ChatGPT writes a LinkedIn post in 20 seconds. Your clients are starting to recognise it.
ChatGPT can write a LinkedIn post in less time than it takes to make coffee.
Give it a topic, ask for a professional tone, add a line about sounding human and twenty seconds later there it is. A neat opening. A sensible middle. A confident conclusion about trust, leadership or the importance of staying ahead.
Nothing is technically wrong with it. That is part of the problem.
The post is clear, polished and completely forgettable. It could belong to an attorney, an accountant, a consultant or the managing director of a company that supplies industrial pumps. Change three nouns and nobody would notice.
And your clients are noticing.
AI writing has developed a familiar accent
Most people could not identify an AI-written post with certainty. They do not need to.They recognise the feeling.
The sentence rhythm is suspiciously tidy. Every paragraph lands in exactly the right place. The opening introduces a broad problem, the middle offers three balanced observations and the conclusion arrives with a lesson about success.
The language sounds professional, but oddly detached from any real person.
There are no awkward specifics, sharp opinions or sentences that could only have come from someone who has spent fifteen years dealing with difficult clients, urgent deadlines and systems that stopped working on a Friday afternoon.
Instead, there is “valuable insight”, “meaningful connection” and a reminder that “in an ever-changing business environment, adaptability is key”.
Nobody speaks like that over lunch, yet LinkedIn is full of it.
The problem is not ChatGPT
AI is not the enemy here. Used properly, it can help organise ideas, shorten research time, test an argument and turn rough notes into something more coherent. It is extremely useful for people who know what they want to say but struggle to get started.
The problem begins when the first draft becomes the final post.
ChatGPT does not know which client question made you lose patience last week. It does not know the industry phrase you cannot stand, the mistake you keep seeing or the opinion you usually soften in meetings because nobody wants lunch to become a disciplinary hearing. It can only work with what it is given.
When the prompt is generic, the writing will be generic too.
“Write a professional LinkedIn post about leadership” will produce something that sounds like thousands of other posts because there is nothing distinct in the instruction. The tool has been asked to create a version of what already exists.
It does that very well.
Polished content can still weaken trust
Professionals often assume that sounding polished makes them sound credible.
Sometimes it does. But polish without personality creates distance.
A prospective client is not only trying to decide whether you understand the subject. They are also trying to get a sense of how you think, how you communicate and whether there is an actual person behind the profile.
Generic AI content hides all of that. It gives the reader no friction, but also no reason to remember the writer. There is no detail that feels lived, no point of view worth disagreeing with and nothing that suggests the post came from a particular professional with particular experience. That can weaken trust.
If every post sounds as though it came from the same machine, clients begin questioning whether the expertise is real or merely well-presented.The content may still look competent, it just stops feeling credible.
Your clients do not need perfection
Many professionals use AI because writing feels slow.
They sit down with a useful idea, stare at the empty box for five minutes and decide it would be easier to let ChatGPT deal with it. Fair enough. Most attorneys did not qualify so they could spend Tuesday morning worrying about sentence structure.
But clients are not waiting for literary perfection - they want clarity.
A slightly uneven post containing a real observation is often more persuasive than a flawless one containing nothing specific. A blunt sentence drawn from experience carries more weight than four paragraphs explaining the “power of authentic leadership”.
Readers respond to recognition.
They notice when someone describes the exact problem happening inside their business. They pay attention when a professional says something they have privately suspected but could not quite explain.
That kind of writing does not need to be elaborate, just true.
The better use of AI happens before the final draft
AI works best as a thinking tool rather than a replacement for thought.
Start with the uncomfortable opinion, the client question, the repeated mistake or the story you keep telling in meetings. Give the tool the raw material that makes the idea yours.Then use it to challenge the logic, find gaps, suggest structure or tighten a section that has wandered off and started a second career.
The final writing still needs judgement. Some sentences should be removed because they sound too smooth. Others need a concrete example. A tidy conclusion may need to be replaced with the sharper point you were avoiding.
This is where human editing matters.
Good writing is not simply error-free. It carries the fingerprints of the person behind it.
Sounding human requires something human
The irony is that many prompts now ask AI to “sound more human”.
The result is usually a shorter sentence, a contraction and perhaps a slightly casual phrase near the end - That is not a voice. A voice comes from preference, irritation, experience and judgement.
AI can imitate the surface of human writing, it cannot invent the actual history that gives the writing meaning.That part has to come from you.
Fast content has a hidden cost
Twenty-second content feels efficient because the time saving is obvious.
A client reads the post and moves on. A colleague thinks it sounds familiar. Another professional publishes something almost identical later that day. Nothing terrible happens, but nothing useful happens either.
The post fills a space, that's it. Do that often enough and the profile becomes active without becoming memorable. There is plenty of content, but no clear person behind it.
That is the unfortunate part. AI can help you publish more while making you sound less like yourself.
Your clients may not call it AI. They will call it boring - or worse, they won't recall it at all.
Stop Hiding behind generic content - give it some chutzpah!
None of this is an argument against using AI at all. It is an argument against publishing what AI hands you on the first try. That distinction is explored further in What 34 LinkedIn profiles got wrong, and it is the specific line held on the services page: AI works in the background, judgement stays visible out front.
Frequently asked questions
Can clients actually tell when a LinkedIn post was written by AI?
Often, yes. Certain rhythms, phrase patterns and overly tidy structures have become recognisable, and professional audiences are picking up on them faster than most people expect.
Should professionals avoid using AI for LinkedIn content entirely?
Not necessarily. AI can help with drafts, research and structure. The risk is publishing that output unedited, without a specific point of view or real experience behind it.
What makes an AI-written LinkedIn post easy to spot?
Generic phrasing, an absence of specific detail, and a rhythm that sounds like nobody in particular. Real experience tends to include the unglamorous, specific parts AI has no access to.