ChatGPT for product descriptions: the limits of copy-paste

"I already do it with ChatGPT, for free." It is the objection we hear most often, and a fair one: ChatGPT (or Claude, or Gemini) writes decent product descriptions when you give it a good prompt. The question is not "does it work?" but "does it hold at catalog scale?"

This article covers product descriptions only. For the broader choice between a copywriter, a general-purpose chat and a specialized tool, see AI, copywriter or ChatGPT.

What ChatGPT does very well

For a one-off description, the general-purpose chat is unbeatable on flexibility:

• You paste the specifications, you get fluent text in thirty seconds.
• You iterate live: "shorter", "more technical", "add an FAQ".
• It costs nothing, or almost nothing.

If you have twelve products and some time, that is enough. The problem appears at two hundred.

Where copy-paste breaks

Context is lost with every description

ChatGPT does not know your catalog. With every product you start over: copy the name, the specifications, the price, restate the tone, repeat the constraints. Five to ten minutes of handling per description, review excluded, is 30 to 60 hours for 400 references in copy-paste alone. The promise of automation dissolves into logistics.

Consistency drifts

With no memory of your catalog, every generation reinvents the style. Description 40 is casual, description 41 is formal; one uses emoji, the other headings in capitals. Across a catalog the drift shows, and fixing it costs more than the writing did.

The SEO tags fall through the cracks

A product page that ranks needs more than a description: a 70-character title tag and a 160-character meta description, set on a target keyword, with a preview of what Google will display. The chat can produce them if you ask, but who checks the lengths, description after description? Nobody: the metas stay empty and the click is lost.

Paraphrase is not differentiation

The common reflex, "rewrite this supplier description", produces a paraphrase: same information, different words. But duplicate content is an informational problem as much as a textual one. Without new data (your structured attributes, your angle, your photo), the text stays interchangeable.

And publishing stays manual

The last mile is the dumbest: copying the result into the PrestaShop back office, field by field, product by product, language by language. That is where "I'll rewrite the whole catalog with ChatGPT" projects die, at product 37, on a Tuesday evening.

What a tool plugged into the catalog changes

A specialized tool like Publium does not use better AI. It uses the same family of models, wired differently:

• It knows your products. The catalog is synced (name, attributes, categories, price, photo), so there is no copy-paste and the context is already there.
• It structures the SEO output. Description, title tag and meta description in the recommended formats, with a Google result preview and keyword-presence checks, on every page.
• It looks at the photo. For products with no data, generation from the cover image describes material, shape and use, something no text prompt can honestly invent.
• It publishes. One click, and the page is updated in PrestaShop through the module's API, in the right language, after your review.
• It holds consistency. Same tone, same formats, same structure across the whole catalog.

The difference is not the quality of a single description; a good prompter matches that. It is what is still true at description number 200: time per item, consistency, tags, publishing.

The comparison in figures

For a 200-product catalog, observed orders of magnitude:

• ChatGPT alone: 5 to 10 min of handling per description plus review plus copying into the back office ≈ 40 to 60 hours. Near-zero software cost, high human cost, fragile consistency.
• Freelance copywriter: €80 to €150 per worked description ≈ €16,000 to €30,000. Excellent quality, turnaround in months.
• A tool plugged into the catalog: batch generation, around 5 min of review per item ≈ 15 to 20 human hours plus a subscription. Consistency and tags guaranteed by construction.

The three approaches side by side, criterion by criterion: full comparison.

Our honest advice

Use both. The general-purpose chat stays excellent for exploring an angle, unsticking a text or brainstorming arguments. But bringing a whole catalog up to standard (differentiated descriptions, tags in the right formats, direct publishing) needs specialized tooling: it is what separates "I rewrote ten descriptions over a weekend" from "my catalog is up to date".

Publium's prices are on the pricing page, a monthly subscription with no minimum term.