Here's the uncomfortable bit: most of the AI-written content flooding LinkedIn right now is indistinguishable. Same rhythm. Same tidy three-point lists. Same confident voice saying very little.
And buyers can smell it.
This isn't an anti-AI rant - far from it. I use these tools every day and they've genuinely changed how fast we work. The problem is what gets fed in, and what people let get handed back. Point the tool at the right job and it's brilliant. Ask it to be you, cold, and it'll hand you the average of everything already out there.
ChatGPT didn't sit in 200 partner meetings this year. It didn't lose a deal because the proposition was too broad. It didn't watch a client's face change when the penny finally dropped. So when you ask it to write your thought-leadership from a standing start, you get exactly what it knows - a polished blend of every blog that's ever been written on the topic.
That's the opposite of what good content does. Good content earns attention because it tells the reader something Google can't. Your scar tissue. Your specific take. The thing you'd say out loud in the pub but somehow strip out the moment you open a blank doc.
Think about the partners who actually stand out in the channel. There are somewhere between 35,000 and 40,000 IT consultancy businesses in the UK - even if you knock that down to the ones genuinely trading at scale, that's a wall of noise. The ones who cut through aren't the ones with the slickest prose. They're the ones with a point of view and the evidence to back it.
Here's how most partners fall into it. The pressure's on to "post more". So they prompt the tool for "a thought-leadership piece on cybersecurity for SMEs", give it thirty seconds, skim what comes back, and ship it. It reads fine. It's grammatically perfect. It's also completely interchangeable with what twelve of your competitors posted that same week.
You might think nobody notices. To be fair, a casual scroller might not. But the buyer you actually want - the one weighing up suppliers - absolutely does. They're reading between the lines for signs you've done this before, that you understand their world, that there's a human with real experience behind the logo. Generic content quietly tells them the opposite.
The partners getting real mileage out of AI aren't asking it to think for them. They're using it to move faster on the bits that don't need a human - tidying a structure, pulling a messy first draft into shape, spotting where an argument sags, getting the spelling and flow right.
Then they do the part only they can do: they add the opinion. The example. The number. The "here's what actually happened on that project". The bit of insight that came from being in the room.
Look at the partners with propositions that land. What makes them work is everything underneath - the stories, the data, the lived proof. No tool can manufacture that for you. It can only help you tell it better and quicker.
The result? Content that reads like a person who knows their stuff, written in a fraction of the time. Best of both.
Run every draft through three questions:
Could a competitor have written this exact post? If yes, sharpen it or bin it.
Is there one real example, number, or story in here - or just claims?
Does it sound like you'd actually say it, or like a press release wearing your name?
If it fails any of those, it's not ready. And the fix is never "write more" - it's "add something only you could've said".
AI won't make you sound generic. Lazy prompting and a skipped edit will. The tool's only ever as good as the thinking you bring to it - and the thinking is the bit that's actually yours.
If you want to use these tools properly - to save time without losing your voice - that's exactly the sort of thing we sort out in our marketing x AI workshops. Or if you just want to chew through some ideas over a 15-minute chat, no obligation, don't hesitate to get in touch.