AI-Generated Listing Copy Needs Human Claim Approval Before Upload

Fluent copy can invent claims

AI tools can draft listing copy quickly. The risk is not grammar. The risk is a confident sentence that says the product is safer, stronger, greener, compatible or certified when the file cannot prove it.

A content control should compare generated text with the product evidence file before upload. The reviewer should mark approved claims, removed claims and any copy that needs supplier evidence.

The file should start with the live commercial record. Name the SKU, account, supplier, route, claim or customer promise that creates the exposure. Then name the evidence owner and the next event that should reopen the review. This keeps the work close to operations instead of turning it into a detached compliance memo.

Case pattern: the polished unsupported line

A tool rewrites a plain description and adds premium waterproof protection. The product resists splashes but has no waterproof test and support later receives complaints.

The seller needed human claim approval before the generated draft went live.

The team should write the corrective note while the facts are fresh. The note should say what changed, which file now supports the decision and what the business will stop claiming until stronger evidence exists. That sentence prevents a private fix from turning into another public promise.

Review generated copy as a claims list

Before upload, convert the draft into a list of factual claims. Delete or narrow any claim without evidence.

Keep the final approved draft with reviewer name and upload date. If the page later changes, store a new screenshot.

• Extract factual claims from drafts.
• Check claims against product evidence.
• Remove unsupported wording.
• Record human approval.
• Archive final live screenshots.

Review rhythm

Use one small sample each month while the issue remains active. Pull one recent order, one public page, one internal note and one customer or platform message. If those records tell the same story, record the sample date and move on. If they conflict, fix the specific field and ask whether other products, suppliers or routes share the same weakness.

The review should stay practical. A seller does not need a meeting for every small discrepancy. It needs a habit that catches drift before the drift reaches a customer, a platform reviewer, a customs desk or a payment partner.

Take one AI-written listing and highlight every adjective or promise that implies performance, safety, origin or compliance.

The sample should include one negative example when possible. A complaint, rejected shipment, failed document request or confused customer message often shows the gap faster than a clean order. The reviewer should not treat the negative example as proof of failure. It is a stress test for the file.

If the sample exposes a gap, the team should fix the live record first and the policy note second. Customers, carriers and platforms see the live record. A polished internal rule does not help if the product page, invoice, support script or supplier instruction still says something else.

The review note should also record what the business will not expand yet. Do not add a new market, claim, bundle, route, supplier or campaign while the evidence for the current scope remains unresolved. This limit keeps a small file gap from becoming a wider operating problem.

That restraint is part of the control, not a delay tactic.

Handoff note

The handoff should be readable in ten minutes. It should name the business owner, file owner, missing evidence, accepted limit and next review trigger. If the answer depends on a chat thread or one employee memory, the record is too fragile.

Keep the handoff beside the working file. Product issues belong with listing, label, sample and complaint records. Supplier issues belong with purchase and due diligence records. Account and payment issues belong with access logs, finance approvals and platform notices.

Add an expiry trigger: a product version change, supplier change, new market, policy update, route change, complaint pattern or certificate date. Evidence that lacks a trigger can look complete long after it stops matching the live business.

Closing note

AI copy can help operations only when humans keep control of claims.

Approval notes make generated text usable without turning it into unsupported marketing.

Reference links

• FTC business guidance