Knowledge graphs
Knowledge Graphs for DTC Marketing Teams
A knowledge graph is not a content library. For a DTC marketing team, it is the structured memory layer that lets repeated decisions become reusable context.
Start with an AI Audit →Why It Matters
Marketing teams repeat the same decisions every week: segment rules, campaign learnings, reporting caveats, creative feedback, and approval preferences. If that context stays in chat threads and individual memory, Claude Code and Codex start cold every time.
A structured knowledge layer makes the work inspectable. It gives the model current context, and it gives the technical team files, boundaries, and decisions they can review.
The Useful Version for DTC
- Brand voice decisions become nodes.
- Campaign learnings become nodes.
- Metric definitions become nodes.
- Customer objections become nodes.
- Approval decisions become nodes.
- Claude Code and Codex workflows retrieve the right context instead of relying on memory in a chat thread.
Where This Compounds
CRM
Lifecycle decisions, segment rules, approval notes, and campaign history become easier to reuse.
SMM
Creator context, platform norms, prior reporting questions, and stakeholder preferences stay available.
Analytics
Metric definitions, source caveats, and prior conclusions stay attached to future analysis requests.