Why your AI copy sounds like everyone else's

At some point, every founder who starts using AI for marketing produces the same output: copy that is grammatically solid, hits the tone you described, and that you know you would never actually run. It is smooth and inoffensive. It could belong to any company in your category.

The easy read is that AI is too generic. The accurate one is that the brief was.

The brief is where it breaks

AI copy has an input problem. A vague prompt produces a vague output. When you write something like “write a LinkedIn post about our video editing tool for marketers,” the model has to fill in everything it does not know: what the tool actually does differently, which marketer you are talking to, what problem they have today, and what you want them to do after reading.

It fills those gaps using the most probable marketing language from its training. Which means it sounds like all the other marketing language it has seen. You are not getting your copy; you are getting the average of everyone’s copy in your category.

Specificity is the work that unlocks it

The thing that lifts AI copy from acceptable to good is the same thing that lifts any copy: specificity about the problem, the solution, and the person reading it. With AI, you have to front-load that specificity into the brief rather than letting it develop as you write.

A brief that produces real copy looks different from a vague one. Instead of “our video editing tool helps marketers,” you write: the tool removes filler words and silences automatically from talking-head video; it takes a rough 20-minute recording and cuts it to a clean 8 minutes without anyone scrubbing a timeline manually; the typical user is a single marketer at a software company who records a founder video or demo once a month and then procrastinates on editing it because it consumes most of a workday.

With that brief, the output changes. The AI can write to the procrastination, the time cost, the specific person. It cannot invent those details. But once you hand them over, it assembles copy faster than most people can write from scratch, and the result is recognizably about your product.

The same problem shows up in video scripts

This matters for video because the brief-specificity gap extends directly into scripts. If you use AI to draft a talking-head script and give it a vague premise, the script will be correspondingly vague. It will look reasonable on paper and feel hollow when read aloud. You can hear the difference immediately, but diagnosing why takes a moment.

The people who get usable AI scripts do the same thing as the ones who get usable AI copy: they give the model the specific tension they want to address, the situation the viewer is actually in, and what the product does in concrete terms rather than category language. The script sounds like a real person said it because it had real material to work from. Authenticity in this case is downstream of specificity.

What this means in practice

Keep a living document of things that are specific and true about what you make: the language actual customers use to describe the problem and the solution, the objection that comes up most in sales calls, the moment where the product clicks for people. Feed that material into your brief alongside the output format you want.

Once the brief is solid, AI’s real leverage appears. You can generate a dozen headline variants in a minute, see which phrasing captures the tension most precisely, and combine the best parts from each. That iteration is faster than almost any copywriting process. But iteration over a vague brief still produces vague results faster. The sequence matters more than the tool.

The uncomfortable implication: the thinking you were hoping to skip is partly what has to happen first. Knowing your customer specifically, being clear on what shift your product creates, choosing which tension to write against. AI handles the assembly and the variation. It does not handle knowing what is true about your offer.

The test worth running

One quick check: could a direct competitor use this copy with their product name, and would it land as well? If yes, the brief needed more. Not because the AI failed, but because it was not given anything that is genuinely yours.

The standard for good copy has not changed. What AI changed is where the time goes. Less on assembling sentences, more on having something specific to say before you open the prompt.