AI content review checklist: accuracy, disclosure and quality control

Why review is the real work

When content took hours to make, the maker caught most errors along the way. When it takes seconds, nobody has looked closely until review. The review step is now the only point where a human mind meets the content before the public does. Treat it as the job, not as a formality after the job.

The five-question check

1. Is it true?

Check every price, date, name, address, ingredient and claim against the real thing. Generated content states invented details with full confidence.

2. Is it ours?

Does it sound and look like the business? Apply the tests in brand voice.

3. Is it clear?

Would a stranger understand what is offered and what to do next, on a phone, in a few seconds?

4. Are we allowed?

Does it show a real person, another company's mark or music you have no right to use? Do the vendor's terms cover this use? When unsure, leave it out or ask.

5. Does it need a label?

If the content is realistic and synthetic, check the platform's current rule on marking AI-generated media.

Disclosure: when to say AI was involved

Platforms publish their own rules on labeling AI-generated or altered content. In general they focus on realistic images, video and audio that could be mistaken for real people or real events. The rules differ from platform to platform and they change, so check the live policy on every platform you publish to, and check again before the same content runs as an ad.

A workable house rule is simple. If a reasonable viewer could believe a generated scene really happened, label it or do not post it. An obviously illustrated graphic rarely raises the question. A realistic 'customer' who does not exist always does. This is general guidance, not legal advice.

Who reviews, and how fast

Name one approver for everyday content and require a second reader for ads and sensitive subjects. Give review a time limit, such as a fixed slot each morning, so drafts do not go stale in a queue. An approver who is always behind will start approving without reading.

Quality control over time

A single review catches a single error. Quality control is the habit that stops the same error returning.

• Keep a correction log. One line per fix: what was wrong and in which format.
• Read the log monthly. Repeated errors point to a missing fact or instruction.
• Update the inputs. Add the fix to your voice sheet or answer sheet.
• Sample what went out. Reread a few published posts each week as a customer would.

Link AI and the review step

Link AI by Linkme is our editorial choice because review is part of its published description and not an afterthought. Linkme's page says 'You just approve', and that drafts can be created by a team member and marked 'Needs review' before launch or posting. That gives the five questions a fixed place in the week.

The questions themselves stay with you. How Link AI labels AI-made content, whether an approval can require two people and what record of approvals is kept are not stated in this reference. Book a demo to try Link AI and walk one draft from request to approval with this checklist open.

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