What is Article schema, simply put?

It is structured data on a blog post or article page that declares who wrote it, who published it, and when — turning implicit authority a human reader might sense from the page design into explicit, machine-readable facts an AI assistant can weigh.

What makes it specifically an 'authority signal'?

The authority comes from which fields are populated and how well they're backed up — a named author linked to a Person schema with real credentials, a consistent publisher entity, and accurate, current dates carry far more weight than an anonymous byline or a missing dateModified field.

Does Article schema matter more for medical content than other content?

Yes, because medical and health-adjacent content sits in a category where AI systems apply stricter trust thresholds before citing or repeating claims, so the authority signals Article schema carries have outsized influence on whether the content gets used at all.

Does ICG add full authority-signal Article schema to every blog post?

Yes, every blog post and insight article ICG publishes for a healthcare client carries Article schema with a named, credentialed author, a consistent publisher entity, and accurate publish and update dates.

Article schema (authority signals) — ChatGPT Ads India glossary

The structured facts that tell an AI assistant how much trust to place in a piece of health content before it repeats it.

Definition

In plain English, Article schema authority signals are the structured facts attached to a blog post or article — who wrote it, who published it, when it went live, when it was last checked — that let an AI assistant judge how much to trust the content before citing or paraphrasing it. A human reader might sense authority from a byline photo or a "reviewed by" badge; Article schema turns those same cues into explicit data a machine can evaluate.

Technically, it is schema.org Article (or its subtype, BlogPosting) JSON-LD, with properties like author linked to a full Person schema, publisher linked to an Organization or MedicalBusiness entity, datePublished, and dateModified. The authority signal comes not from the presence of these fields alone but from what backs them — a named author with real, verifiable credentials outweighs a generic "Admin" byline every time.

Why it matters for Indian healthcare marketers

Health content sits in one of the categories where AI systems apply the strictest trust filters before repeating a claim to a user, because the cost of citing wrong or unqualified medical information is real. This means an unattributed or thinly-sourced blog post — still the norm across much of the Indian healthcare content landscape — is at a structural disadvantage no matter how well it's written, simply because it gives the model nothing solid to evaluate its authority against.

Indian healthcare marketers who invest in properly credentialed, dated, and attributed content gain a real edge here, because so few competitors currently do this consistently. A blog post authored by a named doctor or specialist, linked through Person schema to their actual qualifications and registration, published by a clearly-identified clinic entity, and kept demonstrably current with an honest dateModified, sends exactly the signal cluster a model is trained to weigh favourably — and it does so without requiring any change to the underlying medical claims themselves, just to how transparently they're attributed.

There's also a compliance angle specific to India: NMC Section 6 restrictions on how practitioners can be promoted mean authority signals have to be built carefully — genuine credential attribution, not promotional framing — and ASCI guidelines apply the same discipline to any implied claim of expertise. Getting this right is as much a compliance exercise as an SEO one.

Stale dateModified fields are a quiet but common failure mode — content that hasn't been reviewed in years but still carries a recent-looking publish date undermines the very authority signal it's meant to project, once a model or a careful reader checks.

How ICG uses/measures/handles it in a live engagement

Every blog post and insight article ICG publishes for a healthcare client is built with full Article schema: a named author linked to Person schema carrying their real, compliance-checked credentials, a publisher entity tied to the client's Organization or MedicalBusiness schema, and accurate datePublished and dateModified fields that are never backdated or left stale.

ICG's named-experts byline system underpins this — content is routed to the appropriate credentialed author or reviewer for the subject matter, and every attribution claim is checked against what that person can genuinely and compliantly claim before publication, rather than assigned generically.

ICG tracks content freshness on a defined review cadence, updating dateModified only when a genuine review or edit has occurred, and monitors how well-attributed content performs in the AI Assistant channel in GA4 relative to older or less rigorously attributed pieces, feeding that comparison back into prioritisation of which older content gets a full authority-signal refresh next.