Writing a product description is one of the most repeated jobs in ecommerce, and AI makes the first draft fast. It also brings a specific risk: a language model fills gaps with things that sound right. Ask for socks and you may get "waterproof", "award-winning" or "rated five stars" without any of it being true. On a product page, an invented claim is a customer service problem at best and a compliance problem at worst.
This guide shows how to write product descriptions with AI while keeping every claim tied to a fact. The example used throughout is the free AI Product Description Generator in the ORVX tools hub.
Every example and amount on this page is illustrative. It shows the method and is not a benchmark, a quote or advice.
Facts in, copy out
The generator asks for the product's facts before anything else: its name and category, the features and specifications, and optionally the audience, the benefits you can stand behind, keywords, brand, tone, length and language. Those facts are the only source the model is allowed to use. The instructions forbid adding a specification, material, size, number or feature the input does not state, and forbid warranties, certifications, rankings, reviews and health or environmental claims unless the input states them.
It returns a title, a short description, a full description, selling points, a meta title, a meta description, tags and an alternative version with a different angle.
Every draft is checked before you see it
Instructions alone are not enough, so the copy is checked after the model answers. The checks look for:
- claims the facts do not support: warranties and similar promises, clinical or proven claims, certifications, health and safety claims, superlatives and rankings, review or sales claims, environmental claims and durability claims such as waterproof;
- numbers that do not appear in the facts;
- the wrong language;
- a meta title or meta description too long for search results.
A failed check sends the draft back once with the reason. A second failure is reported as a failure, never shown as if it were fine.
Worked example: what the checks catch
As an illustration only, suppose the facts entered for a pair of socks are: Northfield Merino Wool Crew Socks, category socks, "70% merino wool, 30% nylon. Midweight knit. Cushioned sole. Sizes S, M, L.", for hikers. Imagine a first draft containing this sentence: "Made from 80% merino wool, these waterproof socks are the best choice for hikers. Rated 5 stars." Run through the generator's audit, that draft produces four problems:
| Found in the draft | Why it is flagged |
|---|---|
| "best" | A superlative or ranking claim the facts do not state |
| "Rated" | A review, rating or sales claim the facts do not state |
| "waterproof" | A durability claim the facts do not state |
| 80 and 5 | Numbers the facts do not contain (the facts say 70 and 30) |
The meta title "Merino Wool Crew Socks | Northfield" is 35 characters, inside the 60-character target, so it passes. A title like "Northfield Merino Wool Crew Socks, Midweight, Cushioned Sole, Unisex Sizes for Everyday Hiking" runs to 94 characters, past the hard limit of 70, and would be sent back.
A clean version keeps to what was entered: a midweight merino and nylon blend, a cushioned sole, three sizes, written for people who hike.
How to get better copy
- Give real specifications. Materials, dimensions, care instructions and what is in the box. Specific facts produce specific copy.
- State the benefits you can defend. If a fabric is quick-drying and you can show it, say so in the benefits field. If not, leave it out.
- Name the audience. "Trail runners" gives the model a reader to write for.
- Enter two or three keywords people actually search for, not a list of twenty.
- Use the alternative version to compare angles, then edit the one closest to your voice.
- Edit before publishing. Read every sentence against the product in front of you.
Once the copy is on the page, the Landing Page Conversion Auditor checks whether the page around it answers shoppers' other questions: price, shipping, returns and a clear call to action. To see how competitors describe similar products, the Competitor Store Analyzer reports description length and page completeness across a catalog sample.
Common mistakes with AI product copy
- Entering only a product name. With no facts, a model either writes vague copy or invents details.
- Accepting confident numbers. A percentage that sounds precise is still invented if you did not supply it.
- Copying the same template across a catalog. Near-identical descriptions help neither shoppers nor search engines.
- Keyword stuffing. Repeating a phrase makes copy harder to read without making it more useful.
Limits of the generator
The checks are pattern-based. They catch the common forms of invented claims and numbers, not every possible misstatement, which is why a person should read the copy before it goes live. The generator cannot verify that the facts you enter are true. It needs the AI service to be available, and there is a small daily limit per visitor. What you enter is sent to the AI provider to generate the copy; product facts only, so do not include anything private.
For the rest of the storefront, the Shopify Store Health Checker audits titles, descriptions and technical setup across the site.
Knowing which products to write for first
Better copy matters most on the products that earn the most. ORVX Core reads your Shopify orders and product costs and shows profit per product and collection, so you can see where an improvement pays back.
The $1.9M Commerce Initiative gives 10,000 eligible Shopify stores 12 months of ORVX Core at no cost and with no credit card. After that, Core is the standard $19 per month or $190 per year if you choose to continue. The remaining free tools are in the ORVX tools hub.
Frequently asked questions
Can I publish the generated copy as it is?
Read it first. The checks catch invented claims and numbers, but only you know whether the tone and emphasis fit your brand and whether every fact you entered is current.
Which languages are supported?
English, Arabic, Spanish, French and Brazilian Portuguese. Arabic output is checked to be written in Arabic script.
What happens if the copy fails a check?
The generator asks the model once more, with the reason. If the second attempt also fails, it reports a failure rather than showing copy that broke the rules.
Will it add keywords for SEO?
It uses the keywords you enter, naturally, and keeps the meta title and description within search-friendly lengths. It does not add keywords you did not give it.
Is there a limit?
Yes, a small number of generations per visitor per day, shown on the tool page.
Sources
- The $1.9M Commerce Initiative: terms and FAQ (ORVX, checked 26 October 2026)