Quality and visibility

AI Content Quality Review: A Pre-Publish Checklist

AI should be a quality-control layer as well as a drafting tool. Every AI-assisted page needs a human review that checks the answer, the claims, the metadata and the author before it goes live. Google says the same.

ShoutEx Team · Data checked October 3, 2026
AI drafts. Humans verify. Then publish.B2B Content Marketing for founders · Data checked October 3, 2026
10
Checks before anything is published
100%
Of AI-generated claims needing human fact-checking
1
Real, named author or reviewer per page

How should you review AI-assisted content?

Check that it answers the question early, that claims are supported by primary or credible sources, that it’s specific to your buyers, that statistics, dates and product claims are verified, that metadata is accurate, that it doesn’t duplicate another page, and that the author is real. Google’s guidance says to manually fact-check and review all AI-generated content, including titles, meta descriptions, structured data and alt text (Google on using generative AI content).

What should the checklist include?

  1. Does the page answer the query early?
  2. Are claims supported with primary or credible sources?
  3. Is the advice specific to B2B SaaS, not generic marketing?
  4. Does it say when the advice doesn’t apply?
  5. Does it match your ideal customer and current product?
  6. Does it duplicate another page?
  7. Are the title, meta description, headings, links and call to action aligned?
  8. Are statistics, dates, product and customer claims verified?
  9. Does it include a concrete decision, framework or example?
  10. Is the author or reviewer real and accurately described?
Example · A review checklist in the CMS
cms.example/review/ai-security-reviews-guide
Pre-publication review70%

AI drafted · expert reviewed

Answers the question in the first paragraph
Claims linked to primary sources
Specific to B2B SaaS, with conditions where it doesn’t apply
Statistics and dates verified2 numbers need a source
Title, meta description and alt text reviewed
Real author and reviewer named
No duplicate of an existing pageOverlaps /security-faq
Why it works: the page can’t publish until unverified numbers and a possible duplicate are resolved. Fictional company and numbers.

Why do real authors matter?

Readers and reviewers want to know who wrote something and why they should trust it. Google’s people-first guidance asks ‘who, how and why’ for content (Google on people-first content). Fake authors, invented credentials or fabricated customer stories damage trust, and fake reviews or testimonials are now banned in the US (FTC rule on fake reviews).

Which content needs extra review?

  • Claims about your product, competitors or pricing.
  • Security, privacy and compliance content.
  • Regulatory, legal, tax or financial statements.
  • Customer outcomes and benchmarks.

Benchmarks need a methodology, as on content from product data. For pages about AI products, see AI washing.

Founder rule

Nothing ships without a named human.

AI can draft and pre-check. A real person checks claims and signs off.

How do you make review routine?

Make the checklist a required step in your CMS or project tracker, with a named reviewer. Use AI to pre-check the draft against the list, then a human signs off. The same list works for refreshes on the refresh system, and common traps are on AI content mistakes.

Frequently asked questions

How do I fact-check AI-generated content?

List every claim, check each against a primary or credible source, and have an expert review product and technical points.

Does Google penalize AI content?

Google targets low-value, unhelpful content and scaled abuse, not AI use itself. It asks you to fact-check AI content.

Do I need to review meta descriptions written by AI?

Yes. Google’s guidance includes titles, meta descriptions, structured data and alt text.

Should AI content have an author?

Yes, a real person who wrote or reviewed it, accurately described.

Can I use AI-generated testimonials?

No. Fake reviews and testimonials are deceptive; the FTC has banned them in the US.

What content needs the most review?

Product, competitor, pricing, security, regulatory and customer-outcome claims.

Sources & further reading

Standards and platform rules change. These sources let you verify the current requirements directly. All screens shown are mock-ups of fictional products.