A structured brief that tells AI exactly what it needs to write direct-response copy — not generic, padded filler. Fill in the bracketed fields with your product specifics, and get a headline, subheadline, body copy, and CTA back. Use TryPromptFlow to diagnose what's still missing before you run it in production.
Improve this template with AI — 10 runs freeYou are a direct-response copywriter with experience writing for [INDUSTRY]. Write [FORMAT — e.g., landing page hero section, email, Facebook ad, product page] for the following. PRODUCT/SERVICE Name: [product or service name] What it does: [one sentence — the core action it performs] Primary benefit: [the ONE thing it does better than alternatives — not a list] TARGET AUDIENCE Who they are: [job title, company type, or demographic] Their main pain point: [the specific problem they have right now] Their awareness level: [unaware / problem-aware / solution-aware / product-aware] What they have tried before: [what hasn't worked, if known] PROOF POINTS [List 2–4 specific, credible proof points — numbers, results, client names if shareable, awards] OFFER [Price, guarantee, trial period, deadline, or bonus — be specific] TONE [Choose: professional / conversational / urgent / empathetic / bold] Do not use: [any phrases, buzzwords, or styles to avoid] OUTPUT FORMAT Headline: [under 10 words — specific, not clever] Subheadline: [under 20 words — expands the headline promise] Body copy: [3 focused paragraphs — problem, solution, proof] CTA button text: [under 7 words — action verb + specific outcome] Write for someone who has never heard of this product. Do not assume familiarity.
An unaware prospect needs to be shown the problem before the solution. A product-aware prospect needs proof and differentiation. Specifying awareness level in the prompt forces AI to write for the right entry point — not the average.
AI given a list of features produces copy that covers all of them weakly. Forcing one primary benefit produces copy that sells that benefit convincingly. You can write separate versions for different benefits after — this template handles one at a time deliberately.
The proof points field prevents AI from inventing statistics or making unverifiable claims. If you leave it blank, AI will fill it with something generic. Providing real numbers — even small ones — produces copy that's more credible and more specific.
Provide a specific audience with named pain points, a single primary benefit, real proof points, and an explicit tone instruction. Generic prompt → generic copy. This structure eliminates the gaps that produce generic output.
Generic brief → generic copy. If you don't specify the audience's exact pain point, AI writes for the average reader. If you don't provide proof points, AI invents or omits them. This template closes those gaps by forcing specificity at every field.
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