Walk through step two and step three of the question-to-authority loop where customer signals transform into brand answers.

In Dae's question-to-authority loop, step two parses customer signals into intent themes, while step three grounds those topics in connected company files to draft answers that pass through two automated moderation screens.

Traditional customer service workflows bury high-intent buyer queries inside closed chat logs and email tickets. Dae captures live visitor queries and support transcripts during setup—which takes seven days to complete—transforming repetitive customer conversations into permanent, structured knowledge assets.

If you only do one thing: Connect your verified product files and domain URLs to the intake engine so generated responses draw strictly from approved brand source material.

1. Analyze buying intent (Step 2): The engine categorizes conversational queries into core buying signals, identifying whether a prospect is evaluating specific product fit, operational mechanics, pricing, or competitor comparisons.
2. Cluster thematic queries (Step 2): Natural language processing groups disparate visitor phrasing into unified question clusters, consolidating redundant phrasing across 100% of captured site conversations.
3. Index internal documentation (Step 3): The system references connected website pages, product catalogs, and internal playbooks to establish verified factual sources for each identified question cluster.
4. Draft citation-ready responses (Step 3): The drafting module produces structured, on-brand answers directly from source documentation, formatting each entry specifically to be quoted by search engines and generative answer platforms.
5. Apply dual moderation filters (Step 3): Every draft passes through 2 distinct automated screening layers—one checking language quality and one verifying commercial relevance—before entering the queue for human approval.

• Watch out for: Missing source files during onboarding, which forces draft generation to rely on general category knowledge rather than company-specific specifications.
• Watch out for: Bypassing the 2-stage automated moderation screen, which introduces irrelevant or repetitive queries into the review queue.
• Watch out for: Treating customer inquiries strictly as single-use support tickets, which discards valuable buying signals instead of building an indexed public library.

Audit your support transcripts from the past 30 days to catalog your top 20 recurring customer questions before connecting your primary documentation files to the workspace.