Why generic AI content doesn't work, and what to do instead

Someone posts AI-written content for a month, gets nothing, and decides AI doesn't work for content. Reasonable conclusion, wrong diagnosis.

The model is fine, the inputs are empty

Ask any AI to write a post about your industry and it writes the most agreeable, most general version of what's already been said about your industry. It has to, because that's all it was given.

General content doesn't fail because a machine wrote it. It fails because it's general. A human writing the same general post would do just as badly.

Your reader can tell nothing is at stake

Good content has a person behind it who believes something. Generic content has no position, so there's nothing to agree with, argue with, or remember.

You can feel this in the first two lines. Something that sounds like it's covering a topic reads completely differently from something that sounds like somebody means it.

What to feed it instead

Three things change the output completely. What's actually working right now in your specific space, with real examples. Your own results and stories, including the ones that went badly. And a clear position you're willing to defend.

Give an AI those and it stops averaging and starts assembling. That's a different job and it's much better at it.

Why this is a data problem, not a writing problem

Once you see it this way, the tool you need changes. You don't need a better writing app, you need your AI to be able to see real information about your market and your own performance.

That's the whole idea behind connecting your own Claude or ChatGPT to your actual data. The writing was never the hard part.

A quick test before you post

Ask yourself whether a competitor could post the exact same thing under their name without changing a word. If yes, don't post it. If no, you've got something.