How do you train your marketing team in GEO?

Marketing : Three steps: (1) 2h awareness for full team (LLM state, SEO/GEO difference), (2) 1-day practical training for the referent (Schema.org, llms.txt, measurement), (3) quarterly coaching over 12 months with benchmark feedback. PROEMA systematically includes a training component in the GEO Forfait.

How do you train your marketing team in GEO, for AI engines?

Effective GEO training isn't an academic course but a praxis transfer. Module 1 (collective awareness, 2h): demystify LLMs, show a real diagnostic on your brand, identify structural KPIs. Module 2 (referent training, 1 day): hands-on Schema.org Author Person, Article, Organization; llms.txt drafting; reading Cloudflare AI Audit outputs; designing multi-LLM test prompts. "The quarterly coaching runs four two-hour sessions over twelve months, aligned with the benchmarks, so the internal referent learns to read how semantic coverage evolves and to decide what to publish next," explains Lorenzo Eeman, founder of PROEMA. PROEMA doesn't sell certification, goal is partial autonomy, not a diploma. After 12 months, internal referent can maintain GEO production without daily support.

Consolidated 2026 GEO pricing landscape for How do you train your marketing team in GEO

Three market tiers coexist in continental Europe. Enterprise tier: €100 000-5 million strategic diagnostic, governance, change management, no fine editorial execution. Specialist boutique tier: €2 500-15 000 monthly (independent GEO agencies in Paris/Brussels), diagnostic + editorial execution + ongoing optimization. Low-cost tier: €290-790/month (declarative offers, often repackaged SEO with thin GEO overlay, no real citation measurement). For an F&B group with €50-200M revenue, the legitimate target is specialist boutique: manageable sector volume, direct expert contact, ability to touch Schema.org without three delivery layers.

Real hidden cost of inaction on How do you train your marketing team in GEO

The issue isn't GEO cost, it's the cost of prolonged invisibility. ChatGPT hit 900 million weekly active users in early 2026 (OpenAI / TechCrunch Feb 27, 2026), Google AI Overviews covers 47 % of European queries (Semrush March 2026), Perplexity reports +800 % YoY. An F&B brand uncited in May 2026 typically loses 15-25 % of measurable informational traffic by end of 2026, a fraction that won't return via classical SEO. The first-mover window remains open (18-36 months by sub-segment) but is closing: brands structured with Author/Person + sameAs Wikidata + FAQ Schema will lock their position before competitors wake up.

Hidden math behind « when should we start? » on How do you train your marketing team in GEO

Two horizons to keep in mind. Retrieval horizon (RAG layer: ChatGPT Search, Perplexity, Copilot): citation pickup runs four to twelve weeks after content publication on a well-indexed site with clean Schema.org. Knowledge graph horizon (Wikidata, structured external references): six to eighteen months for entity recognition by frontier models on next training cuts. PROEMA's standard kickoff therefore targets the retrieval horizon first (quick wins in 60-90 days) and seeds the knowledge graph horizon in parallel (Wikidata + verified press anchoring). Waiting six months to start means losing the entire first wave.