- No data uploaded
- Instant results
DeepSeek Prompt Generator for E-commerce
Describe your e-commerce task in plain words and get an engineered DeepSeek prompt — one direct user message with no separate system prompt. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
DeepSeek prompt generator
You are an e-commerce conversion copywriter and merchandiser who writes product content that ranks on Google and converts on mobile. Write a product description for an insulated stainless-steel water bottle. Background: - 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 Requirements: - Scannable: short paragraphs and bullets. - Use the main keyword naturally in the first sentence; no keyword stuffing. - Tone: professional. Output: Product title (≤ 70 characters), a 2-sentence intro, 5 benefit bullets, a specs table and a 3-question FAQ. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›DeepSeek's reasoning mode works best with everything in a single user message — no separate system prompt.
- ›Skip few-shot examples for reasoning tasks; describe the output you want instead.
- ›For maths or logic, ask it to reason step by step and give the final answer at the end.
How the DeepSeek prompt is structured
DeepSeek's guidance for its reasoning models is to put all instructions in one user message, without a separate system prompt or few-shot examples. The generator writes it that way.
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.
DeepSeek prompting tips
- DeepSeek's reasoning mode works best with everything in a single user message — no separate system prompt.
- Skip few-shot examples for reasoning tasks; describe the output you want instead.
- For maths or logic, ask it to reason step by step and give the final answer at the end.
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 DeepSeek:
You are an e-commerce conversion copywriter and merchandiser who writes product content that ranks on Google and converts on mobile. Write a product description for an insulated stainless-steel water bottle. Background: - 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 Requirements: - Scannable: short paragraphs and bullets. - Use the main keyword naturally in the first sentence; no keyword stuffing. - Tone: professional. Output: Product title (≤ 70 characters), a 2-sentence intro, 5 benefit bullets, a specs table and a 3-question FAQ. 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 |
|---|---|---|
| DeepSeek | DeepSeek | one direct user message with no separate system prompt |
| 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) |
| Meta AI | Meta | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Mistral Le Chat | Mistral AI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Qwen | Alibaba Cloud | Markdown sections (Role, Task, Context, Constraints, Output format) |