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How Do I Fact-Check AI-Generated Website Content?

Fact-check AI-generated website content by turning every checkable claim into a source task, verifying it against primary evidence and recording what was reviewed.

By afterworks.space6 min read
Paper-built editor traces draft claims through labelled evidence drawers to authoritative source documents

Part of our guide: How to Use AI for Website Content Without Losing Trust or Quality

Check each factual claim in AI-generated website content against evidence, however precise or convincing the wording sounds.

Start with the original sources. Check that they exist, say what the draft claims and still apply in the relevant place and date. Then record the source and review decision so the same claim can be maintained later.

The AI can help organise the work. It should not be the sole authority used to verify its own output.

What counts as a factual claim?

Mark statements a reader could reasonably expect to be true or false.

These include:

  • Prices, percentages and statistics.
  • Dates and historical statements.
  • Laws, standards and official requirements.
  • Product features and technical capabilities.
  • Service areas, opening hours and response times.
  • Qualifications, memberships and awards.
  • Customer numbers and performance results.
  • Quotations and attributed opinions.
  • Claims about competitors or named organisations.
  • Health, financial or safety information.

Also check implied claims. “Trusted across the county” implies evidence even though it contains no number.

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Create a claim list before editing the prose

Copy each checkable statement into a simple review table with columns for:

  • Claim.
  • Risk level.
  • Required source.
  • Source link or internal record.
  • Date checked.
  • Reviewer.
  • Decision or corrected wording.

This separates verification from stylistic editing. Otherwise a confident paragraph can encourage the reviewer to skim past unsupported details.

Give high priority to claims that could affect a purchase, safety, legal rights, eligibility or business reputation.

Prefer primary sources

Use the organisation responsible for the information wherever possible.

Examples include:

  • Legislation and regulator guidance for legal requirements.
  • A supplier’s current documentation for its features.
  • The business’s signed records for qualifications.
  • Original research for a statistic.
  • The customer’s approved testimonial for a quotation.
  • The booking system for availability rules.

A search result, AI summary or third-party article can help you find the source. It is not automatically evidence for the final claim.

Open the source and read the relevant section. Check whether it covers the UK, the correct product version and the current date.

Verify that the source supports the exact wording

Many errors are exaggerations rather than complete inventions.

A source saying a change “can improve” performance does not support “will double your sales”. A survey of 200 members of one trade body does not necessarily describe every UK consumer. A feature available on an enterprise plan may not exist on the package being discussed.

Ask:

  1. Does the source state this directly?
  2. Is the population or product the same?
  3. Is the information current?
  4. Is important context missing?
  5. Has correlation been presented as cause?
  6. Is a possibility being turned into a guarantee?

If the evidence is narrower, narrow the wording.

AI systems can produce plausible titles, authors, quotations and URLs that do not exist.

For every citation:

  • Open the link.
  • Confirm the publisher and page title.
  • Find the supporting passage.
  • Check the publication or update date.
  • Confirm that the quotation is exact if quotation marks are used.
  • Link to the direct source rather than a search-results page.

If you cannot locate the source, remove or replace the claim. Do not keep a citation because its format looks convincing.

Use the business as a source too

AI cannot know private operational facts unless the business supplies them.

Check website copy against people who own the relevant information:

  • Operations for delivery and response times.
  • Sales for qualification and pricing rules.
  • Technical staff for process descriptions.
  • Leadership for positioning and guarantees.
  • The data owner for customer or performance figures.

Ask for a record, not just a quick “looks fine”. A price sheet, policy, certificate or approved service document is easier to review later.

This is part of the broader reason human review still matters for AI content.

Handle uncertain claims explicitly

Not every useful statement has a single definitive source.

When evidence is mixed:

  • Attribute the view.
  • State the range or uncertainty.
  • Explain important assumptions.
  • Avoid false precision.
  • Separate experience from established fact.

“In our recent projects, this step usually took two to four working days” is more honest than presenting an internal observation as a universal rule.

For legal, medical, financial or regulated subjects, use an appropriately qualified reviewer. General fact-checking is not a substitute for professional advice.

Check the content in context

A sentence can be individually accurate and collectively misleading.

Review whether the page:

  • Omits a material limitation.
  • Uses an exceptional result as the normal expectation.
  • Combines figures from incompatible sources.
  • Describes an old policy as current.
  • Makes a competitor comparison on unequal terms.
  • Places a disclaimer where readers are unlikely to see it.

Read the finished page as a customer would, including headings, captions, tables and calls to action.

Keep an evidence trail

Record the sources used for important claims. For frequently changing information, include a review date and an owner.

A lightweight evidence record might contain:

  • The published wording.
  • Source URL or internal document.
  • Relevant date and jurisdiction.
  • Reviewer and approval date.
  • Next review date.

This makes future updates faster. It also prevents the next AI-assisted rewrite from silently replacing a verified claim with a more dramatic one.

A practical review sequence

Use this order:

  1. Highlight factual and implied claims.
  2. Remove claims that are unnecessary or impossible to support.
  3. Find primary evidence for the rest.
  4. Compare each claim with its source.
  5. Correct scope, date and certainty.
  6. Verify quotations and links.
  7. Ask subject owners to review private business facts.
  8. Read the complete page for misleading context.
  9. Record sources and future review dates.
  10. Approve the final wording, not an earlier draft.

AI can help extract a provisional claim list, but a person should still inspect the content and sources.

Check the evidence before publishing

Good website content does not need to sound timid. It needs claims proportionate to the evidence.

Use AI to draft, reorganise and identify possible gaps. Use primary sources and accountable reviewers to decide what the business can publish. When a claim cannot be verified, qualify it, replace it or remove it.

Read how to use AI for website content without losing trust or contact AfterWorks to plan a reliable editorial workflow.

  • AI content
  • Fact-checking
  • Content quality
  • Website trust
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