Schema Markup That Goes Past the Basic Organization Block
A full JSON-LD graph across page types. Organization, Service, FAQ, Breadcrumb, Article, Product, MedicalBusiness. Built for rich results in classical search and entity clarity for AI tools.
Overview
Most websites we audit have schema, technically. They have an Organization block on the home page, often shipped by an SEO plugin, often with a missing or outdated logo URL. That's the entire structured-data footprint. AI engines and search engines are reading a much richer story than the site is telling.
Full schema markup means deploying the right Schema.org types across page types, with the relationships between entities expressed (an Organization owns a WebSite, a WebSite contains WebPages, a WebPage describes a Service, the Service has FAQs, the page has a Breadcrumb). That graph is what enables rich results in Google, knowledge-panel inclusion, and accurate citations from AI tools.
Engagements range from a single audit-and-implementation pass for a small site (typically 1 to 2 weeks) to ongoing schema work as new page types and services are added.
What is schema markup?
Schema markup is structured data added to a web page using the Schema.org vocabulary. Most commonly delivered as JSON-LD inside a <script type="application/ld+json"> tag in the page head. It tells search engines and AI engines explicitly what entities the page is about (organization, service, product, article, FAQ, etc.) and what attributes those entities have.
It's a complement to natural-language content, not a replacement. The visible content tells the human story; the schema confirms the entities and attributes for machines.
How we work
- Audit and content mappingInventory existing schema (often partial or invalid), map the site's content to the Schema.org types that match it, identify rich-result opportunities currently being missed.
- Schema architectureDesign the entity graph: Organization at the root, WebSite below it, WebPages below that, plus the specific page-type schemas (Service, Product, Article, FAQPage, etc.) and their relationships through @id references.
- ImplementationJSON-LD injected through the right layer. WordPress filter hooks, Laravel Blade includes, custom helper functions in PHP, or hand-written for static sites. Schema is generated from real page data, not hardcoded so it goes stale.
- ValidationEvery page type validated through Google Rich Results Test and Schema.org Validator. We test actual rendered URLs (Googlebot's view) not just the JSON output.
- MonitoringSearch Console Enhancements report tracked for each rich-result type. New eligible URLs counted, errors flagged as they appear, and a monthly written summary on the schema portfolio's health.
What this service includes
- Existing schema audit and validation report
- Entity-graph architecture design
- Schema implementation across all page types
- Dynamic generation from real page data
- Rich Results Test validation per page type
- Search Console Enhancements monitoring
- Specialty schema (Medical, Product, HowTo, etc.)
- Hand-written schema for non-CMS sites
- Schema generator helpers for ongoing pages
- Documentation for in-house teams to extend
Schema types we typically deploy
| Type | Where it goes | Rich-result benefit |
|---|---|---|
| Organization / LocalBusiness | Site-wide | Knowledge panel, business info |
| WebSite | Home page | Sitelinks search box |
| WebPage | Every page | Entity confirmation for AI engines |
| Service | Service pages | Service rich snippets, AI extraction |
| FAQPage | Pages with FAQs | FAQ rich results, AI Q&A surfacing |
| BreadcrumbList | Every page | Breadcrumb display in search |
| Article / NewsArticle | Blog posts | Top stories, article rich results |
| Product / Offer | Ecommerce | Product rich results, price/stock |
| MedicalBusiness / Physician | Healthcare | Medical knowledge panel data |
| HowTo | Process pages | Step-by-step rich results |
Engagement example
A 60-page B2B services site shipped one Organization schema block (with an outdated phone number) and nothing else. We deployed a full schema graph: Organization, WebSite, WebPage on every page, Service on each service page, FAQPage on every page with FAQs, BreadcrumbList, and Article on the blog. Search Console started showing FAQ rich results within two weeks.
Representative engagement. Client identity withheld for privacy.
Frequently asked questions
Want to know what schema you're actually shipping today?
Send your URL. We'll run it through Rich Results Test, Schema.org Validator, and our own audit and write back with what's there, what's invalid, and what's missing.