AI Product Description Prompt
Get product descriptions that turn specifications into reasons to buy. Enter the product, its category and buyers, the platform – your own shop, Amazon, Etsy, eBay or a print catalogue – the features and other facts such as materials and what is in the box, the length, tone and keywords. The prompt asks for benefit-led copy with optional bullets, natural keyword use and no invented certifications or health claims.
- Runs in your browser
- No sign-up
- Free to use
How to use AI Product Description Prompt
- Enter product name and features.
- Choose platform, length and tone.
- Add keywords and facts.
- Copy the prompt.
AI Product Description Prompt features
Platform-aware
Shop, Amazon, Etsy, eBay, print.
Benefit bullets
Optional.
SEO keywords
Used naturally.
Truthful by design
Uses only your facts; asks not to invent claims.
Three layouts
Markdown headings, XML tags or plain labels.
Private
Built in your browser; nothing is sent to an AI service.
When to use AI Product Description Prompt
- New product listings.
- Rewriting supplier descriptions.
- Marketplace optimisation.
- Catalogue production.
AI Product Description Prompt FAQ
Why only my facts?
Invented claims can break consumer law and platform rules.
How long should descriptions be?
120–180 words suits most product pages; marketplaces have their own formats.
Can I do many products?
Use the Prompt Variable Generator with a CSV of products.
Does it write the description?
It writes the prompt; paste it into your AI assistant.
Benefits over specifications
“1.6 kg” is a specification; “light enough to carry all day” is a benefit. The prompt asks the model to connect each feature with what it means for the buyer.
Keep regulated claims – health, safety, environment – factual and provable.
This tool does not call an AI model. It turns your answers into a well-structured prompt in your browser, so it costs nothing, works offline once loaded and never sends your text anywhere. Paste the result into ChatGPT, Claude, Gemini, Copilot or any other assistant, or into the system message of an API call.
Good prompts are specific about the task, the context the model cannot know, the audience and the shape of the answer. The fields on this page cover exactly those parts; leave optional fields empty when they do not apply, and the prompt stays short.
Review the answer you get: language models can be confidently wrong, especially about facts, numbers, names and recent events. Ask for sources or mark claims to check, and keep personal or confidential data out of prompts unless your organisation allows it.
Keep the prompts that work. A small library of tested prompts – with a note on which model and settings they were used with – saves time and makes results more consistent across a team. The other prompt tools on this site help you format, template, fill and measure them.