How Do You Edit AI-Written Copy Properly?

Editing AI-written copy properly means checking every factual claim first, because AI states falsehoods as confidently as facts. Then test whether the argument actually holds together, rewrite for voice until it sounds like a person rather than a model, and line-edit it exactly as hard as you’d edit your own first draft.

Fact-Check Before You Do Anything Else

AI-generated text has no idea whether what it’s telling you is true. It knows what a true-sounding sentence looks like, which is a different thing entirely, and the two are indistinguishable on the page. Treat every name, date, statistic and quoted claim in an AI draft as unverified until you’ve checked it against a real source yourself. If the fact-check pass takes you less time than it would have taken to write that paragraph from scratch, you almost certainly haven’t checked it properly.

Test Whether The Argument Actually Holds

AI drafts are very good at sounding like they’ve made a point without quite committing to one. Read the piece and ask what it’s actually arguing, in one sentence. If you can’t answer that easily, the draft hasn’t made an argument, it’s produced a plausible arrangement of sentences about the topic. That’s the part editing has to fix, and it’s also the part that can’t be delegated back to another AI pass, because generating a firmer-sounding version of a point that was never really made just makes the problem harder to spot.

Rewrite For Voice, Not Just For Correctness

A draft can be factually sound and structurally fine and still read like nobody in particular wrote it. Go through it looking for the sentences a competitor’s AI-assisted piece on the same topic could just as easily have produced, and rewrite those specifically. A rough test that works well: if you removed your publication’s name from the piece, could a reader still tell it was yours? If not, voice hasn’t been edited in yet, only checked for errors.

Give It The Same Line Edit You’d Give Your Own Draft

The single biggest mistake editorial teams make with AI copy is editing it more lightly than they’d edit a colleague’s first draft, on the assumption that a machine’s version needs less work because it arrived polished. Polish and quality aren’t the same thing. Read it aloud, cut what’s flat, add what’s missing and challenge every claim exactly as you would if a junior writer had handed it to you an hour ago.

A Quick Test For Whether You’ve Actually Edited It

Once you think a piece is done, ask yourself one question honestly: could you explain, out loud, what you changed and why, for at least 5 separate decisions in the piece? If you can only point to a couple of typo fixes, you’ve proofread it, not edited it. Proper editing leaves fingerprints, a cut paragraph, a rewritten opening, a fact you double-checked and corrected, a claim you softened because the source didn’t quite support it. A piece with no fingerprints on it hasn’t been edited by a person, whatever the byline says.

What “Properly” Actually Costs In Time

Teams often expect AI to cut editing time roughly in half, since a draft already exists. In my own experience, properly fact-checked and voice-edited AI copy takes close to as long to edit as it would to write from scratch, because the time saved on typing gets spent on checking. The genuine saving isn’t in the editing stage at all, it’s in getting past the blank page faster at the start. Budgeting editing time as though the draft arriving pre-written makes the job quicker is how corners end up cut without anyone deciding to cut them.

Don’t Let AI Check Its Own Work

A tempting shortcut is asking a second AI tool to fact-check the first draft. It’s better than nothing, but it isn’t the same as human verification. A model checking another model’s claims is still working from patterns in text rather than from reality, so a confidently wrong fact can sail through a fact-check pass that’s also just generating fluent-sounding text. The check that actually protects you is a person going to a primary source, a real document, a real number, a real person who can confirm it, not another layer of the same kind of guessing.

This is one of five questions answered in the full guide, AI Should Draft, Humans Should Craft: Where The Line Sits In An Editorial Team.

If you’re watching all of this happen and wondering how to make AI work for your business, book a call with me today – I train and consult businesses and teams to use AI with confidence, skill and intention.