AI Content Audit: How to Make AI Sound Like You

For SME leaders who are already juggling sales, people, delivery, finance, operations and the daily theatre of running a business, AI seemed like the silver bullet.

You can create LinkedIn posts faster. You can write email campaigns faster. You can turn a rough idea into a blog, caption, newsletter or video script without sitting in front of a blank screen wondering whether marketing is supposed to feel this personally offensive.

And used properly, AI is genuinely useful. The problem is what happens when businesses quietly move from “AI can help us create better content” to “AI can create the content for us.”

Those two things are not the same, and the gap between them is where a lot of SME marketing is starting to drift into the beige zone.

The beige zone is where content is technically fine, but completely forgettable. The spelling is correct, the grammar is clean, the structure is neat and there is probably a sensible call to action sitting politely at the end. But it does not sound like a real person with a real opinion, real experience or anything particularly useful to say. It is smooth, safe, tidy and very easy to scroll past.

Why AI content becomes forgettable

AI is trained to be helpful, balanced and reasonable, which is brilliant when you need structure, clarity or a first pass on a messy thought. But marketing does not work on balance alone. Marketing needs judgement. It needs a point of view. It needs evidence. It needs the phrases, opinions and examples that make people think, “Yes, they understand exactly what we’re dealing with.”

That is where a lot of AI-assisted content falls down. It tells people what they already know, it saves us a bit of time and it creates consistency (even though safe and boring). 

Yes. Lovely. Nobody’s throwing a chair at that. But for an SME leader trying to make better decisions about marketing, it is not enough. They need to know what you have seen, what you believe, what you would challenge and what you would do differently.

If your content could belong to any business in your sector, it probably is not doing enough for yours.

AI can write content. But only you can give it meaning, voice, and trust.

Start with an AI content audit

Before you ask AI to create more content, use it to audit what you already have.

This does not need to become a ridiculous time-consuming task with a 47-tab spreadsheet, a dashboard nobody opens and six meetings called “alignment sessions.” You can start very simply.

Take your last five or six LinkedIn posts, captions, emails or blogs and put them in one document. Then read them as though you are a potential client who has never met you before.

Ask yourself: does this sound like us?

Those things matter, but they are not the first question. The first question is whether your content sounds like it came from a business with a clear point of view, or whether it came out of the great beige soup of the internet.

You are looking for the places where your voice has been flattened, where the wording sounds strangely polished but not particularly alive, where phrases appear that you would never say out loud, and where claims sound nice but do not actually mean very much.

Look for the AI tells

One of the biggest giveaways is repeated structure, the clipped sentences all going vertically (just like the format below).

You will have seen it everywhere:

Your voice. Your story. Your value.

Or:

Better systems. Better content. Better results.

Sometimes that structure works. The problem is when it starts turning up again and again across posts, captions, carousels and emails, because real people do not speak in perfectly trimmed little content blocks all the time.

We speak in sentences that move around a bit. We use commas. We add thoughts halfway through. We say things like, “I get it,” or “come on, we’ve all seen this,” because that is how people actually talk.

When AI has been allowed to over-tidy your content, the rhythm often becomes too neat. Everything starts to feel the same length, with the same pattern, the same helpful tone and the same polished little phrases. It is not necessarily wrong, but it is not particularly memorable either.

Other tells include repeated phrases, generic marketing language, big claims with no proof, overly polished wording, missing opinion, and anything that sounds as though it could belong to almost any business in your industry.

Words like “unlock,” “elevate,” “transform,” “empower,” “seamless” and “revolutionise” are not illegal, sadly, but they do need to earn their place. If your content keeps leaning on those words without showing what actually changed for a client, you are probably polishing fog.

Use AI as the mirror before the pen

The quickest practical shift is this: use AI as the mirror before you use it as the pen.

Most people go straight to the writing stage. They open ChatGPT or Claude and type, “Write me a LinkedIn post about AI and marketing,” then wonder why it sounds like every other LinkedIn post about AI and marketing.

Instead, ask AI to analyse what you have already published. Paste in your recent posts and ask it to identify where the content sounds generic, over-polished, too AI-assisted or detached from how you actually speak. Ask it to look for repeated phrases, samey sentence rhythm, weak claims, missing proof and phrases that sound like common AI output. Then ask it to show you the exact lines that create the problem, explain why they weaken the content and suggest more natural alternatives.

That gives you a pattern, and patterns are far more useful than vague panic.

If AI tells you that every post uses the same three-part structure, you know rhythm is the issue. If it tells you the claims are too broad, you know you need evidence. If it tells you the content is polished but not distinctive, that is the warning bell. Polished but not distinctive is exactly where content goes to become wallpaper.

Add the human overlay back in

Once you have audited the content, the job is not to throw everything out. The job is to put the human overlay back in.

That means adding your judgement, your examples, your rhythm, your proof and the line you would actually say on a call.

AI can make claims. You need to make them feel earned.

Instead of saying, “Many SMEs struggle with inconsistent marketing,” say something sharper and more specific, such as:

“We reviewed one SME’s LinkedIn activity and found they had posted 42 times in three months, but only six posts clearly linked back to what they actually sell. That is not a consistency problem. That is a clarity problem.”

That kind of detail works because it shows you have seen the problem in the wild. It is not theory in a nice jacket. It is experience.

For SME leaders, this matters because buyers are already sceptical. They do not need more content that sounds like it has been washed, dried, folded and stripped of all signs of human life. They need useful thinking from people who understand their world.

Start with your thinking, not a blank prompt

One of the best ways to make AI-assisted content sound more like you is to stop asking AI to invent the thinking.

Start with your own rough idea.

Record a two-minute voice note. Talk through what is annoying you, what clients keep asking, what you have noticed this week, what you think businesses are getting wrong and what you would tell someone if they were sitting across from you.

Then transcribe it and give that to AI.

The prompt changes completely. Instead of saying, “Write me a post about AI content,” you say:

“Here is a rough transcript of me talking through this idea. Turn it into a LinkedIn post, but keep my phrasing, rhythm, examples and point of view. Remove repetition, but do not remove personality. Keep the argument clear, but do not make it sound over-polished.”

That is a very different use of AI. You are no longer asking it to replace your thinking. You are asking it to organise it.

And that is where AI becomes genuinely valuable.

The businesses that win will not just be faster

Everyone has speed now. Speed is no longer the real advantage.

The businesses that get better results from AI will be the ones that use it to sharpen their thinking, not sand down their voice. They will be the ones with a clear opinion, useful proof, recognisable language and enough confidence to sound like themselves.

For SME leaders, that is the real lesson.

Do not stop using AI. That would be pointless, and frankly, a bit dramatic.

Use it to analyse. Use it to challenge. Use it to structure. Use it to speed up the messy middle.

But do not use it to bypass the part that makes your content worth reading in the first place.

Because if your marketing starts to sound too polished, too generic or too far removed from how you actually speak, the problem is not just that people might think you used AI.

The bigger problem is that they will not feel any reason to trust it, remember it or act on it.

And that is the bit that really matters.