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Platform modules
Platform modules
Digraph modules give teams dedicated surfaces for monitoring, analysis, alerts, decision support, and agent workflows. They share the same brand and tracker context, but solve different operational problems.
An overview of the named Digraph modules and the role each plays in the workflow.
How modules work together
AI Audit is the evidence base: it records how tracked AI platforms answer configured prompts. The other modules help teams investigate, summarize, act on, or extend that evidence.
| Module | Primary purpose | Current status |
|---|---|---|
| AI Audit | Monitor how AI talks about your brand. | Available |
| AI Round Table | Turn AI insights into a decision-oriented brief. | Beta |
| Marketing and Technical Analysis | Investigate brand performance in depth. | Beta |
| Digraph Signal | Surface AI visibility alerts and monitored changes. | Beta |
| Digraph Agents | Support agent analytics and organization-scoped workflows. | Available |
Choosing the right module
Start with AI Audit when you need to verify a result. Use the other modules when you need a specific analysis, alert, synthesis, or workflow outcome. A generated or summarized output should remain linked to the underlying tracker context and evidence.
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