AI content has a sound. It’s the average of the internet. Here’s the five-step process we use to make sure Buzz output sounds like a real business instead.
AI Content Creation & Technology
1. The problem is statistical, not mysterious
AI doesn’t sound like AI because it’s bad. It sounds like AI because it was trained on millions of sentences and optimizes toward the middle of them. “Leverage,” “empower,” “unlock,” “innovative solutions,” “cutting-edge” - these words aren’t in your AI output because the AI is lazy. They’re there because the training data put them there. The AI is doing the mean of everything it read. The mean is generic.
Solve the statistics problem, you solve the voice problem. That’s what the rest of this post is about.
2. Step one - load a real brand bible into the prompt
Most people prompt with “write a LinkedIn post about [topic].” That gets you the mean of LinkedIn posts about that topic.
We prompt with a structured brand bible: voice scores on six dimensions, a words-used list, a words-avoided list, three on-brand examples, three off-brand examples with explanations. The prompt is about 800 tokens before we even mention the topic.
The same AI produces completely different output with the different input. Same engine. Different ingredient list.
3. Step two - forbid the known banned words programmatically
We maintain a universal banned list (leverage, empower, unlock, synergize, ideate, elevate, seamless, cutting-edge, game-changer, disrupt, revolutionize) plus a client-specific banned list. Every draft gets parsed. If a banned word shows up, the draft is auto-flagged for rewrite. No human ever sees a first draft with “leverage” in it.
This is crude. It’s also effective. You can’t catch all bad AI output with keyword filters, but you can catch the obvious 30% - and the obvious 30% is what makes everything else smell like AI.
4. Step three - rhythm checks, not just content checks
AI tends to produce sentences of similar length. Fifteen to twenty words each. Paragraph after paragraph of the same rhythm. Human writing doesn’t do that.
We run a rhythm check: sentence-length variance. If the last five sentences are all 15-20 words, the draft is flagged for rewrite. Human writers mix short and long. Good social writing especially. A three-word sentence lands harder than a thirty-word sentence. AI has to be nudged to do this on purpose.
5. Step four - human edit, required, every time
No Buzz post publishes without a human editor. Not because AI output is bad - it’s often 80% of the way there. Because the last 20% is where voice lives. A comma choice. A word substitution. Deleting a redundant clarifier. Adding the one specific observation that makes this post unmistakably yours and not anyone else’s.
Human edits take about three minutes per post once the bible is stable. It’s not a lot of time. But it’s the step you can’t skip if you want output that doesn’t read like AI.
6. Step five - weekly feedback loop into the bible
Every week, the editing team flags the three patterns that needed the most rewriting. Those patterns get added back into the brand bible as new examples, new banned words, or new voice-dimension adjustments.
The bible gets sharper every week. The AI output gets closer to the final voice every week. By month 3, the human edit step takes closer to a minute than three minutes. The system learns because the humans teach it.
7. One thing this won’t fix
This whole process can’t save you from a weak strategic observation. If your underlying idea is generic, a great voice just makes it a generic post that sounds like a real business. The voice layer works on top of a real idea - it doesn’t replace it.
Most of our weekly strategy reviews are actually about this: “Is the idea in this post worth publishing, regardless of voice?” The voice filter catches AI-sounding sentences. The strategy filter catches AI-sounding ideas. You need both.
Want this kind of content for your business? Get a free social visibility audit - we come back in 48 hours with a voice check, visibility snapshot, and three post ideas you can run yourself.