How to Operationalise Visibility Assurance in the First Ninety Days
AI mediated discovery has moved from edge curiosity to core distribution infrastructure. Visibility in AI assistants is becoming a commercial dependency, not a marketing sidequest. The risk profile is asymmetric. A single model update or retrieval shift can remove a brand from category consideration overnight, with no warning and no native audit trail.
Leadership teams now face a simple question:
Can you demonstrate that your organisation detects visibility drift, attributes causes, and restores baseline within a bounded time window?
This ninety day playbook provides an implementation blueprint for doing exactly that.
It breaks execution into four operational sprints that turn Visibility Assurance from a concept into a repeatable discipline with controls, audit evidence, and recovery SLAs:
- Scope and baseline
- Observe and alert
- Attribute and remediate
- Certify and scale
This is not a theory piece. It is a working operating manual designed for risk, comms, and data teams who must install a real function with accountability, monitoring cadence, and board reporting.
If AI mediated markets continue to compound, the cost of not having this capability will dwarf the cost of establishing it.
What you will get
- RACI matrix with accountable owners
- Baseline threshold methodology
- Monitoring and alerting cadence
- Attribution and remediation workflows
- Certification and audit templates
- Board-ready KPIs and recovery targets
Download the full playbook below.
👉 Download: Visibility Assurance in the First Ninety Days (PDF)
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