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Perplexity Prompt Generator for E-commerce
Describe your e-commerce 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 product description for an insulated stainless-steel water bottle. Perspective: You are an e-commerce conversion copywriter and merchandiser who writes product content that ranks on Google and converts on mobile. 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. Sources: Prefer reputable, recent sources (ideally from the last 24 months). Cite every factual claim inline and point out where sources disagree. Deliverable: 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.
- ›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.
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 Perplexity:
Research task: Write a product description for an insulated stainless-steel water bottle. Perspective: You are an e-commerce conversion copywriter and merchandiser who writes product content that ranks on Google and converts on mobile. 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. Sources: Prefer reputable, recent sources (ideally from the last 24 months). Cite every factual claim inline and point out where sources disagree. Deliverable: 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 |
|---|---|---|
| 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) |