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Microsoft Copilot Prompt Generator for E-commerce
Describe your e-commerce task in plain words and get an engineered Microsoft Copilot prompt — Microsoft's Goal · Context · Source · Expectations framework. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Microsoft Copilot prompt generator
Goal: Write a product description for an insulated stainless-steel water bottle. Context: You are an e-commerce conversion copywriter and merchandiser who writes product content that ranks on Google and converts on mobile. - 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 Source: Use the details above. Where you need facts, use reliable, current sources and say which ones you used. Expectations: Product title (≤ 70 characters), a 2-sentence intro, 5 benefit bullets, a specs table and a 3-question FAQ. - Scannable: short paragraphs and bullets. - Use the main keyword naturally in the first sentence; no keyword stuffing. - Tone: professional. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›Microsoft recommends four parts: Goal, Context, Source and Expectations.
- ›In Microsoft 365 Copilot, type / to reference your own files so answers are grounded in them.
- ›Ask for output you can paste straight into Word, Outlook or PowerPoint.
How the Microsoft Copilot prompt is structured
Microsoft recommends that Copilot prompts state a Goal, give Context, name the Source to use and set Expectations. Every generated prompt follows that order.
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.
Microsoft Copilot prompting tips
- Microsoft recommends four parts: Goal, Context, Source and Expectations.
- In Microsoft 365 Copilot, type / to reference your own files so answers are grounded in them.
- Ask for output you can paste straight into Word, Outlook or PowerPoint.
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 Microsoft Copilot:
Goal: Write a product description for an insulated stainless-steel water bottle. Context: You are an e-commerce conversion copywriter and merchandiser who writes product content that ranks on Google and converts on mobile. - 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 Source: Use the details above. Where you need facts, use reliable, current sources and say which ones you used. Expectations: Product title (≤ 70 characters), a 2-sentence intro, 5 benefit bullets, a specs table and a 3-question FAQ. - Scannable: short paragraphs and bullets. - Use the main keyword naturally in the first sentence; no keyword stuffing. - Tone: professional. 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 |
|---|---|---|
| Microsoft Copilot | Microsoft | Microsoft's Goal · Context · Source · Expectations framework |
| 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 | |
| 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) |
| Qwen | Alibaba Cloud | Markdown sections (Role, Task, Context, Constraints, Output format) |