From Dashboards to Standards Introducing the AI Visibility 2.0 White Paper (www.aivojournal.org)

The AIVO Journal editorial board released the AI Visibility 2.0 white paper (Zenodo DOI: 10.5281/zenodo.17169746), arguing that simple dashboards tracking prompt volumes or opaque brand rankings are insufficient for governance. AI Visibility 2.0 reframes visibility as a governance-grade capability—one that must support fiduciary duty, reputational risk management, and regulatory compliance—rather than mere marketing metrics. The paper’s aim is practical: establish standards that boards, regulators, and investors can trust, moving the industry from ad-hoc dashboards to audit-ready measurement. Technically, the framework rests on five pillars—Transparency (documented provenance and sampling logic), Reproducibility (metrics verifiable within tolerance bands), Attestation (anonymization and methods certified by third-party auditors), Regulatory alignment (GDPR, CPRA, FTC guidance, EU AI Act), and Board-readiness (outputs formatted for fiduciary/ESG reporting). The white paper supplies concrete artifacts: an anonymization attestation checklist, a reproducibility test protocol, and a procurement clause enterprises can adopt immediately. It also cites the AIVO Standard v3.0 and the AIVO 100™ index as proofs of concept showing that transparent, reproducible, and attested visibility metrics are feasible. For AI/ML teams and compliance officers, the paper signals a shift toward measurable, auditable visibility practices that can be embedded into procurement, auditing, and regulatory workflows.