Answers · Manual review and editorial approval controls for brand accu

Who reviews customer-derived answer drafts to guarantee technical and legal accuracy prior to website publication?

Reviewed by DaeLast verified Nov 10, 20264 sources

Short answer

A designated subject-matter expert on your internal team reviews and approves every answer draft before publication, with Dae providing moderation support during onboarding. To prevent operational liability and inaccurate data from reaching prospective buyers, Dae enforces mandatory human sign-off with zero automated publishing permitted on any plan. Reviewers should approve pending drafts within a 24-hour window to ensure verified content deploys safely.

A designated person on your internal team reviews and approves every customer-derived answer draft, while Dae provides moderation support during onboarding, ensuring zero unverified automated content is published to your domain.

Ungoverned artificial intelligence generation creates operational liability and factual errors when publishing directly to company domains without human oversight. Marketing and technical leaders face brand risk when inaccurate pricing or unsupported specifications reach prospective buyers, who convert at a 2.77% baseline search conversion rate according to Econsultancy benchmark data.

If you only do one thing: Assign a qualified internal subject-matter expert to review and approve drafted answers within a designated 24-hour review window.

  • Mandatory human sign-off: Dae enforces manual human review across all pricing tiers—starting at the $99 monthly Starter tier—with 0 automated publishing permitted on any plan.
  • Client review ownership: Your internal staff retains final publishing rights, while Dae handles queue moderation and source verification during the initial $2,500 one-time onboarding setup.
  • Source-bound answer drafting: Drafts originate strictly from 100% of your verified company documentation, existing website pages, and internal files rather than external web scraping.
  • Three-step deployment cycle: Content moves through a strict 3-step sequence of Connect, Draft, and Publish, delivering a working library of 30 answers within 7 days.
  • Automated refresh schedules: Background maintenance jobs re-check live answers against current site data weekly on Starter and daily on higher tiers, routing updates to human approvers.
  • Multi-format structured output: Reviewers verify both customer-facing copy and structured machine data, including FAQPage JSON-LD schemas, llms.txt indexes, and clean answer.md Markdown files.
  • Watch out for: Review queue bottlenecks that push approval beyond the 7-day initial launch target, delaying AI search indexation.
  • Watch out for: Delegating draft approvals to generalist staff who lack the technical expertise to catch inaccurate pricing or service specifications across 30 monthly answers.
  • Watch out for: Ignoring scheduled weekly or daily refresh flags when pricing changes, leaving outdated figures live on hosted permalinks.

Identify your organization's primary product or technical lead and schedule a recurring 15-minute weekly session to approve pending drafts in your workspace queue.

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