Content generation
Produce text, visuals and marketing material at scale (product descriptions, articles, creative variations) in your brand's voice.
What is it, in practice?
AI content generation produces text, images and supporting material at scale. Properly framed, with your brand's tone and rules, it multiplies your teams' output without diluting your identity.
Writing a thousand product descriptions, drafting first versions of articles, adapting one message for several audiences: these jobs take time, and this is exactly where AI generation saves the most. It never starts from a blank page, but from a framework you set.
Without that framework, the risk is generic, off-brand content. So the value of a generation project lies less in the model than in how it is guided: your editorial guidelines, your examples, the things you never say, and a person who signs off. AI produces the material; your teams stay in charge of the meaning.
How it works
Set the editorial framework
We write down your tone, vocabulary, rules and no-go areas to guide every piece that is generated.
Prepare the templates
We create reusable templates and instructions for each type of content you need.
Generate at scale
Content is produced in bulk from your data: product descriptions, articles, variations, translations.
Review and approve
A human review step checks substance and accuracy before anything is published.
When should you use it?
- Generate product descriptions and variants by the thousand
- Draft first versions of articles and newsletters
- Create visuals and variations for your campaigns
- Translate and adapt your content at scale
What we deliver
- Generation tool aligned with your editorial guidelines
- Library of templates and prompts
- Review and approval workflow
Every project starts with scoping your needs and checking feasibility, before a single line of code.