Can AI write product descriptions?

AI can write product descriptions, and the first draft will be fluent, correctly structured and almost entirely generic. It does not know your supplier, your materials or why anyone chose you over the next shop, so every draft needs a human pass before it is worth publishing.

That limitation is the useful part of the answer, so this post is mostly about it: what the generated draft reliably gets right, the specific ways it goes wrong, and a checklist that turns 40 drafts into 40 publishable descriptions in an afternoon.

What the first draft gets right

Credit where it is due. Generated product copy is good at the mechanical parts, and the mechanical parts are what people avoid doing.

Structure. A hook, two or three benefit lines, a specification block, a closing nudge. Consistent across every product, which is more than most hand-written catalogs manage after the twentieth entry.

Coverage. It writes something for every product. The real alternative is not a beautifully crafted description — it is 30 products with a title and nothing else, because you ran out of evenings.

Tone matching. Tell it the brand sounds dry and practical rather than warm and chatty and it will hold that register, reasonably well, across a whole catalog.

On-page SEO plumbing. Meta title, meta description, heading order, image alt text. Dull, necessary, and the first thing a hurried human skips.

Variations. A short version for the collection grid, a long one for the product page, a one-liner for a social post. Rewriting the same facts at three lengths is tedious work that the machine does not mind.

What it gets wrong, and why it matters

Two failures, and they are not equally serious.

The first is genericness. The draft reads like every other description of that product type, because that is literally what it is: an average of everything similar the model has seen. It will say a candle "fills your space with warmth" and a tote is "the perfect companion for everyday adventures". Nothing is false. Nothing is yours either, and a shopper comparing three tabs cannot tell you apart.

The second is invented specifics, and this one costs money. Asked to describe a product, the model will supply the details a description normally contains — whether or not it has them.

The invented lines read exactly as confident as the true ones. There is no stylistic tell. That is why they survive a quick skim, and why "check the facts" has to be a step rather than an intention.

A generated draft, line by line

Here is the shape of a typical first draft for a ceramic mug, with what each line is worth.

Elevate your morning ritual. Our beautifully crafted ceramic mug combines timeless design with everyday durability. Handmade by skilled artisans from premium stoneware, it holds 12oz and is both microwave and dishwasher safe. The perfect gift for the coffee lover in your life.

Line one is a cliche and should go. Line two says nothing a photograph does not say better. "Handmade by skilled artisans" is unverifiable and probably invented. "Premium stoneware", "12oz", "microwave and dishwasher safe" are three factual claims the model had no source for — two of them are the ones customers complain about. The gift line is the only part doing commercial work, and it is the weakest sentence in the paragraph.

The edited version is shorter and harder to write, because it needs a fact:

A mug with a handle you can actually get two fingers through. Stoneware, 12oz, glazed inside and out. Dishwasher safe; we would keep it out of the microwave because of the glaze. Thrown in small batches, so the color varies slightly between pieces — that is the point.

Same product. One of these two paragraphs could only have been written by the person who sells the thing.

The edit checklist

Four passes, in this order, roughly a minute or two per product once you have the rhythm.

1. Delete the first sentence. It is almost always throat-clearing. If the second sentence works as an opener, you have saved a line and lost nothing.
2. Verify every number, material and claim against the supplier sheet or the item in your hand. Anything you cannot verify gets deleted, not softened.
3. Add one thing only you know. The flaw that is actually a feature, the use case nobody expects, why you chose this supplier. One sentence is enough to stop sounding like a catalog.
4. Cut to the length a buyer will read. Most generated descriptions are 30% longer than they need to be.

Then the rule that makes the other four safe: no description publishes without a human reading it. On mAutomate that is built into how the product works rather than left to your discipline — the AI drafts the copy and the on-page SEO, and nothing reaches the live store until the merchant approves it. The approval step exists precisely because of the invented-specifics problem above.

Where AI copy is genuinely the wrong tool

Regulated claims. Supplements, cosmetics, medical devices, children's products, anything with a safety standard. Do not let a model near the wording. Copy the approved text.

Products whose whole value is the story. A one-off piece, a commissioned work, a book you wrote. The description is the product. A model producing the median version of it actively loses you the sale.

*Technical catalogs where the spec is the description.* Industrial parts, components, compatibility tables. You need a data feed, not prose. Generated flavor text around a wrong tolerance is worse than no flavor text.

Translation into a market you do not know. It will produce fluent copy and you will have no way to tell whether it is persuasive, stiff or faintly insulting.

So: should you use it

Use it for the draft, always, if your catalog has more than about ten items. The saving is real and it is not primarily time — it is that the descriptions get written at all.

Do not use it for the final text, ever. The output is a scaffold with placeholders that look like facts, and your job is to replace them with facts.

That division is what the approval model is for, and the brief-to-store walkthrough shows where copy editing fits in a launch. Generating a catalog is included from $29 a month on any plan, with a 14-day trial and no card, which is the cheapest way to see how your own products read.