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Perplexity Prompt Generator
Describe your task in plain words and get an engineered Perplexity prompt — a research brief with scope, sources and citations. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Perplexity prompt generator
Research task: Write a blog post about the benefits of remote work. Perspective: You are a world-class expert assistant. You think carefully, state your assumptions and give accurate, practical answers. Background: - Audience: managers at mid-sized companies considering hybrid policies - Details to use: about 900 words, one real-world example and practical tips Requirements: - Be specific and concrete; avoid filler and clichés. - If key information is missing, state your assumptions. - Tone: professional. Sources: Prefer reputable, recent sources (ideally from the last 24 months). Cite every factual claim inline and point out where sources disagree. Deliverable: Well-structured with headings or bullets where helpful. End with 2 suggestions to make it even better. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›Perplexity searches the web for every answer — ask for inline citations and a date range.
- ›Narrow the sources (web, academic, social, finance) to match your question.
- ›Use Research mode for multi-source reports that take a few minutes.
How the Perplexity prompt is structured
Perplexity searches the web for every answer, so the prompt is a research brief: what you need, the background, how recent the sources should be and how to cite them.
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.
Perplexity prompting tips
- Perplexity searches the web for every answer — ask for inline citations and a date range.
- Narrow the sources (web, academic, social, finance) to match your question.
- Use Research mode for multi-source reports that take a few minutes.
Ready-made prompt types
Choose a prompt type for your task; each comes with an expert role, context rules and an output format:
- Write anything — for example “a blog post about the benefits of remote work”.
- Summarise & analyse — for example “the meeting transcript I'll paste below”.
- Brainstorm ideas — for example “20 names and taglines for a new coffee subscription brand”.
Example output for Perplexity:
Research task: Write a blog post about the benefits of remote work. Perspective: You are a world-class expert assistant. You think carefully, state your assumptions and give accurate, practical answers. Background: - Audience: managers at mid-sized companies considering hybrid policies - Details to use: about 900 words, one real-world example and practical tips Requirements: - Be specific and concrete; avoid filler and clichés. - If key information is missing, state your assumptions. - Tone: professional. Sources: Prefer reputable, recent sources (ideally from the last 24 months). Cite every factual claim inline and point out where sources disagree. Deliverable: Well-structured with headings or bullets where helpful. End with 2 suggestions to make it even better. 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 |
|---|---|---|
| Perplexity | Perplexity AI | a research brief with scope, sources and citations |
| 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 |
| 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) |