What is AI Visibility 2.0?

A governance framework for AI-mediated discovery built on transparency, reproducibility, attestation, regulatory alignment, and board-readiness.

Why are dashboards not enough?

Most dashboards rely on opaque methods and weak anonymization. Their outputs are not reproducible or auditable, which makes them unfit for board or regulatory use.

How does the framework address compliance?

It aligns with GDPR, CPRA, FTC guidance, and the EU AI Act, and requires third-party attestation of anonymization, provenance, and metric reproducibility.

Where can I read the full white paper?

The white paper is available on Zenodo at DOI 10.5281/zenodo.17169746.

From Dashboards to Standards: Introducing the AI Visibility 2.0 White Paper

Editorial Board

21 Sep 2025 • 1 min read

AI Visibility 2.0

Editorial Board – AIVO Journal

Yesterday, we argued that dashboards are not enough. “AI Visibility 1.0” tools—those that track “prompt volumes” or generate brand rankings from opaque datasets—may serve marketing curiosity, but they cannot support governance. Visibility in generative AI has become a fiduciary, reputational, and compliance issue. Dashboards cannot carry that weight.

Today we are publishing the AI Visibility 2.0 White Paper on Zenodo (DOI: 10.5281/zenodo.17169746).

The white paper defines AI Visibility 2.0 as a governance-grade framework for measuring and managing brand presence in AI-mediated discovery. Its five pillars are:

Transparency – documented data provenance and sampling logic
Reproducibility – metrics independently verifiable within tolerance bands
Attestation – anonymization and methodology certified by third-party auditors
Regulatory alignment – compliance with GDPR, CPRA, FTC guidance, and the EU AI Act
Board-readiness – outputs structured for fiduciary reporting and ESG disclosures

The paper critiques the structural deficiencies of AI Visibility 1.0, maps regulatory requirements across jurisdictions, and provides practical tools:

an anonymization attestation checklist
a reproducibility test protocol
a procurement clause that enterprises can adopt immediately

As proof of concept, the paper references the AIVO Standard v3.0 and the AIVO 100™ index, both of which show that transparent, reproducible, and attested visibility metrics are achievable in practice.

Our goal is not simply to add another layer of analysis. It is to establish a standard that boards, regulators, and investors can trust—moving the field decisively from dashboards to standards.

📖 Read and download the full white paper here: Zenodo DOI link

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