Catalogue copy is the strongest case for generation and the easiest place to do damage. Two hundred products need two hundred descriptions, and no human writes that well by hand. But two hundred descriptions generated from the same template are two hundred near-identical pages, and near-identical pages are exactly what search engines decline to index. Volume and sameness arrive together.
Where AI clearly helps
- Product descriptions at volume. The core use case. A consistent structure across a catalogue, with the specifics filled from your attributes.
- Collection page intros. Two or three sentences explaining what is in the collection and who it is for.
- Ad variants. Ten versions of the same angle for testing. Fast, and the diversity is genuine if you ask for angles rather than rewrites.
- Abandoned-cart and recovery emails. Short sequence: reminder, nudge, last call. Written once, reused forever.
- Post-purchase and shipping updates. What was ordered, when it ships, what to do if something is wrong.
- FAQ and sizing pages. The questions customers actually ask, pulled from your inbox.
- Meta titles and descriptions. One per product, within the character limits, varied enough not to be duplicates.
Where it nearly got us in trouble
- Duplicate descriptions across variants. Five colourways generating five near-identical paragraphs. Consolidate onto one page with variant attributes, or the pages compete with each other.
- Attribute errors. Material, dimensions, care instructions, what is in the box. A generated attribute that is wrong produces returns, and returns cost more than the copy saved.
- Policy-adjacent claims. Shipping times, return windows, warranty, "ships in 24 hours". These are promises. Generated promises are the fastest route to a bad review.
- Compliance wording. Claims about health, safety, ingredients or origin. Keep these to what your supplier documentation states.
- Manufacturer copy reuse. Pasting supplier descriptions in and asking for a rewrite leaves you with the same text every other store has. That is a duplicate-content problem with extra steps.
- Inflated adjectives. "Premium", "luxury", "handcrafted" applied to a product that is none of those. Customers notice, and it shows in the return rate.
Editing time, from our 30-day benchmark
Our 30-day test measured roughly 22 minutes of editing per 1,000 words on the low-cost dedicated writer against about 8 minutes on the general assistant — near $7 per piece of your time at $30 per hour. Per description that is small; across a catalogue it is the whole cost. The saving comes from structure — one template applied to everything — not from skipping the attribute check.
A workflow that holds up
Write the description template once, with sections for what it is, who it suits, the specifics, and what is in the box. Feed each product's real attributes in as the source and never let a figure appear that is not in your product data. Group variants on one page rather than generating a page each. Rewrite supplier copy from scratch rather than paraphrasing it — paraphrased supplier text is still supplier text. Generate meta titles and descriptions per product with a variation instruction, because identical meta across a catalogue is a real problem. Then spot-check ten descriptions against the actual products before publishing two hundred; the errors repeat, and ten reviews will show you the pattern.
Structure scales; attributes do not
One template across the catalogue, real attributes in every slot, ten spot-checks before you publish two hundred.
Try Rytr →Frequently Asked Questions
Can AI write all my product descriptions?
It can produce them at volume from a template. Every attribute — material, size, care, what is in the box — has to come from your product data, and variants should share one page rather than generate five near-identical ones.
Will generated descriptions hurt my search rankings?
The risk is duplication, not generation. Near-identical pages across variants, or paraphrased supplier copy, are what search engines decline to index.
Should I rewrite my supplier descriptions with AI?
Write from scratch instead. Paraphrasing leaves you with text every other stockist also has, which is a duplicate-content problem regardless of who wrote it.
What should a small store set up first?
The description template and the three-email abandoned-cart sequence. Both repeat across every order and both are currently written inconsistently.