AI in marketing, without sounding like everyone else
Produce more, yes: posts, articles, newsletters. But never at the cost of a generic tone that erases your brand, or of a campaign that breaks Swiss law.
Marketing manager, communications officer, agency or freelancer: you produce for several channels every week, and AI promises speed. Left unframed, it delivers an interchangeable tone, claims nobody has checked before publication and visuals nobody holds the rights to.
The point is not to give up on AI, your competitors already publish with it, but to make it write in your voice and within the rules of Swiss law.
- Hours lost rewriting AI copy too bland to sign
- Campaigns published without checking claims or usage rights
- Contact lists emailed without verifiable consent
- A brand voice diluted, one publication at a time
See for yourself
A prompt structured in 5 blocks: Instruction · Role and audience · Data · Constraints · Format. An unframed AI invents; the frame stops it.
In a workshop, we build these prompts for your channels: each one locks in your editorial guidelines, your proof points and its guardrails, so that every publication remains recognisably yours.
Charte éditoriale · la voix de l’entreprise, écrite une fois
Your tone, banned words and proof points written down once, then reused by every prompt that writes for you.
See it in Chaptal →Post LinkedIn long format (story-driven)
A structured story that hooks from the first line, in your voice rather than the model’s.
See it in Chaptal →Contrôle des allégations publicitaires avant diffusion (LCD)
Every claim in a campaign screened before publication, so you publish without fearing a complaint.
See it in Chaptal →30 use cases cover your line of work in the Chaptal catalog, out of 750 in the corpus · each one states what it produces, what it expects from you, and what it refuses to do.
« Le Collaborateur, augmenté »
Your teams learn to make AI write in your voice, on your own content and channels.
See the training →AI audit & advisory
A review of your current AI usage: the consent behind your contact lists, usage rights, and the tools your teams already use.
See audit & advisory →Foire aux questions
Does Google penalise AI-generated content?
Search engines demote mass-produced content with no added value, not the tool that wrote it. A framed prompt forces your expertise, your examples and your proof into the text; that substance is what makes the difference.
Will our readers notice it was written with AI?
They will if you publish the raw output of a general-purpose tool. The Palambur Method imposes your editorial guidelines, your phrasing and your examples, and human review remains the rule before anything goes out.
Who owns the rights to generated texts and visuals?
It depends on each tool’s terms and on what it drew from to produce the result. Our use cases build that check into the workflow before publication, for images as well as music and testimonials.
Can we use AI for our email campaigns?
Yes, provided your contact list rests on verifiable consent and every send complies with Swiss law. One use case in the catalog is dedicated to that check before sending.
Can we feed client briefs and budgets into an AI?
Not into a general-purpose AI without a data processing agreement: a brief or a budget is confidential data. We show you how to anonymise it, or how to choose tools that offer real guarantees.