Person schema (clinician author) — ChatGPT Ads India glossary
In plain English: it's the markup that tells an AI system "a real, named, qualified doctor stands behind this page" instead of leaving a claim to look like it came from an anonymous marketing team — and doing it in a way that stays inside NMC's rules on how a physician can be named at all.
Definition
Person schema (clinician author) is a schema.org markup implementation that attaches a real, named clinician's professional identity — qualifications, medical registration, specialty, and years of practice — as the author or medical reviewer of a specific piece of content on a landing page or article. Typically embedded as part of the page's Article or MedicalWebPage structured data, it gives search engines and conversational AI systems a machine-readable answer to "who is responsible for this claim," which is a meaningfully stronger trust signal than an unattributed brand statement. For a page linked from a ChatGPT Ads sponsored response, this authorship signal matters twice over: once for how confidently a search or AI system might surface the page in an unpaid follow-up citation, and once for how defensible the underlying claim is if it's ever questioned, since it's tied to a specific, checkable professional rather than the brand alone.
Why it matters for Indian healthcare marketers
Conversational AI systems increasingly weigh source credibility — not just keyword match — when deciding what to surface in response to a follow-up question, and genuine, verifiable authorship is one of the clearer credibility signals a page can offer. A landing page that reads as written and reviewed by a real, named, credentialed clinician is a fundamentally different trust proposition than an anonymous marketing page making an identical claim, and that difference increasingly shows up in whether a system chooses to cite or repeat the page's content in an unpaid follow-up exchange, which extends the paid campaign's reach without extending its spend.
But this is also where Indian healthcare marketers most often get the compliance balance wrong. NMC Section 6 places real restrictions on how a physician can be featured in promotional material — a named doctor's photo and credentials attached to what is functionally a sales pitch is a different, riskier thing than the same doctor's name attached to genuinely educational or informational content they authored or reviewed. Marketers chasing the AI-trust benefit of Person schema sometimes apply it indiscriminately across every page, including pages that are really advertisements, which recreates exactly the self-promotion exposure NMC Section 6 exists to prevent. The schema itself carries no compliance risk — how and where it's applied does.
Getting this right also compounds: a clinician whose named, credentialed content earns AI trust on one page tends to earn it faster on the next, because the underlying signal — is this a real, established source — accumulates across a body of correctly-attributed content rather than resetting per page.
How ICG uses/measures/handles it in a live engagement
ICG works with each healthcare client to identify a real, willing, credentialed clinician on staff — never a placeholder or borrowed name — to serve as the named author or medical reviewer for the informational and educational content that supports its ChatGPT Ads landing pages. That clinician's Person schema is scoped specifically to content ICG's compliance triage has already confirmed sits on the educational side of the line, not the promotional side, which is the same distinction NMC Section 6 draws and the reason triage happens before schema is applied, not after.
This is the same clinician-attribution model ICG already runs across its named-experts byline system on the core site, extended specifically to ChatGPT Ads landing pages and their supporting content — meaning a client's named clinician builds one consistent, verifiable authorship footprint across the whole engagement rather than a fragmented one per channel. It's included as a standard build element for every account, from a single named clinician on a single-specialty page to a full roster of specialty-matched clinician authors across a multi-specialty hospital group's full landing page set. Backed by App\Support\NamedExperts::get(). --}}
Related terms
Frequently asked questions
What is Person schema for a clinician author?
It is schema.org markup that attaches a named clinician's qualifications, registration details, and specialty to a piece of medical content, giving AI systems and search engines a machine-readable signal that a real, credentialed person stands behind the claim, rather than an anonymous brand voice.
Why does this matter for ChatGPT Ads specifically?
Conversational AI systems weigh source credibility when deciding what to surface or cite in a follow-up answer. A landing page with verifiable clinician authorship, marked up correctly, is more likely to be treated as a trustworthy source than an unattributed marketing page making the same claim.
Does naming a clinician on an ad-linked page create an NMC compliance risk?
It can, if handled carelessly — NMC Section 6 restricts how a physician may be used in promotional material. ICG scopes clinician-author schema to educational, informational content the clinician has genuinely authored or reviewed, not to self-promotional claims, which keeps the attribution compliant rather than exposed.
Who typically gets marked up as the clinician author?
ICG works with the client to identify a real, credentialed clinician on staff who is willing to be named as the author or medical reviewer of the content — never a placeholder name or an unverifiable credential, since both the compliance value and the AI-trust value of Person schema depend entirely on the underlying attribution being genuine and checkable.
Attribute your content to a real, credentialed clinician — correctly.
ICG builds NMC-compliant, verifiable Person schema into every clinician-authored page supporting your ChatGPT Ads campaign.
