Fix a Vague Prompt
'Make it good', 'be detailed', 'keep it interesting' — vague prompts get vague output. The fix is mechanical: replace every fuzzy word with a checkable instruction.
Marketing prompts built from 'compelling' and 'persuasive' produce copy that sounds like everyone's. The rewrite swaps adjectives for an offer, a reader, and one CTA.
Marketing copy prompts have the highest adjective density of any category — 'compelling', 'persuasive', 'high quality', 'engaging' — and adjectives are exactly what generic copy is made of. The strong form makes decisions instead: who the reader is, what pain leads, what the offer is, what the one call to action says. This resource loads an adjective-driven marketing prompt and rewrites it with specificity focus, so every fuzzy term becomes a decision slot you fill with your actual campaign facts.
Rewrite with Increase Specificity
'Compelling/persuasive' becomes a pain-then-benefit instruction; 'exciting' and 'high quality' become criteria; audience and context slots appear.
Fill with campaign facts
Reader, pain, offer, CTA text — four decisions that were hiding inside four adjectives.
Reuse per channel
Keep the decision lines, swap the format and length per channel (ad, email, landing page).
'Compelling', 'persuasive', 'exciting', and 'high quality' — every fuzzy term in 'Write marketing copy for our new fitness app.' The rewrite turns the persuasion adjectives into a pain-then-benefit instruction and the quality adjectives into criteria, then exposes reader, pain, offer, and CTA as empty slots. The Prompt Rewriter marks those slots; the wording of each stays yours to write.
It leaves the offer and CTA blank on purpose — your app's actual price, trial length, and promise are campaign facts a rewriter has no way to know, and a plausible guess would ground the copy in fiction. The tool restructures 'persuasive' into pain-then-benefit and opens offer and CTA as slots, but the exact wording you fill in stays with you.
Yes — hold the reader, pain, offer, and single CTA lines identical, then adjust only the requested format and length before you paste it into ChatGPT, Claude, or Gemini. Because those four decisions carry the campaign, an ad, an email, and a landing page share one message and differ only in output shape, so the CTA and pain never drift between channels.
'Make it good', 'be detailed', 'keep it interesting' — vague prompts get vague output. The fix is mechanical: replace every fuzzy word with a checkable instruction.
The fastest fix for mediocre AI output is rewriting the prompt: vague words become concrete instructions, hedges become commitments, and missing elements get filled.
Format, length, and exclusions are the three levers that make AI output land in usable shape. A rewrite shows how to retrofit them onto a prompt that has none.
See exactly what changed between v1 and v2 of a prompt — added, removed, and modified instructions, plus whether the revision reduced or introduced risk.
A side-by-side way to decide between two ChatGPT prompt drafts — scored on clarity, specificity, output control, and risk instead of gut feeling.
A set of before-and-after examples showing exactly what prompt cleanup removes — and what it deliberately leaves alone.
Rewrite a weak prompt into a stronger one — vague wording fixed, gaps filled, goal unchanged.