Author schema and author pages for E-E-A-T in AI

Author schema is structured data that tells an AI model who wrote your content and why that person has something to say about the topic. It links every article to a real, recognisable expert instead of an anonymous brand. That matters because AI systems do not only weigh what a page says when they build an answer, but also how credible the source is. In this article you will learn what author schema actually is, how to build an author page a model genuinely uses, and how this fits into the broader E-E-A-T signals that shape your AI visibility.

What is author schema exactly?

Author schema is a piece of Person markup that you nest into an article’s structured data through the author property. Instead of only placing a name as text below the title, you give the model a fully filled-in identity card: this is the person, this is their job title, these are their profiles elsewhere, and these are the topics they know about.

In practice it hangs together with your Article markup. Google explains in its documentation that the author property should mark up an article’s byline, and that you can go further than just a name. By attaching a complete Person object, you explicitly record who sits behind the content. A search engine or language model then does not have to guess whether “Tanguy” is an author, a client or a random word in the text.

The difference with classic SEO lies in the intent. Author markup used to be about a nice-looking result in the search listings. Today it is about understanding: can a model place your author as a reliable source within a field? That is exactly the kind of signal that counts when an AI system decides which brands to name in its answer.

Why does AI care about author authority?

AI models pull content together from many sources and have to decide who to trust. Author authority is one of the signals that help determine whether your content is solid enough to cite. A model formulating an answer does not want to risk nonsense, so it leans on sources whose origin is clear and credible.

This is where E-E-A-T comes in: Experience, Expertise, Authoritativeness and Trustworthiness. It sits in Google’s quality rater guidelines and is not a direct ranking button, but a framework describing what good content looks like. Author schema is one of the ways to make that E-E-A-T machine-readable. You are not only telling the system that the content is good, you are showing who wrote it and why that person knows the subject.

For AI search this counts double. Where a classic search engine shows ten links and lets the user choose, an AI system chooses for itself and names a handful of sources. If you want to be among them, the model has to be confident enough about where your content comes from. How that weighing actually works is covered in our explainer on grounding: how AI decides what is true.

What belongs in good author schema?

A strong Person object describes the author completely enough that a model recognises a real expert in it. The core fields that do most of the work:

• name: the author’s full, consistent name, exactly as it appears everywhere else.
• jobTitle: the role, so the model understands their position within your organisation.
• worksFor: the organisation the author is connected to, linked to your company entity.
• url: the link to the author page on your own site, the anchor of the whole profile.
• sameAs: links to external profiles such as LinkedIn, a personal site or a knowledge base, confirming that this is the same person everywhere.
• knowsAbout: the fields the author has expertise in, which helps the model connect the person to the right topics.

sameAs and knowsAbout are especially valuable. With sameAs you connect your author to existing, verified profiles, so the model can confirm their identity through multiple sources. With knowsAbout you make explicit which topics belong to this person. Together they form the evidence: this is who the author is, and this is what they stand for. Only use those fields if they are genuinely accurate, because invented expertise falls apart as soon as the external sources say something else.

How do you build an author page that AI uses?

Author schema works best when there is a real, substantial author page behind it that the markup points to. The structured data is the summary, the page is the proof. An empty bio with only a name and a photo gives a model little to lean on.

An author page that does its job contains a full biography that makes experience and specialisation concrete, not in marketing language but in facts: how many years of experience, in which sectors, with which approach. Add links to the external profiles you also include in sameAs, so the stories line up. Show the articles the author wrote, so the connection between person and topics becomes visible. And make sure the page is technically well built so a model can read it easily, something we cover more broadly in content architecture for AI extraction.

The test is simple: if a human is convinced after reading the page that this person knows what they are talking about, then a model has enough too. Build the page purely for the markup and it shows in the thin content, and a model sees through that just as easily.

How does author schema fit into your broader authority?

Author schema does not stand on its own. It strengthens your entity, the way a model understands your brand and the people behind it as a recognisable whole. An author who is described consistently everywhere, with the same name, role and profiles, adds trust to your entire digital footprint. If that same name differs between your site, LinkedIn and your markup, you create exactly the doubt we describe in entity consistency for AI visibility.

It also fits into a bigger shift in how AI weighs authority. Mentions and recognisable experts often carry more weight than a pile of backlinks, a logic we work out in brand mentions over backlinks. An author who is known in your field and whose name appears outside your own site becomes a firmer anchor for a model than an anonymous editorial team. If you want the full picture, our GEO guide explains how these signals come together.

Is author schema worth it for every B2B company?

Honestly: author schema is not a magic button and certainly not a ranking guarantee. It is a supporting signal that only gains value once the content and the broader authority are in order. If you have content without real experts behind it, markup alone will not fix that. In that case, start with the basics: publish under the names of people who genuinely master the topic, and build consistency around them.

For most B2B brands this is good news, because you do not need an army of authors. A few genuine experts, described consistently everywhere and with a complete author page, do more than ten empty bylines. We would rather steer on visibility that delivers qualified leads than on a ticked-off technical checklist. If a full author operation does not suit where you stand today, we will simply say so. How these choices play out for B2B is covered in GEO for B2B.

Frequently asked questions about author schema and E-E-A-T

Is author schema a ranking factor?

No, not directly. E-E-A-T is a quality framework, not a switch in the algorithm. Author schema does make your author authority machine-readable, which helps with how models understand and weigh your content.

Do I really need separate author pages?

For strong author schema, yes. The markup points to a page, and if that page is empty, the model misses the evidence behind the claim. A full bio with external links is half the work.

What is the difference between sameAs and knowsAbout?

sameAs links your author to external profiles to confirm their identity. knowsAbout describes the topics they know about. Together they show who the author is and what they stand for.

The short summary

Author schema links your content to real, recognisable experts and makes your E-E-A-T machine-readable for AI systems. It is not a ranking guarantee, but an authority signal that strengthens your entity and increases the chance a model dares to cite your brand. It only works when real expertise and a substantial author page sit behind it. Want to know how we approach this? Take a look at our GEO optimisation. Book your free intake.