mkt-quality-gate

Iterative marketing copy revision works by auto-assembling a panel of 7–10 domain experts, scoring the draft against weighted criteria, and rewriting content for up to 3 rounds until all experts rate it 90+.

An AI writing detector prevents robotic landing pages by applying a 1.5x weight multiplier to the artifact's score, flagging known-bad styles and AI writing tells to enforce humanized revisions before publishing.

Yes, you can use a CI/CD-style quality gate to filter marketing drafts. Accompanying scripts provide batch scoring and automated filtering to block low-quality content from going live.

An expert panel scoring system evaluates marketing copy, email sequences, landing pages, titles, strategy and analysis docs, charts, visuals, and recruiting or vendor evaluation content.

The quality gate stops revising after a maximum of 3 rounds. If the weighted criteria still do not reach the 90+ target, it outputs the final format with the iteration trail and feedback-to-source guidance.

Providing artifact context and content type is required for content quality scoring because the system uses these inputs to assemble the correct repository references, rubrics, and domain experts for accurate evaluation.