
Methods · 5 min read
Why most AI drafts sound the same — and the fix
If every draft your team gets out of ChatGPT sounds like a mid LinkedIn ghostwriter, it's not the model's fault. It's what you fed it. Three small habits that change everything.
There's a specific texture to AI-written B2B content. The em-dashes. The "In today's fast-paced world." The triadic lists where the third item is always the most abstract. You can spot it from three feet away, and so can your customers.
The reason isn't the model. GPT-4-class models are perfectly capable of writing in a sharp, opinionated voice. The reason is that 95% of people open a chat window, type "write me a LinkedIn post about X," and accept the default. The default is the average of the entire internet. The average of the internet is beige.
Here's what actually changes the output:
1. Feed it your site, your past posts, and your founder transcripts. Not as a vibe — as actual text inside the prompt. The model can only copy what it can see. Show it five things you've published that you're proud of, and it will start to sound like them.
2. Give it a one-line voice rule, not a paragraph. "Write the way the founder talks on sales calls" beats three paragraphs of brand guidelines every time. The shorter the instruction, the more weight it carries.
3. Reject the first draft. Always. Tell the model what's wrong with it in plain English — "this opening sounds like a press release, rewrite it like you're texting a friend who runs a competing company" — and watch the second draft.
That's the whole game. You're not prompting better, you're giving the model better source material and faster feedback. Everything else is decoration.
(This is roughly what Royvo does in the background, except it reads your site once and then remembers — so you don't have to paste the same five examples into every chat.)
