Structured data is the part of SEO most practitioners skip or do badly. Schema markup training is how you fix that gap — not by copying templates from a plugin, but by understanding what the markup actually tells search engines and AI systems, and building it deliberately. I have spent years building and auditing schema for complex sites, and this page covers how I actually teach it.

Why Schema Markup Training Matters Now

Schema markup has been around for years, but its importance has accelerated. AI Overviews, knowledge panels, and AI-assisted search results all rely on entity data — and your JSON-LD is part of how search systems build that entity picture. Sites with clean, connected structured data are not guaranteed to win, but sites with broken or missing schema are leaving real signals on the table.

Most SEO curricula cover schema in a paragraph. I cover it in a week, because it takes that long to actually understand what you are doing versus copying a block and hoping for the best.

Why JSON-LD, Not Microdata

There are three ways to add schema to a page. JSON-LD sits in a <script> tag and does not touch your HTML structure. Microdata and RDFa are embedded in your content. Google prefers JSON-LD, it is easier to maintain, and it does not break when a developer changes a template. In my schema markup training I do not touch Microdata or RDFa — JSON-LD is what you will use in practice.

The Anatomy of a JSON-LD Block

A basic JSON-LD block looks like this:

{
  '@context': 'https://schema.org',
  '@type': 'Article',
  'name': 'Your Article Title',
  'author': {
    '@type': 'Person',
    'name': 'Terry Samuels'
  }
}

The @context tells the parser you are using Schema.org vocabulary. The @type is the entity type. Properties hang off the type. The key discipline is choosing the right type and populating the properties that actually matter for your use case, not just copying a template someone posted in 2019.

In the training, we slow down here intentionally. Students build blocks by hand before they ever look at a plugin or generator. You cannot debug what you do not understand from first principles.

Understanding @graph Entity Linking

The @graph array is where schema markup gets powerful. Instead of isolated blocks on each page, you build a connected graph of entities across your site. An Organization node connects to a WebSite node. A Person node connects to the Organization. Pages connect to the entities they are about.

When done correctly, this tells Google exactly what your site is, who runs it, and how the entities relate. That is the foundation of knowledge panel eligibility and entity disambiguation in AI-driven search. Most sites have schema but not entity linking — and that is the difference between markup that helps and markup that sits there doing nothing.

We spend dedicated time in the curriculum on @graph construction, walking through a real multi-entity site and building the graph layer by layer. It is the module students most often say they had no idea they were missing.

What the Schema Markup Training Curriculum Covers

The structured data module in my SEO University cohort covers:

  • JSON-LD syntax and Schema.org vocabulary — reading documentation, not just following examples
  • Choosing the right @type for your content (the most common source of wrong schema)
  • Building @graph structures that connect entities across pages and domains
  • The schema types that actually matter in 2025: Organization, Person, LocalBusiness, WebSite, WebPage, FAQPage, HowTo, Article, Course, Event, BreadcrumbList
  • Auditing existing schema: finding broken @id references, duplicate blocks, and types misapplied to content
  • Validation: Google Rich Results Test, Schema.org validator, and reading Search Console structured data reports
  • Entity linking for AI-driven search — how schema intersects with AEO and AI Overview citation eligibility

This is hands-on. Students bring their own sites and we work through real markup, not toy examples.

The Schema Types I Use Most Often

  • Organization / LocalBusiness — the entity anchor for any business site; this is where your @id lives
  • Person — for authority figures; connects to Organization via memberOf or founder
  • WebPage / WebSite — sitewide context; include a Sitelinks SearchBox if eligible
  • FAQPage — still useful for AI Overview citations despite periodic Google fluctuations
  • HowTo — step-by-step content with clear discrete steps
  • Course / EducationalOrganization — relevant for training platforms like SEO University
  • Event — used for the SEOST conference and similar events

Common Mistakes I See in Audits

These come up in almost every site I audit, regardless of how long the site has been active:

  • Using WebPage on every page regardless of content type — a service page is not a WebPage, it is a Service
  • Missing @id values on entities (you cannot link what has no identifier)
  • Duplicating schema blocks instead of using @graph — five Organization blocks across a site does not mean five times the signal
  • Marking up things that are not actually on the page — Google considers this spam and can penalize it
  • Ignoring validation — always run through Google’s Rich Results Test and Schema.org validator before pushing live
  • Missing the sameAs property on Person and Organization — this is how you connect your entity to external knowledge sources

How This Compares to Self-Paced Courses

Schema markup training on Udemy or through a generic SEO certification program typically gives you a checklist: install a plugin, fill in these fields, you are done. That approach produces the kind of schema that validates but does not connect to anything, does not build an entity graph, and does not help with the AI retrieval layer that is increasingly important.

In a live cohort or one-on-one setting, I can look at your actual site and tell you where your schema is wrong, what is missing, and what the priority order should be. That is a different level of instruction. If you want to understand the difference between a certification and real training, that page covers it directly.

How I Teach Schema Markup

In my cohorts through SEO University, structured data gets a full week. We build a schema graph from scratch for a real site — not a toy example. Students leave the module knowing how to audit existing markup, write new blocks without a plugin, and connect entities across a domain. I also cover this in one-on-one sessions through my SEO coaching work, where we can go deep on your specific site architecture and entity strategy.

For teams and agencies, I offer schema-focused workshops through Salterra — a half-day or full-day intensive where your developers and SEO staff work through your live site together.

Related reading if you want to go deeper before committing to a training format: how to learn SEO, advanced SEO training, and the technical SEO section of the blog covers entity linking in detail.

If you want to go further, the SEO instructor page covers how to work with me directly — whether through a cohort, corporate training, or a standalone schema audit via Salterra.