What does an AI Visibility Scan check, and how should I act on its findings?

An AI Visibility Scan evaluates how clearly your Digital Twin and public knowledge surface readers. It looks for gaps where AI might retrieve content, cite sources, or summarize across languages, and it flags areas where signals are weak or misaligned with your canonical facts. In plain terms, it helps you see where your knowledge surface is not yet “AI-ready” and where AI might misinterpret or over-generalize your content. Actionable steps include prioritizing the Public Business Brain with deterministic facts and verifiable sources, strengthening language-aware mappings, and ensuring the Q&A network links to proper proofs. Use the scan results to drive a simple, auditable update cadence in the Control Centre, attach change logs, and close gaps with targeted building blocks (facts, proofs, media) so AI can retrieve, cite, and summarize reliably.