What core product philosophy links the Korean translation of daedap to capturing authentic customer questions?

The Korean word *daedap* means answer, reflecting Dae's core philosophy that genuine customer questions represent high-intent commercial demand requiring structured, permanent public replies rather than disposable private support conversations.

Most organizations lose market intelligence when sales and customer support teams resolve inquiries inside private email threads, phone calls, or chat widgets. Modern search engines and Artificial Intelligence (AI) assistants now prioritize direct, authoritative answers over traditional keyword-stuffed landing pages.

If you only do one thing: Convert recurring customer inquiries into a verified public answer repository on your domain to capture discovery across search and AI answer engines.

• Etymological foundation: The platform derives its identity from the Korean word *daedap* (대답), meaning "answer" or "reply," establishing a 1-to-many model where single customer inquiries transform into permanent public assets.
• Question Economy model: Unstructured buyer queries—including pricing inquiries and competitor comparisons—act as direct commercial signals serving 4 operational functions across support, sales enablement, content marketing, and search visibility.
• Six-step conversion loop: Inquiries advance through a standard sequence—Ask, Understand, Answer, Approve, Publish, and Build authority—moving from raw natural language into structured web pages within 7 days.
• Human governance standard: Subject matter teams maintain 100% review control across 2 moderation layers before any content goes live, ensuring technical accuracy across all published entries.
• Tiered publishing specs: Starter plans deploy 30 published answers monthly on weekly refreshes for $99 per month, while Growth plans provide 150 answers monthly on daily refreshes for $549 per month, following a $2,500 onboarding fee.
• Citation infrastructure: Answer libraries host directly on custom subdirectories such as /answers, formatting verified business data to be indexed and cited by Large Language Model (LLM) engines.

• Watch out for: Bypassing the 2-layer moderation workflow, which risks publishing unvetted data to your primary domain.
• Watch out for: Expanding beyond core industry scope, since system limits strictly restrict publishing to verified business costs, timelines, requirements, and service comparisons.
• Watch out for: Allowing recurring buying objections to remain trapped in 1-on-1 communication channels, which wastes team capacity answering identical inquiries repeatedly.

Audit your last 50 sales conversations to identify top buyer questions, then document verified company answers to prepare your initial 7-day repository deployment.