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Schema Markup Implementation.

Structured data is how you speak the language machines read. I design and implement clean, valid, entity-linked JSON-LD that makes Google and AI models understand your pages — and reward them with rich results and citations.

Why it matters

Content is for people. Schema is for machines.

Your page might read perfectly to a human — but a machine still has to guess what it means. Is that a product? A review? A person? An event? Guessing gets you ignored.

Schema markup removes the guessing. It labels every fact so Google and AI models know exactly what your page is — which is what powers rich results, knowledge panels and AI citations.

DEFINITION

Schema markup is structured data — usually JSON-LD — that labels the meaning of your content for machines, so search engines and AI models understand it precisely instead of guessing.

JSON-LD · Person entity
{
  "@context": "https://schema.org",
  "@type": "Person",
  "@id": "https://yoursite.com/#you",
  "name": "Your Name",
  "jobTitle": "What you're known for",
  "sameAs": [ "linkedin…", "youtube…", "x…" ]
}
What I implement

The right schema for every page

Organization & Person

Entity identity with a stable @id and a complete sameAs graph.

Article, FAQ & HowTo

Content schema that earns FAQ snippets, article rich results and how-to features.

Product, Offer & Review

Commerce schema for prices, availability and star ratings in the SERP.

VideoObject & Event

Video and event schema for video rich results, key moments and event listings.

Breadcrumb

Clear site hierarchy that shows up as breadcrumb trails in search results.

Sitewide entity graph

Every block connected by shared @ids into one coherent entity graph.

The process

How implementation works

1

Map

We map every page type to the schema it deserves and define your core entities.

2

Build

I write clean JSON-LD with connected @ids — no plugin bloat, no invalid markup.

3

Validate

Every block is tested against Google's Rich Results Test and schema.org until it's error-free.

4

Deploy & monitor

Markup goes live, then we watch Search Console for rich-result eligibility and fix any warnings.

What it unlocks

What valid schema earns you

Rich results

Stars, FAQs, prices, breadcrumbs and video thumbnails that make your listing stand out.

Knowledge panels

Entity schema that feeds Google's knowledge panels and brand SERP features.

AI citations

Machine-readable facts AI engines can trust, quote and cite confidently.

Higher CTR

Enhanced listings simply get more clicks than plain blue links.

Pricing

What schema markup implementation costs

Indicative pricing so you know roughly what to budget. Scope depends on the number of templates and schema types your site needs — the final quote comes after a short review.

Single Template
Clean, valid schema for one key page type — ideal for a landing page or profile.
from €450one-time
  • One page template (e.g. Person, Product or Article)
  • Clean JSON-LD with connected @id
  • Validated against Rich Results Test
  • Deploy-ready code
Get a quote
Most popular
Full Site Schema
Complete structured-data layer across all your key templates and page types.
from €1,600per project
  • All key templates (up to 8 types)
  • Sitewide connected entity graph
  • Organization, Person, Product, FAQ, Article & more
  • Full Rich Results Test validation
  • Search Console monitoring setup
Start a project
Schema + Monitoring
Full implementation plus ongoing validation as your site and Google's rules evolve.
from €350per month
  • Everything in Full Site Schema
  • Ongoing validation & error fixes
  • New schema for new page types
  • Monthly rich-results report
Enquire

Please note: prices are indicative and shown for guidance only. Actual cost depends on the number of page templates, schema types and site complexity. Get an exact quote after a free review.

FAQ

Schema markup, answered

What is schema markup? +
Schema markup is structured data — usually written in JSON-LD — that labels the meaning of your content for machines. It tells Google and AI models exactly what a page is about: a product, a person, an article, a video, an FAQ and more.
Why does schema markup matter for AI search? +
AI models and Google resolve content into entities and facts. Clean, valid schema makes those facts explicit and machine-readable, which drives rich results, knowledge panels and confident AI citations.
Which schema types will you implement? +
The right types for your content: Organization and Person for identity, Product, Offer and Review for commerce, Article, FAQ and HowTo for content, VideoObject and Event where relevant, plus Breadcrumb and a connected sitewide entity graph.
Will the markup be valid and safe? +
Yes. Every implementation is JSON-LD, validated against Google's Rich Results Test and schema.org, and follows Google's guidelines so it earns rich results without risking penalties.

Make your pages machine-readable.

Let's implement clean, valid, entity-linked schema that earns rich results and AI citations.

Get schema implemented →