ThinkWithPrompt by SynotticThinkWithPrompt

Write a sales one-pager for a product or solution

A scannable one-page leave-behind that sales can send after a call, built around the buyer's problem and proof.

SalesFew-ShotStandardDesignWriteFill-in Template

The prompt

Write a one-page sales sheet for my product or solution. Product or solution: [NAME and what it does] Target buyer and role: [e.g. "operations directors at mid-size logistics firms"] Their top problems: [3 PAIN POINTS in their words] Key capabilities: [FEATURES, and the outcome each produces] Proof: [customer results, logos you can use, ratings, awards - only real ones] Differentiators vs. alternatives: [incl. "do nothing" or spreadsheets] Call to action: [e.g. "book a pilot", "request pricing"] When it's used: [after first call / trade show / email attachment] Structure: 1. Headline stating the outcome for this buyer (not the product name). 2. 2-sentence problem statement they will recognize. 3. 3-4 benefit blocks: outcome-led heading, one supporting sentence, the capability behind it. 4. Proof bar: a metric, a short quote, or logos. 5. "Why us" in 3 bullets, without attacking competitors by name. 6. Clear next step and contact line. Rules: under 300 words, scannable in 30 seconds, buyer's vocabulary, no unverifiable superlatives ("best", "only") unless I provide evidence. Mark any claim or number to confirm with [CONFIRM]. Also suggest a layout (sections, where visuals go) for the designer, and a version of the headline for a second persona if I named one.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • NAME and what it does
  • e.g. "operations directors at mid-size logistics firms"
  • FEATURES, and the outcome each produces
  • incl. "do nothing" or spreadsheets
  • e.g. "book a pilot", "request pricing"
  • after first call / trade show / email attachment
  • CONFIRM

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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