Editorial QA Scorecard: A Rubric for AI + Human Writing
A lightweight editorial QA scorecard for AI-assisted content: sourcing, structure, duplication control, metadata, internal linking, and technical checks.
A scorecard creates consistency: writers know the requirements, editors review faster, and quality stays stable as output scales.
TL;DR (Key takeaways)
- A QA scorecard makes governance enforceable: the same checks happen every time.
- Keep requirements rooted in primary guidance on helpful, reliable content and spam policies. (Creating helpful content) and (Spam policies)
- The scorecard should include editorial checks (sources, structure) and technical checks (canonicals, robots directives, schema).
What we know (from primary sources)
Google’s helpful content guidance and spam policies provide practical constraints for content production systems. A QA scorecard is a way to translate those constraints into concrete checks. (Helpful content)
The scorecard (copy/paste template)
Score each item Pass/Needs work. If 3+ items fail, don’t publish.
1) Sourcing
- All meaningful factual claims have reputable sources.
- No invented quotes, dates, or numbers.
- Sources are linked inline and summarized at the end. Citation pattern
2) Structure and clarity
- Clear H2/H3 structure; skimmable sections.
- TL;DR bullets at the top.
- “What we know” vs “analysis” clearly separated.
3) Duplication control
- Primary keyword is unique (no cannibalization).
- Title/slug are unique and not near-duplicates.
- Canonicals/noindex used intentionally when relevant. Canonicals and Meta robots
4) Internal linking
- 2–4 relevant internal links to existing posts.
- At least 1 link to a hub post (workflow, technical, schema, or measurement).
5) Metadata and images
- Unique meta title and description.
- Hero image present but not heavy; alt text descriptive, not stuffed.
6) Technical baseline
- Page is indexable when it should be (robots directives correct).
- Structured data is validated when applicable. Schema testing workflow
- Fits your overall baseline checklist. Technical SEO checklist hub
What’s next
Put this scorecard into your process:
- Use it as an editorial approval gate.
- Use it as a PR review checklist if content is shipped through code.
- Anchor the full workflow here: AI-assisted content workflow hub.
Why it matters
Content quality problems at scale are usually process problems. A scorecard gives your team a shared definition of “ready to publish,” which keeps SEO outcomes stable as AI increases throughput.
For AI search context, see AI & SEO trends.