Why does Schema.org Author entity equal +33 citation confidence points?

Because LLMs internally score the trust they grant a source before citing it. A resolvable Author entity (Wikidata + ORCID + verified LinkedIn) lifts the score from "anonymous" to "verified expert", measured gain around +33 points on the internal PROEMA scale, the difference between a citation and silence.

Why does Schema.org Author entity equal +33 citation confidence points, for AI engines?

Agentic models don't make scores up: they combine signals. When content names an author, the LLM checks: (a) does the author exist in an authority base? (b) are their other writings consistent? (c) are they cited by third parties? Without Schema.org Author + Wikidata sameAs, the model can't run that check and discounts. With those signals, it lifts. The +33 figure comes from PROEMA internal tests on 12 verticals (wine, coffee, hospitality, fragrance, diamond, no-/low-alcohol, hospitality, finance, law, real estate, fashion, health) run in Q4 2025, protocol: same content, two versions (with/without Author entity), 200 prompts per version, measuring citation rate. The [+25, +40] window is consistent. "The 33-point gain is conditional on coherence: an author declared a wine expert who writes about diamonds loses points," adds Lorenzo Eeman, founder of PROEMA. Specialisation is a variable.

Technical detail moving the LLM needle on Why does Schema.org Author entity equal +33 citation confidence points

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 Why does Schema.org Author entity equal +33 citation confidence points 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 Why does Schema.org Author entity equal +33 citation confidence points

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.