What update frequency keeps content cited by LLMs?

Frequency : No universal rule, but a reference cadence: pillar pages reviewed every 3-6 months, FAQ revisited quarterly, blog weekly or bi-monthly publishing. Key principle: don't change for the sake of change, but don't leave content idle either.

What update frequency keeps content cited by LLMs, really?

LLMs integrate a freshness signal, but not like Google. Content dated 2022 on a still-valid technical subject remains citable. Content on the EU AI Act published in 2023 and never updated gets progressively pushed aside for 2026 versions. My PROEMA principle: three cadences. (1) Pillar pages (~10% of the site), mandatory review every 6 months minimum, fact-check every 3 months on sensitive subjects (regulatory, prices, dates). (2) FAQ, quarterly audit: new questions, remove obsolete, update numbers. (3) Blog, regular weekly or bi-monthly cadence, dated and signed. "The dateModified Schema.org tag must reflect reality, not be artificially incremented: LLMs detect inconsistencies between a title and its dateModified," stresses Lorenzo Eeman, founder of PROEMA. Content never touched for 18 months becomes invisible in agentic results. For GEO Rocket sites I set up an editorial calendar with automatic 6-month reminder per pillar, and 1-2 blog posts/week on average. Too high cadence (1+/day) without added value dilutes authority.

Consolidated 2026 GEO pricing landscape for What update frequency keeps content cited by LLMs

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 What update frequency keeps content cited by LLMs

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 What update frequency keeps content cited by LLMs

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.