recall

Retrieve marketing learnings by querying a brand intelligence graph using channel, audience segment, objective, campaign type, or freeform scenario context to inform current planning decisions.

Filter marketing learnings by applying confidence thresholds and time ranges, ranking results using relevance, validation confidence, and freshness weighting to ensure data reliability.

Generate a structured playbook by clustering retrieved learnings into themes like messaging, timing, audience behavior, and tactics, while flagging conflicts with actionable recommendations.

Conflict detection identifies contradictory insights within clustered themes during the retrieval process, returning structured recommendations to resolve conflicting marketing learnings.

Yes, you must load the active brand profile first to execute intelligence-graph querying, apply confidence filters, rank results, and return structured playbooks with base stats.

It works for both standard campaign types and freeform situation descriptions, retrieving validated learnings from the brand intelligence graph to inform any specific marketing decision point.