Enterprise Monitor sample
MOCK sample. This sample uses a fictional brand, fictional competitors, placeholder raw-evidence IDs, and non-resolving URLs. It shows the delivery structure for Enterprise Monitor, not a measurement promise for a real brand.
What this sample demonstrates
| File | Primary reader | Purpose |
|---|---|---|
| sample-monthly-report.md | Leadership and functional owners | Monthly trend, risks, competitor movement, citation-source shifts, and priority actions. |
| sample-weekly-pulse.md | Operators and monitoring owners | Small watchlist update between monthly full audits. |
| sample-agent-manifest.json | Enterprise AI agent employee | Machine-readable entry point for files, scope, verification rules, and handoff constraints. |
| sample-agent-action-backlog.json | Enterprise AI agent employee | Action records with owners, priority, approval gates, and evidence IDs. |
| Monthly Improvement Plan add-on | Human owners and enterprise AI agent employees | Optional layer that turns weak findings into a 30-day improvement plan; scoped with Enterprise Monitor, not sold as a public standalone product. |
Enterprise-specific difference
The Snapshot sample shows the core evidence structure. Enterprise Audit uses the same evidence discipline for a one-time enterprise assessment. Enterprise Monitor adds recurrence, trend interpretation, approval-aware agent tasks, and a separate weekly pulse layer. Monthly Improvement Plan adds a deeper planning layer when the customer wants Clarivy to help turn weak results into owner-ready work. The agent deliverables are not summaries for humans; they are operational inputs for enterprise AI agents that must preserve evidence links and approval gates.