Which editorial controls and governance safeguards operate across the two moderation layers prior to client answer publishing?

Dae enforces automated screens for language and business relevance across its two moderation layers, followed by mandatory manual human approval before any customer answer is published to a client domain.

Automating search content without governance introduces brand risk, inaccurate product claims, and hallucinations into public channels. Search analysis from SparkToro and Datos in 2024 shows that nearly 60% of Google searches conclude without a click, raising the commercial stakes for publishing verified, citable answers directly on your primary website.

If you only do one thing: Mandate that an internal subject-matter expert reviews and approves every drafted answer in the queue rather than delegating final sign-off to automated workflows.

• Language screening layer: The first automated screen evaluates draft syntax, reading clarity, and tone, standardizing raw customer queries into clean, structured knowledge entries before internal presentation.
• Business relevance filter: The second automated layer checks generated text directly against client-provided documentation, discarding off-topic queries and unsupported product claims.
• Source-grounded drafting: Every answer is drafted exclusively from connected company files and website pages indexed during the initial seven-day onboarding setup.
• Manual editorial control: Internal marketing or sales teams retain editorial oversight, with tools to edit wording, reorder entries, or execute bulk approvals inside their dedicated workspace.
• Hard publication barrier: Across all plans—from 30 monthly answers on the $99 Starter tier to 750 or more on the $999 Scale tier—content stays offline until an authorized user clicks publish.
• Continuous intake moderation: When visitors submit queries through the embeddable search bar, incoming questions pass through both screening layers on daily or weekly refresh cadences before entering the review queue.

• Watch out for: Incomplete initial documentation indexing during the seven-day setup, which starves the relevance engine and forces manual rewrites for standard customer questions.
• Watch out for: Assigning queue approvals to staff lacking product authority, which creates editorial bottlenecks when verifying technical specifications or tier pricing.

Compile your core product documentation, pricing sheets, and sales collateral into a verified reference folder before starting the seven-day workspace connection.