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USE CASE · MARKETING

AI for marketing

Publish consistently without diluting what makes you different.

The starting point

Marketing is where AI has been used worst. Generating three hundred articles in an afternoon is technically easy, and it is exactly what search engines have been penalising since the practice spread. Our approach is the opposite: AI speeds up research, structuring and adaptation, but every published page rests on your real expertise and goes through a human who puts their name on it.

How the flow runs

  1. 01Human

    The brief comes from you

    A subject you master, a question your customers genuinely ask, an angle your competitors do not have. This is the one step that cannot be automated.

  2. 02AI

    Research and framing

    The AI gathers what already exists on your side, what competitors have published and the questions actually typed into search engines, then proposes an outline.

  3. 03AI

    Assisted writing

    A first draft is produced from your documents and your tone, with sources indicated. It is raw material, not a publishable text.

  4. 04Human

    Review and publication

    A human checks the facts, adds what only your company can say, cuts the generic parts and owns the publication.

What actually changes

  • The gap between an idea and a published page is measured in days rather than months
  • French and Spanish versions stop being a separate project
  • The pages that were never written for lack of time finally exist
  • Your real expertise gets more use, because formatting stops being the bottleneck

Where it applies

Site content and service pagesBlog and editorial contentProduct sheetsNewslettersSocial mediaTranslation and localisation

Two typical situations

A customer question that keeps coming back

Your reps answer the same technical question ten times a month. The AI gathers their past answers and proposes an outline; your expert reviews and completes it. The page exists within a week instead of waiting indefinitely.

A catalogue to adapt into three languages

Two hundred product sheets to translate. The AI produces a first version consistent with your terminology; a human validates technical terms and regulatory wording. The work goes from several months to a few weeks.

What we measure

Published volume is not a success indicator. What counts is what the pages bring in.

  • Time from brief to going live
  • Rankings achieved on target queries, three to six months after publication
  • Organic traffic and contact requests generated per page
  • Share of content heavily reworked at review — a good signal of first-draft quality
  • Citations of your pages in generative search answers

What the AI must not do here

This is the area where we turn down the most requests. These limits protect your rankings as much as your credibility.

  • Publish without human review: Google treats mass production of pages with no added value as abuse, with the penalties that follow
  • Invent figures, studies, testimonials or client references
  • Produce near-identical pages spun across keyword variations
  • Rewrite competitors’ content and pass it off as yours
  • Publish regulated claims — health, finance, safety — without validation by a professional in that field

The modules that deliver this scenario

AI knowledge base (RAG)AI governance

Publish faster, without publishing anything.

We set up a process where AI does the thankless work and your expertise remains what sets your pages apart.

Scope our production