A system that writes the first draft of a product description before you've opened the spreadsheet A store adds three hundred new products in a single month, and every one needs a description — different from the competition's, on-brand, ready for SEO. The content team simply can't keep up, so some products go live with a description copied straight from the supplier, or with none at all.
Ready to publish without client data. --- # A system that writes the first draft of a product description before you've opened the spreadsheet
A store adds three hundred new products in a single month, and every one needs a description — different from the competition's, on-brand, ready for SEO. The content team simply can't keep up, so some products go live with a description copied straight from the supplier, or with none at all.
The catalog grows faster than the team's ability to write about it. New products, new categories, seasonal variants — each needs copy, and writing a hundred descriptions by hand in the same week while keeping a consistent tone isn't realistic with the current headcount.
The result: some descriptions get copied word for word from the supplier, some stay blank, and the ones written in a rush differ in style enough that the catalog reads as if five different people wrote it.
We build a system that generates a first draft of the description from the product's own data — specs, category, features — in your brand's tone, agreed at the start using concrete examples. Every generated text goes live only after a member of your team approves it, never automatically.
We train the system on examples of your own best, already-published descriptions, so generated text sticks to your vocabulary and length rather than an averaged internet style. The approval panel shows the generated text next to the source data, so an editor can immediately see whether the system invented anything.
What we don't do: we never publish a single piece of text without human review — the system prepares material for approval, it doesn't replace the editor who's accountable for what goes on the site.
This is a new service line — we don't yet have published deployments to show off, and we say so directly rather than inventing references. We run first deployments on preferential terms, in exchange for the right to describe the result, without client data, as a reference case.
The scope covers one type of content — for example, product descriptions in one category of your range.
Price depends on the number of content types to generate, the complexity of your product data, and whether integration with your sales system is needed. You know the amount after the example analysis, not before it.
A human in the loop. No text goes live without approval from someone on your team.
You set the success threshold. Before we start, we agree on what share of generated descriptions must be approved without major edits for the rollout to make sense.
Code and configuration in your repository. The generator's settings and prompts land in a repository you control, not us.
The same team that builds content generation systems also runs the rollouts for our other automation services — so the number of new projects we take on each month is limited.
Send us an example of your current descriptions and how much new content you need each month — we'll reply within a few business days with the scope of work and a firm price.
Every month without the system is a month where part of your catalog goes live with no description, or with text copied from a supplier — a straightforward path to weaker search visibility.
A system generating a first draft from your product data · tone matched to your own best, existing texts · published only after human approval · success threshold agreed before we start · configuration stays under your control.
No — every generated text waits for approval from someone on your team before it goes live.
We train it on your own already-published, best-performing descriptions — it sticks to your vocabulary, not an averaged style.
Yes, but we start with one test category to check quality before the system covers the full range.
The system flags missing data instead of inventing product features that aren't in the source.
We account for phrases and structure that matter for search engines, but never at the expense of readability for the customer — one without the other doesn't make sense.
Yes, the approval panel lets you correct the text directly before approving it, not just reject it.