A spec sheet is not a product page
Give it the name, the category and the facts you already have - material, size, what is in the box - and it writes three descriptions for the same product, five benefit bullets, five titles and the phrases shoppers type into search. Nothing about your product is invented.
The AI Product Description Writer turns the product, the category, the tone and the buyer into a product description that ends with the benefit rather than a specification list. The text comes back as one block you can edit and paste into a shop.
How it works
Add the product
Write the name and paste the specs or features.
Pick the tone
Choose the category, the audience and the language.
Copy the text
Take a description and the benefit bullets.
Nobody reads your third paragraph
A product page is not read, it is scanned. The shopper arrives with one question - is this the thing I need, at the size I need, without a surprise - and gives the page a few seconds to answer. In those seconds she reads the title, the first line, the price and the bullet list. Everything below that exists for the person who is already almost convinced and is looking for a reason to say no.
This is why the spec-first description fails even when the specs are excellent. "500 ml, double wall, 18/8 stainless steel" is a sentence written for a warehouse, not for a person deciding whether the bottle will still be cold at four in the afternoon. The information is the same. The work of translating it has simply been left to the reader, and the reader has six other tabs open.
The rewrite is not marketing. It is the same fact carrying its consequence: what it is made of becomes how long it stays cold, a weight becomes a bag it does not pull down, a lid becomes a bag it does not leak into. Nothing has been added; the shopper just does not have to do the arithmetic.
That is also the reason a generator is useful here and not only a convenience. Writing the same product three times - short for a marketplace, medium for your own store, long for the page nobody else competes on - is mechanical work with a judgement call inside it, and the tool gives you the three drafts so the judgement is the only thing left to do.
Three specs, three translations
The left column is what most sellers write, because it is what the supplier sent. The right column is what the shopper is actually buying. The distance between them is the whole job.
500 ml, double wall, 18/8 steelarrow_forward0.6 kg, 26 cm tallarrow_forwardScrew lid, silicone gasketarrow_forwardThe spec is not the problem. The problem is that the spec is all there is: the shopper has to do this translation alone, and mostly does not.
One product, three lengths
| Where | Length | What it has to do | What it must not do |
|---|---|---|---|
| Marketplace listing | 100–160 characters | answer "is this for me" before the fold | repeat the title |
| Own store, above the fold | 300–450 characters | give the one reason to care, then the details | start with the brand's history |
| Own store, full page | 700–1,000 characters | remove the last objection and name the alternative | invent a guarantee |
| Social caption | 1–3 sentences | sound like a person who used it | read like the product page |
| Email or newsletter | 2 sentences + a link | earn the click with a concrete detail | describe everything |
The three versions are not a long text cut into pieces. The short one is a complete argument; the long one is the same argument plus the questions that appear in the reviews of your competitors. If you only have time for one, write the medium one and shorten it by deleting sentences, never by deleting facts.
What goes in, what stays out
Material, dimensions, weight, capacity, colour, what is in the box, power or battery, compatibility, care instructions, the problem it solves and who it is for. A line of context helps more than a page of specs: "people buy it for the gym, they complain that other bottles sweat" gives the writer something to answer.
Real numbers are worth more than adjectives. "0.6 kg" lets the copy say it does not pull a bag down; "lightweight" lets it say nothing at all.
The model is instructed to use only what you supply, which is why the input matters: no certification, no warranty period, no "dermatologist tested", no delivery time, no price. If a claim is not in your text it will not appear in the output, and if it does appear you did not supply it by accident - you supplied it as an assumption.
That rule exists for a legal reason as much as a stylistic one. A description is an offer: what it says about materials and performance is what the customer is entitled to receive.
Most marketplaces cap titles around 200 characters, bullet points around 200 each and descriptions around 2,000, and they dislike emoji, ALL CAPS, promotional words like "best seller" and competitor names. The tool keeps the short version under 160 characters for exactly that reason.
Amazon's own style guide asks for the benefit before the feature and no subjective claims; Etsy rewards the first 160 characters because they become the search snippet; Shopify uses the first paragraph as the meta description when you do not set one. Same product, three different first sentences - which is why the tool writes three.
