How We Review Every AI Output: A 6-Step Checklist
I’ve Edited AI Copy for a Decade. Here’s the 6-Step Checklist That Keeps My Brand Out of Trouble
How We Review Every AI Output: A 6-Step Checklist

I’ve Edited AI Copy for a Decade. Here’s the 6-Step Checklist That Keeps My Brand Out of Trouble
I once watched an experienced marketer publish a post with a statistic that simply didn’t exist anywhere.
The writing was polished. The argument was persuasive. The tone was confident.
There was just one problem: the AI had invented the number, and nobody caught it before it went live.
That’s the moment it clicked for me. Generating content isn’t the hard part of this job anymore. What happens after generation is.
Why Reviewing Matters More Than Writing
After more than ten years running content teams, I’ve landed on one truth: writing was never the hard part. Judgment was.
AI changed who produces the first draft. It didn’t change who’s accountable for the final one.

That responsibility still sits with you. With your team. With the name attached to the piece.
When I review something AI wrote, I treat it the same way I’d treat a junior writer’s first pass — talented, fast, occasionally brilliant, and frequently wrong in ways you won’t notice on the first read.
Step One: Delete the Opening Paragraph
AI needs a few sentences to warm up before it actually says anything useful. Almost without exception.
The real substance usually kicks in two or three sentences later. Everything before that is throat-clearing.
I’ve deleted hundreds of these opening paragraphs over the years. Not once has anyone missed them.
This isn’t just a style preference — it’s strategy. The first few seconds of attention a reader gives your article are the most valuable thing you have. No brand can afford to waste that window on a warm-up sentence, not in a feed where people scroll past in under two seconds.
Step Two: Strip Out the Filler
“In order to” becomes “to.” “Utilize” becomes “use.” “It’s important to note that” just disappears entirely.
AI pads sentences because padding feels safe. Cutting that padding takes confidence — confidence that the idea can stand on its own without scaffolding.
I tell newer people on my team a simple rule: if the sentence survives without a word, that word didn’t belong there. This one habit sharpens clarity faster than almost any other edit I make.
Step Three: Read It Out Loud
This is the step most people skip. It’s also the one that catches the most problems.
If a paragraph sounds stiff when spoken, it reads stiff on the page too. Your ear picks up rhythm issues your eyes glide right past.
I learned this long before AI was part of anyone’s workflow. Reading copy aloud was how we used to catch awkward phrasing in print ads before they went to press. The principle hasn’t aged a day. If you wouldn’t say it out loud in a meeting, don’t publish it in an article.
Step Four: Verify Every Specific Claim
This is where I get strict. No exceptions.
AI makes things up. Names, statistics, claims, dates — anything specific is a risk until someone verifies it.
I’ve seen confident, beautifully written paragraphs cite numbers that turned out not to exist anywhere. Writing quality and factual accuracy are two completely separate problems, and AI only reliably solves one of them.
If you can’t source it, cut it. That one rule alone has saved me from publishing a correction more than once.
Why This Matters Even More in B2B
In B2B marketing, trust isn’t a nice-to-have — it’s the actual product. Buyers do extensive research long before they ever talk to sales.
A single fabricated statistic in a blog post can undo months of credibility-building. I’d rather ship a shorter article built on verified claims than a longer one padded with invented authority.
Step Five: Rewrite the Hook and the CTA Yourself
AI handles the middle of a piece reasonably well. Structure, transitions, logical flow — it’s competent at all of that.
The opening and closing are a different story. Those are the highest-leverage lines in any piece of content, and they deserve human instinct, not a model’s statistical average.
Your hook decides whether someone keeps reading. Your CTA decides whether that reading turns into action. I never hand either one off, no matter how strong the rest of the draft is.
This is also where brand voice actually lives. The middle of an article can sound fairly generic and still do its job. The opening and closing lines are where personality either shows up or it doesn’t.
Step Six: Ask Yourself — Would I Actually Send This?
Not “is this good enough.” That’s a low bar, and honestly the wrong question entirely.
Would you put your name on it? Would you send it to a client, a board member, your harshest critic?
If the honest answer isn’t yes, keep editing. I run this test on everything my team publishes, AI-assisted or not. It’s blunt, but it works.
What This Process Is Really Protecting
People assume editing AI output is about catching errors. It’s actually about protecting positioning.
Every brand is competing on trust now, especially in crowded B2B categories where buyers struggle to tell vendors apart. Sloppy, unverified, robotic-sounding content erodes that trust quietly, one piece at a time.
A six-step checklist sounds simple. It is simple. But simple doesn’t mean optional, and it definitely doesn’t mean fast — discipline rarely is.
I’d rather publish one sharp, verified, human-edited piece a week than five mediocre ones that technically shipped faster. Speed without judgment isn’t a strategy. It’s just exposure.
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