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Structured Data Experts

SCHEMA MARKUP SERVICESTHAT ACTUALLY VALIDATE

Structured data that accurately describes your business, its services and its relationships.

You've probably been told schema markup is important. Maybe you've even tried to implement it yourself or paid someone to do it. And there's a good chance it's either broken, incomplete, or completely useless.

Schema can validate and still describe the wrong organisation, contradict the page or contain an unsupported claim. An audit needs to check the facts and relationships as well as the syntax.

We select types and properties that describe your actual business, connect the relevant entities and validate the result against Schema.org. We also check that the markup agrees with what visitors can read on the page.

WHY YOUR CURRENT SCHEMA ISN'T WORKING

Here's what usually goes wrong with schema markup:

Unchecked Generated Markup

Automated schema needs checking against the real business. A plugin may produce useful markup, or it may leave gaps and conflicts. We inspect the output before deciding what to keep, extend or replace.

Copy-Paste Implementation

Someone grabbed a schema template from the internet, changed a few fields, and called it done. Except they left the example URLs in place. Or duplicated @id references. Or used deprecated properties. Google's Rich Results Test says it's fine. Schema.org validator says it's broken.

No Entity Relationships

Disconnected or conflicting identities can make the business harder to describe consistently. We connect services to their provider and people to their real roles, without inventing offices, ownership or credentials.

The Result:

A valid-looking block of code can still describe the wrong business, repeat an unsupported claim or contradict the page. We check the facts as well as the syntax.

SCHEMA ENGINEERING, NOT SCHEMA GUESSING

We approach schema markup like engineering, not decoration. Every implementation follows a structured methodology: Audit, Architecture, Implementation, Validation, Documentation.

15+ Schema Types

Organization, Person, LocalBusiness, Service, FAQPage, BreadcrumbList, and more

Entity Relationships

Proper @id references connecting your entire business graph

AI Crawler Config

Separate access checks for search, training and user-requested retrieval

Speakable Markup

Voice search optimisation with proper speakable schema implementation

COMPLETE SCHEMA MARKUP IMPLEMENTATION

Every schema implementation includes:

Core Business Schema

  • Organization with full business details
  • Person schema for key team members
  • LocalBusiness with location data
  • ContactPoint for all contact methods
  • sameAs links to all social profiles

Service & Product Schema

  • Service schema for each offering
  • OfferCatalog with pricing
  • hasOfferCatalog relationships
  • serviceType categorisation
  • areaServed geographic targeting

Content Schema

  • FAQPage for all FAQ sections
  • BreadcrumbList for navigation
  • Article/BlogPosting for content
  • HowTo for process content
  • Review and AggregateRating

Technical Implementation

  • Hand-coded JSON-LD (no plugins)
  • @graph structure for relationships
  • Proper @id reference system
  • Schema.org validation certificate
  • Implementation documentation

WHAT WE CHECK

We validate the vocabulary with Schema.org and check the facts against the page. Google-supported rich results get a separate test. Neither validator proves what another AI provider uses or guarantees a citation.

HTML
Readable content
Check what the initial page response contains.
Schema
Accurate facts
Validate the markup and compare it with the visible page.
Access
Provider checks
Distinguish search, training and user-requested retrieval.
Sources
Evidence of results
Record actual answers and citations separately from technical scores.
51
Schema entries

H4TLT case study

Read about our work with H4TLT, a workplace hearing surveillance provider.

Read the H4TLT Case Study

SCHEMA MARKUP SERVICES: YOUR QUESTIONS ANSWERED

Schema markup describes people, organisations, services and other things using a shared vocabulary. We usually publish it as JSON-LD. It can state your business details and relationships explicitly, alongside the same facts on the page. Each receiving system decides whether and how to use it.

GET SCHEMA THAT ACTUALLY WORKS

Get schema checked against your business facts and the Schema.org vocabulary. We document what is implemented and fix validation problems within the agreed scope.

No obligation • 100% validation guarantee • Veteran-owned