Writing the input that produces good copy
Start from the review section, not the spec sheet
Before you type anything into the box, read ten reviews of a competing product. Not to copy them - to collect the sentences customers write when they are happy or angry. "The lid threads are plastic so it tastes like plastic after a day" is a specification with a consequence attached, and it tells you which fact belongs in the first line of your description. Reviews are the only place where shoppers describe the product in their own words, and their words are the ones that will make a stranger understand.
Then write the input in three layers. Layer one is identity: what the product is, in the words a customer would use, not the model number. Layer two is the facts: material, size, weight, contents, compatibility. Layer three is the situation: who buys it, when they reach for it, and what they were using before. The third layer is what turns a correct description into a convincing one, because it lets the copy refer to a moment instead of a category.
Edit the output like an editor, not a writer
The draft will contain one or two sentences you would not have written. Keep them if they are true and specific; delete them if they are true and empty. "Built to last" is true of almost everything and therefore says nothing; "the gasket is a separate part you can replace" is a sentence a customer remembers two years later when the bottle starts to leak.
Check three things before you publish. Every claim traces back to a fact you supplied. Every number is one you can defend if a customer asks. And the first sentence works alone, because on a marketplace it is the only one that will be read before the scroll.
Why benefit bullets beat paragraphs
Bullets are scanned in a fraction of a second and each one is a separate decision point. That makes the order as important as the content: put the reason people buy the thing first, the objection they arrive with second, and the details they only need if they are still reading third. Five bullets is not a limit imposed by the tool but by attention - a sixth bullet is read by almost nobody and pushes the call to action off the screen on a phone.
Each bullet should be able to stand alone as a sentence, with the feature and the benefit in the same line: "Silicone sleeve: the outside stays dry in a warm car." If a bullet needs the previous bullet to make sense, it is a paragraph in disguise.
Keywords without keyword stuffing
Shoppers search in noun phrases: "insulated water bottle 500ml", "leakproof gym bottle", "bottle that fits cup holder". The tool returns eight of those phrases; use them where they belong - the title, one bullet, the meta description, the alt text of the photo - rather than repeating one phrase five times. Search engines have been able to read synonyms for a decade, and the repetition that used to help now reads as a page written for a robot.
A note on tone and honesty
A friendly tone is not the same as a cheerful one. Friendly means the copy sounds like a person explaining the product to someone standing in front of it; cheerful means exclamation marks doing the work of facts. If the product is a medical device, a food item or anything with a safety claim, write the input in a professional tone and keep the output literal - and have the claims checked by whoever is responsible for compliance, not by the tool.
The daily limit is there because each generation costs real money on the API. Five uses is enough to draft a product line; if you need more, run the whole catalogue in one sitting and keep the outputs in the same file, so the voice stays consistent across the shop.
Questions before you publish
Will it invent a warranty or a certification?expand_more
Can I use the output as it is?expand_more
Does it work for services and digital products?expand_more
Which tone should I pick?expand_more
Is the output translated if I choose another language?expand_more
Turn the spec sheet into a page
Paste what you have, pick the category and the tone, and take the three versions to your shop.
fact_checkQuick facts
- A product description answers what the item is, who it is for and what changes after buying it; the spec sheet answers none of those.
- Shorter paragraphs survive a mobile product page: a block of eight lines is scrolled past, three lines are read.
- A language model reads text in tokens, and one token is roughly four characters of English, so a 300-word answer is about 400 tokens.menu_bookOpenAI Cookbook
- The output depends on the prompt: the same request with a different tone or length instruction produces a different text, not a different answer quality.menu_bookOpenAI Cookbook
- Google builds a title link and a snippet from the page itself, and it may use a heading or a sentence from the body instead of the meta description.menu_bookGoogle Search Central
helpQuestions people ask
How do I write a product description that sells?expand_more
How long should a product description be?expand_more
Can an AI product description hurt my shop?expand_more
hubWhat this page is about
- Large language modelopen_in_new
A model that predicts the next token of a text; the site sends the prompt to a hosted model and returns its answer.
- Answer engine optimisationopen_in_new
Writing a page so that a search engine or an AI assistant can lift one clear, sourced answer out of it instead of guessing.
library_booksOfficial sources cited on this page
- How to count tokens with tiktokenOpenAI Cookbook
- How Google generates titles and snippetsGoogle Search Central
- FAQPage structured dataGoogle Search Central
- HowTo structured dataGoogle Search Central
Keep going with the next tool
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Switched-off tools are not listed here: only what works right now.