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Qwen Prompt Generator for E-commerce
Describe your e-commerce task in plain words and get an engineered Qwen prompt — Markdown sections (Role, Task, Context, Constraints, Output format). Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Qwen prompt generator
# Role You are an e-commerce conversion copywriter and merchandiser who writes product content that ranks on Google and converts on mobile. # Task Write a product description for an insulated stainless-steel water bottle. # Context - Shoppers: commuters and gym-goers who want cold drinks all day - Lead with the main benefit, then features framed as benefits, then specs. - Product facts: 750 ml, cold for 24 h / hot for 12 h, leak-proof lid, BPA-free, 6 colours # Constraints - Scannable: short paragraphs and bullets. - Use the main keyword naturally in the first sentence; no keyword stuffing. - Tone: professional. # Output format Product title (≤ 70 characters), a 2-sentence intro, 5 benefit bullets, a specs table and a 3-question FAQ. # Before you begin If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›Qwen is strong at multilingual and Chinese–English work — state the output language.
- ›Switch on thinking mode for complex, multi-step tasks.
- ›Ask for JSON when you need structured output for a spreadsheet or app.
How the Qwen prompt is structured
Qwen follows clearly labelled Markdown sections. Putting the role, task, context, constraints and output format under their own headings makes instructions hard to miss and easy to edit.
Every prompt is built from the same modular parts — role, task, context (your audience and details) and output format — then rendered in the style each AI follows best. Change the AI in the drop-down and the same request is rewritten instantly.
Qwen prompting tips
- Qwen is strong at multilingual and Chinese–English work — state the output language.
- Switch on thinking mode for complex, multi-step tasks.
- Ask for JSON when you need structured output for a spreadsheet or app.
E-commerce prompt types
Choose a prompt type for e-commerce; each comes with an expert role, context rules and an output format:
- Product description — for example “a product description for an insulated stainless-steel water bottle”.
- Customer service reply — for example “a reply to a customer whose order arrived damaged”.
- Amazon / marketplace listing — for example “an Amazon listing for a bamboo cutting-board set”.
Example output for Qwen:
# Role You are an e-commerce conversion copywriter and merchandiser who writes product content that ranks on Google and converts on mobile. # Task Write a product description for an insulated stainless-steel water bottle. # Context - Shoppers: commuters and gym-goers who want cold drinks all day - Lead with the main benefit, then features framed as benefits, then specs. - Product facts: 750 ml, cold for 24 h / hot for 12 h, leak-proof lid, BPA-free, 6 colours # Constraints - Scannable: short paragraphs and bullets. - Use the main keyword naturally in the first sentence; no keyword stuffing. - Tone: professional. # Output format Product title (≤ 70 characters), a 2-sentence intro, 5 benefit bullets, a specs table and a 3-question FAQ. # Before you begin If anything essential is missing, ask me up to 3 short clarifying questions before you start.
AI chat tools compared
| AI | Made by | Prompt style |
|---|---|---|
| Qwen | Alibaba Cloud | Markdown sections (Role, Task, Context, Constraints, Output format) |
| ChatGPT | OpenAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Claude | Anthropic | XML tags (<role>, <context>, <task>, <constraints>, <output_format>) |
| Gemini | Google's Persona · Task · Context · Format framework | |
| Microsoft Copilot | Microsoft | Microsoft's Goal · Context · Source · Expectations framework |
| Perplexity | Perplexity AI | a research brief with scope, sources and citations |
| Grok | xAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| DeepSeek | DeepSeek | one direct user message with no separate system prompt |
| Meta AI | Meta | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Mistral Le Chat | Mistral AI | Markdown sections (Role, Task, Context, Constraints, Output format) |