You can use any general AI chatbot to draft a product description, as long as you start from confirmed data and review the result yourself. The tool helps with wording and structure. It is not a source of facts. This guide takes you from a product data card to a review checklist, and it works for any tool and any market.
It is a general method that has not been tested on a specific tool. The product in the examples is made up.
Step 1: Prepare a product data card
Before you open the chat, put the product data in one card. Separate confirmed facts from items that still need checking, and never fill a gap with a guess.
- Identity: approved name, model, color or version.
- Specs: material or ingredients, dimensions with units, weight or capacity, what is in the box.
- Use, care and warnings: copied from the manual or packaging.
- Packaging text: copied exactly, kept apart from any translation.
- Audience and tone: who is this for, and what question should the description answer?
- Gaps: write “not available” and note who can confirm it.
Illustrative example (invented data, for demonstration only): “Stainless steel water bottle, 500 ml capacity (example), color: gray (example), removable lid (example).” Notice the card contains no claim like “keeps drinks cold for 24 hours,” because that is not in the data.
Do not paste customer data or confidential information into the prompt.
Step 2: Use a reusable prompt template
Copy the template and replace the brackets with the data for one product:
TASK: Write a draft product description for human review.
Use ONLY the data below.
Product name and model: [name]
Color or version: [specify]
Material or ingredients: [confirmed data or not available]
Dimensions and units: [confirmed data or not available]
Weight or capacity: [confirmed data or not available]
What is in the box: [list or not available]
Use, care and warnings: [approved text]
Audience and tone: [specify]
Where it will appear: [own store / marketplace listing]
Missing information: [list]
RULES:
- Use plain language, no hype.
- Do not add any spec, certification, warranty, or promised result.
- Do not convert units; copy numbers as given.
- If something is missing, ask me instead of guessing.
OUTPUT:
1. Suggested title.
2. Short description using confirmed data only.
3. Spec bullet points.
4. Questions to answer before approval.
5. Phrases that need checking or removal.
Put "Draft for review" above the result.After the first draft, ask for one specific change, such as “shorten the intro and keep every spec,” then compare the new version against the data card again.
Step 3: Review as a human before publishing
Tidy wording is not proof that a fact is true. Check the text side by side with the product and its spec file:
- Claims: does every performance, safety or certification claim have a document for this exact product? Remove what you cannot support.
- Numbers and units: match each number and unit to the source, and separate product size from package size.
- Materials and ingredients: do not let a word like “premium” replace the actual material name.
- Packaging text and warnings: match them to the real package; have a person review any translation.
- Version shown: title, description and images all describe the same color, model and contents.
- Channel rules: check the current official policy of your sales channel and category before adapting the text.
- Clarity: does it answer the buyer’s questions? Any repetition or keyword stuffing?
- Sign-off: the product owner approves before publishing.
Common mistakes
- Asking for a “persuasive description” with no data: you get generic text and invented specs.
- Turning a spec into a promise: naming a material does not guarantee durability.
- Mixing up product and package: be explicit about which weight or size you mean.
- Copying a competitor’s description: write from your own product’s data.
- Keyword stuffing: clarity comes before repetition.
- One text for every channel: each channel has its own requirements; check them at the official source.
Limits: when not to rely on this
- Do not use a draft to prove a specification or to judge a product’s safety.
- For regulated products (food, medicine, cosmetics, children’s toys), have wording checked by a qualified person against current regulations.
- A chatbot can add wrong information with great confidence, and results can differ from run to run.
- This method does not promise better language quality or more sales, and its effect has not been measured.
What to verify yourself before relying on this
- Is every statement in the description present in the data card, with a source?
- Did you check your sales channel’s current policy at its official source?
- Did you read the tool’s data policy before uploading information?
- Did the product owner approve the final text?
To pick a tool for this task, see choosing an AI tool by task. For ready-made templates, see the product description prompt pack. If you are also preparing product photos, read the AI product images checklist.