How Do You Check AI-Written Marketing Content Before Publishing?

Check AI-written marketing content by identifying every factual claim, comparing it with an original source, and removing anything you cannot support. Then test the links, confirm the offer details, and assign a person to approve the exact version that will go live. Use the checklist below to turn a promotional draft into copy you can confidently authorize.

AI content fact-checking is the process of comparing AI-generated statements with reliable evidence before publishing them.

Keep this review separate from polishing sentences. Your question is not “Does this sound convincing?” It is “What evidence lets us say this?”

The NIST Generative AI Profile identifies confabulation—confidently presented erroneous or false content—as a generative AI risk. Treat an AI draft as material to investigate, not as its own evidence.

What should you check in a promotional paragraph?

Consider this hypothetical, deliberately unverified draft for a small business offering a scheduling service:

“Our scheduling service eliminates missed appointments, works with every calendar app, and includes free setup. Start today with no contract. Join the most trusted scheduling service in your area.”

Do not publish this example. It contains claims to investigate, not established facts about a real business.

Start your review in this order:

1. Mark factual claims: Highlight outcomes, features, comparisons, prices, terms, and availability.
2. Find original evidence: Match each claim with an approved record or authoritative source.
3. Resolve unsupported wording: Verify it, narrow it, remove it, or hold publication.
4. Test the publishing details: Open links and compare the draft with its destination.
5. Assign final approval: Record who approved the final version and when.

Include headlines, captions, image text, and button labels in the same review. Do not limit the check to the main paragraph.

How do you identify every factual claim?

Split the paragraph into individual statements. Ask whether a reader could reasonably expect proof for each statement.

For the hypothetical draft, create this claim inventory:

Draft wording	Evidence to request	Initial decision
“Eliminates missed appointments”	Evidence supporting that absolute outcome	Hold or remove
“Works with every calendar app”	Current compatibility documentation covering the claimed scope	Hold or narrow
“Includes free setup”	Approved pricing and setup terms	Verify
“Start today”	Current onboarding availability	Verify
“No contract”	Current customer agreement and cancellation terms	Clarify
“Most trusted”	Relevant evidence supporting the comparison	Hold or remove

Look beyond obvious performance promises. Treat words such as “free,” “every,” “guaranteed,” and “instant” as prompts for closer inspection.

Ask what the wording implies, too. For “no contract,” investigate whether the actual offer means no minimum commitment, cancellation at any time, or something else. Use the precise approved term instead of choosing the most appealing interpretation.

How do you check claims against original sources?

For each claim, record the source, the supporting passage, the reviewer, and the review date. Add a status: verified, needs clarification, removed, or blocked.

Use evidence suited to the claim:

• Your own offer: Approved pricing records, service terms, product documentation, and confirmation from the responsible owner.
• Another product’s features: The provider’s current official documentation.
• Research findings: The original study or report, including its methods and limitations.
• Advertising requirements: Applicable regulator guidance, with qualified advice when needed.

Open each source yourself. Locate the exact passage that supports the wording rather than accepting a citation supplied with the draft.

Check scope carefully. Does the evidence concern the same product, customer group, location, and conditions? If a document lists supported calendar apps, use that list to verify compatibility; do not expand it into “every calendar app.”

For U.S. advertising, the FTC’s Advertising FAQs explain that advertisers must have evidence supporting advertising claims before ads run. Use that guidance as a starting point, not as a substitute for advice on regulated or high-risk claims.

If sources disagree, pause the claim. Ask the person responsible for the product or policy to resolve the discrepancy and document the approved answer.

What should you do with unsupported promises?

Choose a clear action for each unresolved statement:

• Verify: Obtain evidence that supports the exact wording.
• Narrow: Describe only the feature or condition the evidence establishes.
• Remove: Delete a claim that is unnecessary or unsupported.
• Hold: Stop publication when an unresolved detail is essential to the offer.

Do not replace “eliminates missed appointments” with “may eliminate missed appointments” and call the review complete. Require evidence for the revised statement as well.

For this hypothetical example, suppose the owner confirms only that the service offers online appointment booking and that the linked page accurately describes setup and supported calendars. A conditional rewrite would be:

“Let customers book appointments online with our scheduling service. Review the supported calendars and setup options, then contact us to discuss getting started.”

Use this rewrite only if those assumed details are verified. It intentionally drops the unsupported outcome, broad compatibility claim, free-setup promise, immediate availability, and trust comparison.

After the accuracy pass, use the separate guide to keeping AI-written copy in your brand voice for wording refinement. Recheck any factual statement changed during that edit.

How do you review links and publishing details?

Open every link from the publishing preview. Check the destination, not just whether something loads.

Confirm that:

• The button leads to the intended product, booking page, or form.
• The destination matches the offer described in the copy.
• Any price, eligibility condition, deadline, or availability statement agrees across both places.
• Tracking parameters preserve the intended destination.
• Forms and confirmation messages describe the same next step.
• Placeholder text, drafting notes, and unfinished links are removed.

For the sample paragraph, inspect the supported-calendars page and setup information before approving the rewrite. If either page is missing or unclear, fix the destination or change the copy.

For email, check the subject line and preview text against the verified offer, too. Keep performance experimentation separate from factual approval; the guide to testing AI-generated email subject lines addresses that next task.

Who should give final approval?

Assign a named approver rather than relying on “the team.” For a solo business, make approval a deliberate second pass after drafting.

Use this reusable release checklist:

• Every factual claim has supporting evidence or has been removed.
• Unresolved essential details block publication.
• Links, forms, and offer terms have been checked.
• The approver has reviewed the actual publishing preview.
• The approved version, review date, and evidence record are saved.
• Later factual edits trigger another review.

Record approval with a note such as: “Approved for publication by [name] on [date]; final version saved at [location].” Set a reminder to revisit time-sensitive details when their source information changes.

For further education, consider Web Media University’s Professional AI Marketing Certification, a professional AI marketing certification program.

Your release rule should be straightforward: no unsupported promise, no unresolved essential offer detail, and no publication without a named final approver.

Get certified with Web Media University’s Professional AI Marketing Certification. — Join the membership