Then the inputs are probably too generic.
AI usually sounds bland when it is asked to invent from nothing or when it is fed the same vague business language everyone else uses. If the source material is specific, the output gets better fast.
Then the inputs are probably too generic.
AI usually sounds bland when it is asked to invent from nothing or when it is fed the same vague business language everyone else uses. If the source material is specific, the output gets better fast.
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Generic posts are full of safe claims and empty encouragement.
They say things like "we care about our customers" or "quality matters" without giving people anything real to picture. That is not really an AI problem. It is a raw-material problem.
Use inputs that belong to the actual business:
- customer questions
- real reviews
- service details
- local context
- plainspoken owner opinions
- examples from recent work
That gives the writing something solid to stand on.
Do not ask for "10 engaging posts" with no context and then blame the result.
That prompt almost guarantees filler. The more abstract the ask, the more generic the output tends to be.
If the posts sound interchangeable, improve the source material before changing tools.
That usually does more than endless prompt tweaking.
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