- No data uploaded
- Instant results
Microsoft Copilot Prompt Generator for Travel & Hospitality
Describe your travel & hospitality 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: Plan a 7-day Japan itinerary covering Tokyo, Kyoto and Osaka. Context: You are a seasoned travel planner and travel writer who builds realistic, well-paced itineraries and writes vivid destination content. - Travellers: a couple on their first trip to Japan with a mid-range budget - Group nearby sights, include travel times and keep a realistic pace. - Preferences: travelling in April for cherry blossoms; love food and temples Source: Use the details above. Where you need facts, use reliable, current sources and say which ones you used. Expectations: A day-by-day table (Morning, Afternoon, Evening, Food, Estimated cost), then packing and booking tips. - Mix famous sights with local experiences. - Give estimated costs in the local currency. - 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.
Travel & Hospitality prompt types
Choose a prompt type for travel & hospitality; each comes with an expert role, context rules and an output format:
- Trip itinerary — for example “a 7-day Japan itinerary covering Tokyo, Kyoto and Osaka”.
- Destination guide / blog post — for example “a first-timer's guide to Lisbon”.
- Hotel / homestay description — for example “a listing description for a boutique homestay in the mountains”.
Example output for Microsoft Copilot:
Goal: Plan a 7-day Japan itinerary covering Tokyo, Kyoto and Osaka. Context: You are a seasoned travel planner and travel writer who builds realistic, well-paced itineraries and writes vivid destination content. - Travellers: a couple on their first trip to Japan with a mid-range budget - Group nearby sights, include travel times and keep a realistic pace. - Preferences: travelling in April for cherry blossoms; love food and temples Source: Use the details above. Where you need facts, use reliable, current sources and say which ones you used. Expectations: A day-by-day table (Morning, Afternoon, Evening, Food, Estimated cost), then packing and booking tips. - Mix famous sights with local experiences. - Give estimated costs in the local currency. - 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) |