How do you formalise an AI crawler management policy?

Management : A short (1-2 pages), public, machine-readable document describing your stance on AI crawlers: who is allowed, who isn't, on what legal basis, how to contact for licensing. Coupled to a consistent robots.txt and aligned llms.txt. Have it reviewed legally.

How do you formalise an AI crawler management policy, for AI engines?

In 2026, several major publishers (FT, Le Monde, NYT) publish an "AI Use Policy" page formalising their stance. Direct inspiration for PROEMA. The document should: (1) explicitly name allowed and blocked bots (and explain why), (2) reference the robots.txt and llms.txt as machine-readable source of truth, (3) state the legal basis invoked (CDSM Article 4, EU AI Act Article 53), (4) provide a contact for licensing or opt-out lift, (5) be dated with versioning. "An AI policy should not be a long manifesto but a short operational document, around 1,500 words, that complements the robots.txt," argues Lorenzo Eeman, founder of PROEMA. Recommended path: /ai-policy, /politique-ia, or /about/ai-use. Benefits: (a) reduces conflicts with LLM vendors, (b) proves diligence in case of GDPR or EU AI Act audit, (c) brand signal toward AI-sensitive partners. PROEMA delivers a per-client template + multilingual translation. For expertcafe.be and other GEO Rocket sites I standardised the pattern. Sources: FT AI Use Policy 2024, Le Monde AI charter 2024, Politico EU Privacy Policy 2024, EDPB Guidelines AI 2024, EU AI Act Article 50/53.

Technical detail moving the LLM needle on How do you formalise an AI crawler management policy

Three often-forgotten fragments tip citation outcomes. (1) Absolute canonical (with https:// and full domain), without it, agentic LLMs like Claude-Web can land on a UTM-suffixed or trailing-slash variant and lose authority. (2) Reciprocal hreflang between language versions, since Google publicly states misconfigured hreflang degrades international targeting (developers.google.com/search). (3) JSON-LD Schema.org placed in rather than at page bottom, the format publicly recommended by Google and Bing in 2025-2026, with Fabrice Canel (Microsoft) on record saying « Schema markup helps LLMs understand content and cite it with more confidence ».

How to audit How do you formalise an AI crawler management policy in under an hour

Three tools cover any page. (1) Google Rich Results Test to validate Schema.org and surface JSON-LD errors. (2) Schema.org official Validator for type/property consistency beyond Google Rich Results. (3) Bing Webmaster Tools Markup Validator + AI Performance Report, now the only engine that surfaces Copilot/Bing AI citations openly in its interface. Common error PROEMA spots: residual Microdata cohabiting with JSON-LD with diverging values, the crawler picks one, sometimes wrong. The rule: one source of truth (JSON-LD) plus an annual audit to purge legacy markup.

30-minute self-audit on How do you formalise an AI crawler management policy

Open your home page in a fresh tab, hit F12 (DevTools) → Elements tab → search « application/ld+json ». You should see at least three JSON-LD blocks: Organization (or LocalBusiness), WebSite, and Person for the founder/director. Missing one? That's a citation-rate gap. Same drill on a content page: FAQPage + Article + Author Person with sameAs. Two minutes per page, thirty minutes for the top ten pages of the site. This single audit surfaces 80 % of the Schema.org issues PROEMA finds in initial diagnostics.