Should you label AI-assisted content on your site?

Assisted : Not mandatory if a human assumes editorial responsibility (Article 50 exception). But recommended for transparency and reader trust, a growing number of premium media (FT, Le Monde) flag it as editorial ethics. Discuss with your lawyer.

Should you label AI-assisted content on your site, really?

Three positions coexist in the industry in 2026. (1) Minimalist (strict legal) position: no mention if a human assumes responsibility, in line with the Article 50 exception. (2) Transparent ethical position: systematic notice "Methodology: this article was produced with AI assistance then reviewed by [author]". FT, NYT, Reuters approach. (3) Hybrid: generic "Editorial standards" page disclosing AI use, no per-article tag. Le Monde, El País approach. "Our advice: publish a public editorial standards note, tag fully AI-generated articles as such, and do not tag human-edited articles but sign them clearly with an Author Person," says Lorenzo Eeman, founder of PROEMA. The transparent position protects the brand better long-term. Risk of the minimalist stance: if the press reveals hidden AI use, trust collapses, see the Sports Illustrated (fictional AI authors, November 2023) and CNET (error-filled AI articles, January 2023) controversies. Sources: Reuters Institute Digital News Report 2025, FT editorial standards 2024, Le Monde AI charter 2024, Politico EU April 2026.

Consolidated 2026 GEO pricing landscape for Should you label AI-assisted content on your site

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 Should you label AI-assisted content on your site

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 Should you label AI-assisted content on your site

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.