Connects approved data sources, performance signals, content queues, and delivery reviews in one queryable operating surface.
An agency can have useful data in many systems and still lack a reliable operating view. This dashboard brings source status, client evidence, content work, AI-visibility signals, and delivery queues into a shared surface so teams can ask better questions without treating a static report as the source of truth.
The dashboard is an evidence and routing layer. It does not replace the systems that own the underlying data.
Register the client, permissions, reporting sources, content inventory, and delivery records that are allowed into the workspace.
Surface stale connections, missing periods, broken fields, and other conditions that would weaken the evidence.
Map unlike source structures into consistent client, channel, query, content, and delivery records.
Bring forward meaningful changes, AI-visibility gaps, Reddit or answer-engine signals, and work that needs an owner.
Turn signals into inspectable queues for research, content, reporting, or client follow-up without auto-publishing.
Use the shared evidence to prepare client-safe explanations, confirm completion, and decide the next operating action.
The dashboard is connector-aware and permission-bound; sources vary by client and workstream.
Output
A source-health view, queryable client evidence, prioritized opportunity and delivery queues, and reviewed reporting inputs.
Review
Access approval, source interpretation, client-safe explanations, priority decisions, work assignment, and every external publish or send.
Public examples use representative structures and approved aggregate outcomes; they omit client credentials, raw exports, private prompts, personal data, and unpublished work. A signal is not reported as a result until its source and comparison period are understood, and no dashboard queue silently becomes client-facing content.