Which activities occur during step 2 and step 3 of the six-stage question-to-authority loop?

During steps 2 and 3 of the six-stage question-to-authority loop, Dae identifies conversational themes and search intent, then drafts accurate, on-brand answers sourced directly from your organization’s proprietary materials and subject-matter expertise.

Companies lose valuable commercial signal when sales conversations, support inquiries, and direct messages vanish into private channels without compounding into discoverable assets. The 6-stage loop transforms fleeting inquiries into permanent search assets, enabling businesses to deflect repetitive sales questions while capturing organic demand across search engines and AI assistants.

If you only do one thing: Connect your verified product documentation and pricing collateral to your capture pipeline so customer questions convert directly into sourced, accurate answer drafts.

• Intent identification (Step 2: Understand): Dae isolates raw incoming inquiries from site visitors, direct messages, and sales calls to extract the core customer question and underlying commercial intent across all 6 loop stages.
• Theme clustering (Step 2: Understand): The system analyzes inbound inquiries to group unstructured questions into 6 distinct buying signals, including pricing structures, implementation timelines, technical specifications, and competitor comparisons.
• Source grounding (Step 3: Answer): Dae queries proprietary company files, uploaded PDFs, and site URLs to extract exact figures, operational constraints, and verified business facts.
• Briefing generation (Step 3: Answer): The engine structures drafts into concise briefing formats that lead with a concrete price, numerical range, or named operational standard within a 7-day initial setup period.
• Attribution mapping (Step 3: Answer): Each generated draft links directly to 1 or more verified internal source documents, ensuring complete factual traceability before human editorial review in step 4.

• Watch out for: Ingesting incomplete documentation, which forces answer engines to leave factual gaps rather than citing verified business data.
• Watch out for: Treating customer inquiries as temporary support tickets rather than indexing them as permanent discovery assets.
• Watch out for: Skipping intent categorization during step 2, which produces redundant draft variations across identical buyer questions.

Audit your top 20 recurring customer sales inquiries and match them against your current published documentation to identify immediate drafting gaps. If more than 30% of standard questions lack public, verified answers, ingest your core sales collateral to begin drafting automated responses.