Content Generation Testing & Quality Control

Scaling content generation with AI requires automated quality gates that catch issues before publication. 1. **Brand voice scoring** — Define 3-5 dimensions of your brand voice (e.g., professional, approachable, authoritative) and score generated content on each. Use a rubric with examples of each score level so evaluation is consistent. 2. **Factual verification** — For content that makes claims or cites statistics, cross-reference against your approved fact database. Flag any claims not found in verified sources. This is critical for regulated industries. 3. **SEO validation** — Check that generated content includes target keywords naturally, has proper heading structure, and meets minimum word count thresholds. Automated checks catch the 80% of SEO issues that are structural. 4. **Originality scoring** — Compare generated content against your existing published content and common web sources. High similarity to existing content risks duplicate content penalties and adds no value.

// Brand voice evaluation criteria
{
  dimensions: {
    tone: {
      target: "professional yet approachable",
      fail: "overly casual or stiff corporate"
    },
    accuracy: {
      target: "all claims backed by sources",
      fail: "any unverified statistic"
    },
    readability: {
      target: "Flesch score 60-70",
      fail: "below 50 or above 80"
    }
  }
}