Making AI content sound human doesn't make it good content. Many businesses now generate articles with ChatGPT and other tools, then pay an editor to hide the signs. The result reads more naturally, but it is rarely more useful, because the biggest problem was never how the article was written. It was what the article actually said.
Why AI humanisation became a service
I understand why businesses are doing this. AI content is cheaper, faster and can be produced at volume. Humanisation is the obvious next step: take the draft, remove the tells, and publish something that doesn't read as though a machine wrote it.
But that treats the symptom rather than the problem. Sounding human and being worth reading are two very different things.
The real problem is what the article says
I've worked on and read plenty of articles where the biggest problem wasn't how they were written. It was what they actually said.
A 2,000-word article might be grammatically on point, well-structured and optimised for the right keywords. But when you read it properly, you realise it could have made exactly the same point in 500 words. Sometimes it doesn't offer any value at all, or says nothing that hasn't already been said hundreds of times.
Editors can spend hours removing obvious AI phrases and em dashes, varying sentence structures and improving the flow. The result might sound more natural, but none of those changes make the content any more valuable.
Good editing is mostly deciding what to cut
When I edit AI-generated content, I'm often more interested in what needs to be removed than what needs to be rewritten. The same questions apply to every piece:
- Does this paragraph actually contribute anything of value?
- Is this information accurate?
- Are we explaining something the reader genuinely needs to understand, or including it because every competing article covers the same subject?
Answering them takes more than being able to write. You need to understand the subject, know who you're writing for and have a clear idea of what actually needs to be said.
Sounding human is a low bar for content that has to win customers
There's also a commercial point. If you're investing in content to attract potential customers, sounding human is a fairly low bar. You need to show that you understand their problems and have something useful to contribute.
That might mean interviewing someone within the business, challenging the original brief or recommending an entirely different approach to the article. Sometimes it means telling a client that the content they're planning to publish probably isn't worth producing.
Where AI fits
AI is an incredibly useful tool, and I use it myself. But I don't think the value of a professional writer should be measured by how effectively they can hide its output. I'd much rather see businesses invest in proper editorial work, supported by AI where it genuinely saves time.
If this article disappeared from the internet tomorrow, would anyone actually be missing something useful?
That is the question worth asking before anything goes live. If the honest answer is no, no amount of humanisation will fix it. If you want content that passes that test, that is exactly what our SEO copywriting work is built around.
Frequently asked questions
What is AI humanisation?
AI humanisation is editing AI-generated text so it reads as though a person wrote it: removing typical AI phrases and punctuation, varying sentence length and smoothing the flow. It changes how an article sounds, not what it says, so it does not make thin or repetitive content any more useful.
Should businesses stop using AI to write content?
No. AI is a genuinely useful tool and saves time on research, outlines and first drafts. The mistake is using it to produce volume and then disguising the output. It works best supporting editorial work: deciding what a piece should say, checking accuracy and cutting what adds nothing.
How can you tell if an article is worth publishing?
Ask whether anyone would miss it if it disappeared tomorrow. If it only repeats what competing articles already say, the answer is no. A piece is worth publishing when it answers a real question for a specific reader, is accurate, and says something they could not easily find elsewhere.