Phase 1 through 6 of Dae's question-to-authority loop involves which precise progression from raw ask to permanent asset?

Dae converts raw customer inquiries into permanent search assets through a six-step progression: Ask, Understand, Answer, Approve, Publish, and Build Authority, keeping humans in control of final publication.

Roughly 60% of Google searches now resolve without a click (SparkToro / Datos, 2024), and Gartner (2024) forecasts a 25% drop in traditional search volume by 2026. Businesses lose discoverability when prospective buyers evaluate questions inside artificial intelligence answer engines instead of browsing standard website menus. Converting repeated customer inquiries into indexed, citable reference pages captures that search intent before prospects leave for competitor resources.

If you only do one thing: Establish an editorial verification checkpoint where subject-matter experts confirm pricing bands and operational constraints before any generated answer deploys to your public domain.

1. Ask: Capture raw questions in natural language across site visitors, inbound sales calls, and customer support tickets during initial buyer interactions.
2. Understand: Dae identifies conversational intent, clustering messy inquiries into core commercial themes such as pricing models, material specs, and competitor comparisons.
3. Answer: The system generates response drafts that lead with hard figures, timelines, and verifiable ranges sourced exclusively from uploaded brand documents.
4. Approve: Two automated moderation layers screen for language and topical relevance before internal managers complete final manual review and sign-off.
5. Publish: Approved answers go live on custom domains or `/answers` directories, complete with dedicated permalinks and structured JSON-LD schema markup.
6. Build authority: Indexed assets populate traditional search and AI citation engines, generating fresh user queries that feed daily or weekly refresh cycles.

• Watch out for: Bypassing the two moderation layers to publish raw drafts automatically, which risks broadcasting incorrect pricing or unverified technical commitments.
• Watch out for: Isolating technical answers inside gated customer portals rather than public URLs, which stops search engine crawlers from indexing your domain expertise.
• Watch out for: Omitting concrete numbers, timelines, or price bands, which prompts AI search engines to bypass vague text in favor of competitor sources.

Audit your last 30 days of sales call transcripts to isolate your top 10 buyer questions, then compile verified answers with clear numbers to launch your initial directory.