Headline writing
How AI Title Tools Fail (And a Better Prompting Workflow)
Why generic prompts produce generic headlines, and how to give models the constraints that mirror real distribution channels.
Most disappointing AI headlines share one root cause: the prompt asked for “10 catchy titles” with no audience, no format, no constraint, and no proof. Models optimize for plausibly generic language because it minimizes risk. Your job is to import the real world—platform, reader skepticism, and the one thing your piece proves.
Give the model a brief, not a vibe
A useful brief includes: who it is for, what they believe today, what will change after reading, and what must not be claimed. Title Tool Pilot encodes part of that brief as platform modes so you are not reinventing structure each time.
Constraints are not limits—they are the shape of quality.
Quality control that scales
- Generate, then delete anything you would not click yourself.
- Keep two finalists and test them in the real channel (SERP snippet, feed, inbox).
- Update the title when the article changes—titles are versioned promises.
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