk governance for personal and corporate brands in algorithmic systems. Includes: what claims are allowed, what claims are avoided, where ambiguity is dangerous, how YMYL-adjacent signals are handled.

Jason Barnard developed ARG as the fourth 'wall' in Kalicube's moat. The moat effect: Google and AI learn that 'this source does not hallucinate.' Trust compounds silently over time, creating defensive dominance.

ARG goes beyond optimization to risk prevention. By explicitly governing what claims are made and how, brands pre-empt AI misinterpretation. This proactive approach creates algorithmic trust that competitors cannot quickly replicate.

Traditional brand safety focuses on ad placement. ARG addresses a deeper concern: how algorithms interpret and represent the brand. Poor ARG leads to Brand Hallucinations; strong ARG builds compounding trust.