free tool

Author (E-E-A-T) schema generator

Build a Person JSON-LD with the author-citation fields AI engines weigh in 2026 — knowsAbout, sameAs, credentials, employer. Fill the fields, copy into your <head>. Runs in your browser.

Full name Job title Author/profile page URL Photo URL Works for (organization) Organization URL Knows about (topics, comma-separated) Credentials / degrees (comma-separated) Alumni of (school) Profiles / sameAs (one URL per line)

JSON-LD

Paste inside <head> as <script type="application/ld+json">. Add it to author bio pages and articles. Validate this schema →

What this tool checks

Author schema is Person JSON-LD structured data that names who wrote a page and states their expertise, credentials, employer and verified profiles in a machine-readable form. It hands ChatGPT, Perplexity, Google AI Overviews and Search an explicit, parseable author identity to attach to your content — the E-E-A-T signals engines weigh when deciding whose answer to trust and cite. Without it, a byline is just text an engine cannot verify.

What it looks at

Person @type: The root object that declares the byline is a real individual rather than free text, so engines can resolve the author as an entity and link them to the article they wrote.
knowsAbout topics: An array of the subjects or entities the author is an authority on, telling AI engines which questions this person is a credible source for and reinforcing topical E-E-A-T.
sameAs identity links: Links to the author's authoritative profiles such as LinkedIn, ORCID, Google Scholar or Wikipedia, letting engines cross-verify that the person is real and match them to their reputation across the web.
hasCredential: Machine-readable degrees, licenses or certifications (EducationalOccupationalCredential) that back the 'Expertise' and 'Authoritativeness' of E-E-A-T with concrete proof.
worksFor / employer: The Organization the author is affiliated with, tying their personal reputation to an established entity and adding institutional trust.
jobTitle: The author's role or profession, giving engines a plain-language handle on why this person is qualified to speak on the topic.

How to use it

Enter the author's name, job title, expertise topics (knowsAbout), credentials and profile URLs (sameAs).
Copy the generated Person JSON-LD block.
Paste it into the page's <head> — or reference it as the article's author — and validate it with the Schema Markup Validator (validator.schema.org); use Google's Rich Results Test once the Person is nested as an Article's author.

Frequently asked questions

What is Person JSON-LD and why do AI engines cite it?

Person JSON-LD is structured data that describes an author as a machine-readable entity — name, expertise, credentials and verified profiles. AI engines use it to confirm who stands behind a page and how qualified they are, which raises the odds your content is trusted and cited.

Where do I put the generated author schema?

Paste the <script type="application/ld+json"> block into the <head> of the page the author wrote. For blog posts, link the Person as the author property of the Article schema so the byline resolves to the same entity.

What should I put in sameAs?

List the author's authoritative, verifiable profiles — LinkedIn, ORCID, Google Scholar, Wikipedia, a personal site or an industry directory. These let engines cross-check that the person is real and match them to their reputation elsewhere on the web.

Does author schema improve E-E-A-T and rankings?

Author schema doesn't directly boost rankings, but it makes your E-E-A-T signals explicit and machine-readable, helping Google and AI engines attribute expertise correctly. It matters most on YMYL topics where source credibility decides who gets cited.

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