ThinkWithPrompt by SynotticThinkWithPrompt

Write short product blurbs in bulk from a spreadsheet

Unique, keyword-aware product summaries for every row of your product sheet, returned in a paste-ready column.

Marketing & BrandFew-ShotStandardData & AnalyticsWriteFill-in Template

The prompt

Write a short product blurb for every row of my product spreadsheet. Product rows: [PASTE rows with headers - e.g. product name, category, material or key specs, main keyword] What the blurb should focus on: [e.g. "fabric features and benefits", "key specs", "use cases"] Word or character limit: [e.g. "max 50 words"] Where it appears: [e.g. "product page under the title", "category listing", "marketplace bullet"] Brand voice: [e.g. "warm and practical", "premium and minimal"] Words to avoid: [e.g. claims we can't make, competitor names] Rules for every blurb: - Open with a specific, engaging phrase about what the product does for the buyer, not a generic opener; vary the openings across rows. - Include that row's keyword once, naturally. - Use only the facts in that row. If a row lacks enough detail, write [NEEDS DETAIL: what's missing] instead of inventing features. - Turn features into benefits (e.g. "moisture-wicking" becomes staying dry on long walks). - No two blurbs may share a sentence or repeat the same structure back to back. - Stay within the limit; no health, safety, or environmental claims unless the row states them. Return a table: Row ID | Product name | Blurb | Word count. Then list any rows flagged for missing detail so I can fix them in the sheet.

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

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What to fill in

  • e.g. "fabric features and benefits", "key specs", "use cases"
  • e.g. "max 50 words"
  • e.g. "warm and practical", "premium and minimal"
  • e.g. claims we can't make, competitor names
  • NEEDS DETAIL: what's missing

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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