AI Product Description Writer
Write persuasive product descriptions for your store.
This tool sends the text you enter to an AI provider to generate a response. Don't paste secrets or personal data. No files are uploaded.
Feed a product name and a handful of details into the AI Product Description Writer and it gives you shop copy: a headline, benefit-led sentences and a short bullet list of features.
How to use it
- 1Enter the product name in the first field — it is quoted directly in the request, so write it as you want it to appear.
- 2List materials, benefits and the intended buyer in 'Key details & features'. The description is built from these, so thin details produce thin copy.
- 3Press Write Description and copy the result into your listing.
Example
- Input
- Product: Bamboo travel toothbrush — Details: moso bamboo handle, soft charcoal bristles, plastic-free case, for commuters and campers
- Output
- A headline, two or three short benefit-focused paragraphs, and a bulleted feature list drawn from the details you supplied.
Marketing copy is exactly where a language model will reach for a claim you never made — 'biodegradable', 'antibacterial', 'clinically proven'. Every factual and regulatory claim in the output needs checking against the real product before it goes on a listing.
What happens to your data
Anything over 40,000 characters is rejected by the /api/ai route with a length error before it is ever handed to the AI provider; everything under that limit is forwarded in full, because that is how the copy gets written. Both fields go, so keep supplier costs, margins, unreleased SKUs and anything else commercially sensitive out of the details box.
Last updated August 2026
You have forty listings to fill and the only source material is a supplier spec sheet nobody wrote for shoppers. Or you have one product, a blank description box, and the particular paralysis of trying to sound enthusiastic about a kettle. Either way the job is turning a list of facts into sentences somebody will read.
Decide which kind of description you are writing first, because the two barely overlap. A marketplace listing is mostly a structured form: title, bullet points and attribute fields, each with a character limit and its own rules about what you may claim. Your own shop is a blank page, where a paragraph of context and some voice do work no attribute field can. What comes out here is the second kind — a headline, benefit-led sentences and a short feature list — so trim it to fit if a marketplace is the destination.
The details box decides the quality, not the product name. Both fields are required, so the button stays inactive until each has something in it, but a line naming the material, the capacity, the problem it solves and the person it is for produces copy a bare product name never will. Thin detail is where a language model fills gaps with plausible claims you never made.
The common mistake is shipping the first draft. Read it once for facts that were not in what you typed — those are inventions — and once for claims you cannot evidence.
How it works
Toolvore assembles one request from your two fields — a line asking for a product description of the name you entered, quoted as you typed it, then your details underneath — and sends it to a language model briefed as an e-commerce copywriter, told to be persuasive and benefit-focused, to lead with a headline and to return the description and nothing else. The reply streams back as it is written, renders as Markdown so bullets and headings arrive as formatting, and a Copy button appears once it finishes; Stop ends it early. Each run clears the last, and nothing is saved, so keep what you want before pressing again. The weak points are structural. There is no tone, length or channel setting, so the register is whatever that brief produces — upbeat shop copy. Output length is capped, and a run that reaches the ceiling stops mid-flow with a bracketed note saying so. And it knows nothing about your product beyond what you typed, while being asked explicitly to persuade, which is the exact pressure that manufactures a claim.
Common use cases
- Filling empty description fields after a shop migration
- Turning a supplier spec sheet into shopper-facing copy
- Drafting one-off or seasonal stock that will not justify a copywriter
- A second angle on copy you have rewritten too many times
- Rewriting inherited listings that read like a datasheet
- Getting past a blank description box on a dull product
Frequently asked questions
How long should a product description be?+
There is no single right length — the channel decides it. Marketplace fields are hard limits: titles are capped, and bullet points are truncated rather than wrapped, so anything past the cut is not read. On your own shop the constraint is attention, not characters: most shoppers scan a first line, a spec list and a price. A workable shape is a short headline, two or three sentences of context, then features as a list the eye can pick off. Write long, then cut — what survives trimming beats anything written to a word count.
What is the difference between a feature and a benefit?+
A feature is a fact about the object; a benefit is what that fact does for the person holding it. Double-walled steel is a feature, coffee still hot on the drive home is the benefit. Features alone read as a datasheet, benefits alone read as advertising with nothing underneath — the pairing is what convinces. The practical version is to write the feature, then finish the sentence with the word so: 800 ml capacity, so it holds a full day without refilling. Keep the number in. A benefit with a figure attached is harder to dismiss than an adjective.
Can I use the manufacturer's description on my own shop?+
You can, and thousands of other sellers are doing exactly that, which is the problem. Identical text across many sites gives a search engine no reason to rank yours, and on a marketplace it gives a shopper no reason to buy from you rather than from whoever is cheaper. Manufacturer copy is written for retailers anyway: specification-led, often translated, and rarely clear about who the thing is for. Treat it as source material rather than output — pull the numbers, materials and compatibility notes out, throw the sentences away, and write around the facts.
Does Google penalise AI-written product descriptions?+
Not for being machine-written — the stated position is that the result is judged rather than the method, and unhelpful text written by a person fares no better. What causes trouble is what unedited bulk generation produces: near-identical pages adding nothing a shopper could not read off the spec table. The risk is thin content, not authorship. A description naming things a model could not have known — how it behaves after a year, what it does not fit, why people send it back — is the part no generator supplies.
What claims am I not allowed to make about a product?+
Rules vary by country and category, but the shape is consistent: a claim must be true and you must hold the evidence before you publish, not after somebody complains. Environmental wording draws particular attention, and biodegradable, eco-friendly, carbon neutral and recyclable all have specific meanings that are policed. Health claims are stricter again — antibacterial, hypoallergenic or clinically proven can pull a product into a regulated category whether you intended it or not. Anything comparative or superlative needs a substantiated basis, and copy generated from a short brief reaches for exactly these words.
Where does the text I type go, and is any of it kept?+
Both fields are sent to this site's AI route and forwarded to the AI provider that writes the copy, so treat everything you enter as leaving your machine. That is how the copy gets written, but it makes the details box the wrong place for supplier costs, margins, unannounced SKUs or launch dates. Nothing is stored here: the result lives in the page while the tab is open, each run replaces the one before it, and closing the tab is the whole of the cleanup. Pressing Stop cancels the reply you are reading, not the request, which has already gone.
Where should keywords go in a product listing?+
In the title first, in the opening sentence second, and in the attribute fields — colour, size, material, compatibility — which are searched more often than sellers expect. Use the words shoppers type rather than the ones on your invoice: people search for a case that fits a particular phone, not for a polymer protective enclosure. Include the obvious synonyms once each, since the same object has different names in different places. Repetition no longer works: one phrase pushed through a paragraph reads badly and is discounted, and on a marketplace that paragraph is often not indexed at all.
Why does AI-written product copy all sound the same?+
Because a short brief leaves the model nothing but the average of everything it has read, and the average of product copy is elevate, crafted, perfect for, whether you are. The fix is on the input side. Give it the specifics only you have — the real measurement, the thing it deliberately does not do, the mistake customers make when buying, what you would say about it to a friend — and generic phrasing has less room to appear. Then cut the opening line, which is usually throat-clearing, and replace any sentence that would fit a different product unaltered.
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