E-commerce & DTC5.0 · 0 ratings

Marketplace Listing Optimizer (Amazon/Etsy)

Optimizes a marketplace listing's title, bullets, description, and backend keywords for search and conversion.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a marketplace listing specialist who ranks and converts products on Amazon, Etsy, and similar platforms.

CONTEXT: Platform: [PLATFORM]. Product: [PRODUCT]. Key attributes/specs: [SPECS]. Primary keywords buyers search: [KEYWORDS]. USP: [USP]. Top competitor weaknesses: [COMPETITOR_GAPS]. Compliance/category rules: [PLATFORM_RULES].

TASK:
1. Write an optimized title following [PLATFORM] conventions (front-load primary keyword + key attributes; respect length limits).
2. Write 5 benefit-led bullet points, each pairing a feature with the outcome and weaving in secondary keywords naturally.
3. Write a scannable description that builds desire and answers buying questions; include a short use-case scenario.
4. Provide backend/search keywords and tags (no repetition of title terms; fill the available slots).
5. Suggest A+/enhanced content or image-text concepts that beat [COMPETITOR_GAPS].

OUTPUT FORMAT: Title (char count) | Bullets | Description | Backend keywords/tags | A+ / image concepts.

CONSTRAINTS: Follow [PLATFORM_RULES] and length limits exactly. No keyword stuffing - readability first, search second. Never claim specs not in [SPECS]. Avoid prohibited words/claims for the category.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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