AI Is Exposing Old Visibility Habits
You probably know more than you think you do. The harder part is making that knowledge visible online.
A few weeks ago, I reviewed a newsletter draft from a business owner who told me she was “being careful with AI” because she didn’t want to sound generic. The draft already sounded generic before AI touched it.
You may have done some version of this yourself.
You sit down to write about your work and suddenly everything starts sounding broad, polished, and strangely interchangeable. “Consistency matters.” “Relationships are important.” “Focus on providing value.”
None of those statements are wrong. The problem is that the internet already has millions of versions of them, and AI learned from all of them. So when you feed vague positioning into AI, the output usually becomes cleaner, faster, and even more generic.
The parts you remove are often the parts readers remember
One client pasted a draft into ChatGPT and asked it to “make this sound more professional.” The revised version removed the one thing that made the original interesting: a direct story about a client wasting six months chasing the wrong audience because they were afraid to narrow their positioning.
The new version sounded polished. It also sounded like hundreds of other marketing emails.
She looked at both drafts and said, “I think I’ve been editing myself out of my own content for years.”
That stayed with me because I often see this among experienced business owners. You built your reputation through client work, referrals, results, and years of experience. You learned how to sound credible, measured, and useful.
That approach worked well for a long time online.
The internet changed faster than most people expected
Now the volume of polished content has exploded. You can generate ten decent LinkedIn posts in minutes. You can summarize articles, rewrite emails, produce outlines, and spin one idea into twenty variations without much effort.
Readers see far more content every day that sounds informed, organized, and professionally written. A lot of it blends together fast.
The people who stand out tend to leave more evidence of their thinking behind.
You can see it in the examples they choose, the client situations they describe, and the tradeoffs they mention. You can feel it when someone explains where common advice breaks down in real client work, or why they made a decision that goes against the usual recommendation.
That kind of specificity carries more weight now because polished competence is easy to produce.
AI also exposes the ways you avoid visibility
I’ve noticed another pattern, too.
People say they want AI to save time. Then they spend hours organizing prompt libraries, testing workflows, rewriting outputs, building systems, and watching tutorials.
Meanwhile, their strongest ideas never make it onto the page.
Your best client stories stay trapped inside Zoom calls. The observations you almost said out loud get softened into “helpful tips.” Your marketing stays clean, reasonable, and forgettable.
I’ve done versions of this myself. 🤦♀️
I’ve spent an hour trying to improve a workflow when the harder and more useful move was writing the sentence I was avoiding because I knew some people would disagree with it.
You can feel the difference when you stop smoothing every edge off your thinking. Readers get a clearer sense of how you make decisions, what you’ve learned from experience, and where your perspective came from.
That creates more recognition than another polished summary.
Readers notice accumulated judgment
Some business owners are going to feel this shift more than others. If you built authority mainly through polished communication, you’re now competing with tools that produce polished communication instantly.
The harder thing to reproduce is accumulated judgment.
The decision pattern you noticed after working with fifty clients. The moment when you realized common advice broke down in practice. The client reaction you’ve seen often enough that you trust your read on it.
Those observations usually come from repetition, mistakes, conversations, and years of paying attention. Readers may not describe it that way, but they can feel the difference between recycled advice and earned conclusions.
A simple test for generic content
One of the simplest tests for generic content is removing your name from the piece and asking yourself how many other people in your industry could have written it with minor edits.
That doesn’t mean every post needs controversy or dramatic storytelling. Readers just need enough specificity to feel there’s a real person behind the words, making decisions, noticing patterns, and drawing conclusions from lived work.
One book that connects strongly to this is Obviously Awesome. One reason I recommend it is that it pushes you to define what makes your perspective distinct instead of relying on broad marketing language.
The strongest AI workflows start before the prompt
The business owners getting the best results with AI usually bring stronger raw material into the process before they ever write a prompt.
They save objections from sales calls. They collect examples. They pay attention to sentences that create reactions from clients.
They notice where they consistently disagree with standard advice. They keep track of moments where they almost softened the point, then decided to leave it in.
That gives AI something more useful to work with.
I’ve started paying closer attention to sentences I hesitate to publish. Those are often the parts connected to direct observation instead of performance.
Readers can feel the difference. You can feel it when someone writes from accumulated client work instead of recycling ideas already circulating online.
One thing to try this week
You probably already know more than you think you do. A lot of the value is sitting inside conversations, decisions, client patterns, frustrations, and observations you haven’t fully documented yet.
Open a recent post, email, or LinkedIn update. Highlight every sentence that sounds polished but could apply to almost anyone in your field.
Then add:
One client pattern you’ve seen repeatedly
One opinion you usually soften
One decision you made that went against common advice
One sentence you almost removed because it felt too direct
That’s usually where readers start seeing the person behind the expertise.
The hard part usually isn’t getting AI to write more content.
It’s getting clearer about what you already know, what patterns you’ve noticed, and where your experience shows up in your decisions. That takes more than a generic “write in my voice” prompt.
In the paid section below, I’m sharing the prompts I’d use to help you pull more lived experience, sharper observations, and stronger judgment into your content. These are built to help you spot generic thinking faster, surface patterns from client work, and turn real expertise into clearer visibility.
