Article Schema
Article Schema helps search engines and AI systems understand that a page is an article, who created it, when it was published, and what subject it explains.
Article Schema is not just for blogs.
Important distinction.
This Knowledge Catalog is not a blog.
But many pages in a Knowledge Catalog are still article-like pages.
They explain concepts.
They define terms.
They answer questions.
They document expertise.
That is exactly where Article Schema can help.
What Is Article Schema?
Article Schema is structured data used to describe written content.
It can identify:
- the headline
- the author
- the publisher
- the date published
- the date modified
- the article URL
- the article topic
- the organization behind the content
It helps machines understand the publishing context of the page.
Why Article Schema Matters
Search engines and AI systems care about source context.
They want to know:
- Who wrote this?
- Who published it?
- Is it current?
- What topic does it cover?
- How does it relate to the rest of the site?
Article Schema helps answer those questions in a structured way.
Article Schema Supports Topical Authority
Topical Authority is built by documenting a subject deeply and consistently.
Article Schema helps identify each page as part of that documentation system.
For example, a page about Semantic Search can be understood as an educational article within the broader Entity SEO topic cluster.
That makes the content easier to classify.
Classification matters.
Article Schema Supports Authorship
Authorship matters more than many businesses realize.
AI systems increasingly evaluate who is responsible for content.
Article Schema can connect a page to:
- an author
- a publisher
- an organization
- a Person Entity
This supports Person Entities, Person Schema, and broader trust signals.
Common Article Schema Properties
| Property | Purpose |
|---|---|
| headline | The article title. |
| description | A short summary of the article. |
| author | The person or organization responsible for the content. |
| publisher | The organization publishing the article. |
| datePublished | When the article was first published. |
| dateModified | When the article was last updated. |
| mainEntityOfPage | The canonical webpage for the article. |
Where Article Schema Should Be Used
Article Schema can be used on pages that primarily explain something.
Good candidates include:
- knowledge catalog pages
- educational guides
- research articles
- methodology pages
- definition pages
- resource pages
It should not be slapped onto every page just because it exists.
Schema should describe the page accurately.
A Simple Example
This is a simplified Article Schema example.
{
"@context":"https://schema.org",
"@type":"Article",
"headline":"What Is Entity SEO?",
"description":"An explanation of Entity SEO and how it helps search engines and AI systems understand businesses.",
"author":{
"@type":"Organization",
"name":"Firm IQ"
},
"publisher":{
"@type":"Organization",
"name":"Firm IQ",
"url":"https://firmiq.io"
},
"mainEntityOfPage":"https://knowledge.firmiq.io/entity-seo/what-is-entity-seo/"
}
Your actual implementation should match the real page, author, publisher, and publishing dates.
Article Schema Is Not a Blog Label
Let’s be honest.
People hear “Article Schema” and immediately think “blog post.”
That is too narrow.
An article can be a knowledge page.
A guide.
A reference entry.
An educational explanation.
The important thing is whether the page is primarily written content explaining a topic.
Common Article Schema Mistakes
- Using Article Schema on sales pages with little educational content.
- Leaving out author or publisher information.
- Using incorrect publication dates.
- Failing to update dateModified after meaningful updates.
- Using generic author names like “Admin.”
- Not connecting authors to real Person or Organization entities.
“Admin” is not an expert.
Admin is a login accident that became a byline.
Article Schema and AI Search
AI systems need reliable sources.
Article Schema helps provide context around a source.
It can support AI understanding by clarifying:
- what the article explains
- who published it
- who authored it
- how current it is
- which entity it belongs to
That does not guarantee an AI citation.
But it reduces ambiguity.
And reducing ambiguity is the whole point.
Here’s what we’ve learned: Article Schema works best when the article is actually worth understanding. The code can identify the page, but the content still has to earn trust.
Firm IQ Definition
At Firm IQ, Article Schema is machine-readable publishing documentation.
It helps search engines and AI systems understand educational content, authorship, publication context, and how a page supports topical authority.