Writing one product text at a time doesn't scale to a real catalog. The advantage of a PIM: generate hundreds of consistent, on-brand descriptions straight from your product data.
AI copywriting tools are everywhere, and they're good at one thing: writing a single, polished text from a prompt. But a retailer doesn't have one product to describe — they have thousands, arriving from dozens of brands, each needing a description that's consistent, on-brand and available in every channel and language. That's a different problem, and it isn't solved by typing one prompt at a time.
The difference is where the text comes from. A standalone tool starts from a blank prompt each time. In a PIM, the description is generated from the product's own structured attributes — material, dimensions, features — and applied across a whole filtered selection at once. You go from "write me a text" to "describe these 3,000 products, consistently."
A description is only as good as the facts behind it. When the AI can read clean attributes — the exact material, size, compatibility — it writes accurate, specific copy instead of generic filler. That's why enrichment and description generation belong together: structured data in, reliable copy out.
You define a prompt per attribute or category — tone, length, what to emphasise. The AI applies it to every matching product, so a whole category reads consistently.
Golden Examples let you show the AI exactly how a good description looks. It learns your structure and tone and holds it across the catalog — no drift between product 5 and product 5,000.
Translate via the DeepL integration, and generate channel-specific variants — concise bullet points for a marketplace, a richer description for your own shop — from the same data.
Every generated description lands in a review queue, marked with a robot icon. Approve individually or in bulk, edit where needed, and only then publish. The AI removes the typing, not the editorial control.
Consistent, complete, specific descriptions are also better for search. If your focus is search-optimised copy specifically, see creating SEO product texts with AI — this page is about generating descriptions at catalog scale.
Book a demo — we'll generate descriptions from a sample of your product data, in your brand voice.
Get started