Q-15 AI-generated content is not exempt from quality standards

Why it matters

Content produced with AI can still contain factual errors or repeat what already exists, and readers pay for that when no one checks it. Google's spam policies and its guidance on helpful content apply to content whatever tool produced it. A disclosure that does not match the real workflow adds a further trust problem.

How to implement

1. Use AI for research, drafting and data processing, and verify every factual claim.
2. Put a human or agent quality gate in front of publishing and remove fully automatic publishing.
3. State on the methodology page which steps use AI.
4. Write any human verification claim so that it matches the real process.
5. Sample AI-produced URLs regularly for factual errors, duplication and originality.

Checklist

• Use AI for research, drafting and data processing.
• Verify factual claims.
• Do not publish automatically without a human or agent quality gate.
• State on the methodology page which steps use AI.
• If there is human verification, describe it in a way that matches the real process.
• Describe the operation without turning the disclosure into a marketing slogan.

How to audit

• Run a sample audit of AI URL cohorts for factual errors, duplication and originality.
• Compare the disclosure text with the real workflow.

Related controls

• Q-08 Freshness signals must reflect real substantive updates P1
• Q-14 Case studies must carry a measurable evidence chain P1
• Q-13 Calculators and selectors must deliver real utility P1
• Q-12 Comparisons must use shared criteria and real trade-offs P1
• Q-11 First-hand experience claims must be backed by evidence P1

Myth guards that reference this control

• “Content written with AI cannot rank on Google”

Sources

• [G2] Creating helpful, reliable, people-first content
• [G3] Optimizing for generative AI features on Google Search
• [G4] Google spam policies