The problem with AI-generated content isn't that it's bad — it's that it's inconsistently bad in ways that are hard to spot at volume. One post sounds exactly like you. The next sounds like a press release from 2018. Without a consistent review gate, those inconsistencies accumulate into a brand voice problem.
This checklist assumes you're using AI to draft at scale and humans to review before publishing. Work through it in order — voice first, accuracy second, format third, engagement last.
1. Voice and tone check
- Does the opening sentence sound like something your brand would actually say, or does it read like a generic AI opener? ("In today's competitive landscape" is a fail. Delete and rewrite.)
- Run the "read it aloud" test: if it sounds stilted or formal in ways your brand isn't, the AI defaulted to a safe register. Flag it for a tone rewrite.
- Check for hedging language — "it's important to note," "it's worth mentioning," "of course." AI uses these as filler. Your brand probably doesn't.
- Verify the vocabulary matches your established style. If your brand writes in plain language and the output is full of "leverage" and "synergy," the prompt didn't constrain the model enough.
2. Factual accuracy check
AI models hallucinate statistics, misattribute quotes, and confidently state outdated figures. Any specific claim in AI-drafted content needs a source before it goes live.
- Any statistic with a specific number: verify the source. If you can't find it in 60 seconds, remove it.
- Any attributed quote: confirm it's real, attributed correctly, and in context.
- Any product claim about your own brand or a competitor: double-check it against current product pages. AI training data goes stale.
- Any "recent study" or "new research" reference: AI frequently references studies that don't exist or conflates multiple studies into one fictional source.
Fast rule: if you can't verify a claim in under two minutes, cut it. The post works without it. A retraction costs far more than the engagement the stat would have driven.
3. Platform formatting check
AI drafts optimized for general readability, not platform-specific formats. A LinkedIn post and an Instagram caption have different structural requirements, and a single output rarely works for both without edits.
- Character count: verify the draft fits the platform without truncation. Instagram captions cut off at 125 characters in the feed preview. X has a 280-character limit. LinkedIn shows a "see more" at around 210 characters.
- Line breaks and white space: LinkedIn performs better with single-sentence paragraphs and deliberate spacing. Instagram posts often use line breaks between every sentence. Does the draft match the platform norm?
- Hashtag placement and count: AI often appends hashtags in a block. Verify you're using the right number for the platform (3-5 for LinkedIn, up to 15 for Instagram, minimal for X).
- CTA placement: the call to action should appear before the "see more" cutoff on feed-based platforms, not at the bottom of a long post.
4. Engagement signal check
AI tends to produce complete, well-rounded posts. Engagement, paradoxically, often comes from posts that are intentionally incomplete — they create a gap the reader wants to close.
- Does the first line create curiosity or state something mildly surprising? If it opens by summarizing what the post is about, it's going to scroll past.
- Is there a single clear point of view? AI often presents "on the one hand / on the other hand" content that takes no position. Opinionated posts generate more comments.
- Does the post invite a response — explicitly or implicitly? A question, a contrarian take, or a statement that invites disagreement all drive comment volume.
- Would you personally stop scrolling for this? Apply the honest scroll-stop test before approving.
5. Final read: the "would I be embarrassed?" test
After running all four checks, do a final cold read as if you're a new follower seeing this brand for the first time. Would you find this useful, interesting, or worth sharing? Or would you clock it as AI-generated filler in two seconds?
Postify's review flow keeps all of this in one place — you can see the draft, edit inline, and approve or push back to the queue without switching between tools. The checklist above works as a mental framework whether you're reviewing in Postify or in a Google Doc.
The takeaway
AI drafts should make your team faster, not noisier. The quality gate is where the value is protected. Voice, accuracy, format, and engagement — run through all four before anything goes live, and you'll catch 90% of the issues before your audience ever sees them.
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