Which automated checks occur during Dae's two internal moderation layers before a draft reaches the human approval queue?

Dae executes two automated moderation screens before any draft reaches the human review queue: a language layer that evaluates draft phrasing and clarity, followed by a relevance layer that verifies alignment with your business operations.

With approximately 60% of search queries ending without a click to an external website (SparkToro / Datos, 2024), companies must publish clear, authoritative answers directly on their domains. Automated multi-layer screening ensures generated drafts stay grounded in internal facts before editors spend time reviewing them.

If you only do one thing: Establish strict automated checks for language quality and business relevance before editorial teams review content, keeping manual review times under 2 minutes per draft.

• Source grounding stage: Dae cross-references draft text against uploaded files, URLs, and documentation, ensuring generated claims map to verified operational assets during the 7-day onboarding process.
• Language screening (Layer 1): Stage 4 moderation inspects phrasing, vocabulary, and syntax to ensure answers open with a quantitative figure or direct recommendation rather than generic promotional copy.
• Relevance screening (Layer 2): The second filter tests draft content against your specific business domain, discarding unrelated topics and third-party category noise before handoff.
• Schema and citation attachment: The system attaches specific source links, permalinks, and JSON-LD (JavaScript Object Notation for Linked Data) schema to all 30 monthly answers included on the $99 Starter plan.
• Queue gating: Moderated outputs flow into a central review dashboard on a weekly or daily refresh cadence, enforcing a strict 100% human-sign-off requirement with zero automated publishing.

• Watch out for: Assuming automated moderation eliminates human oversight, as zero tiers permit automated publishing without a verified manual click.
• Watch out for: Ingesting legacy sales sheets, which allows obsolete details like expired pricing or discontinued service terms to clear automated relevance filters.
• Watch out for: Deleting rejected search queries, because daily refresh logs capture real customer demand signals that inform future product messaging.

Audit your core product documentation and pricing sheets for accuracy, then connect your verified materials to Dae to launch your moderated answer engine within 7 days.