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Schema Markup (JSON-LD Structured Data)

•4 min read

Definition and How Schema.org JSON-LD Works

Schema Markup (typically implemented in JSON-LD format) is a standardized vocabulary from Schema.org embedded in a page's HTML head that translates human-readable content into explicit machine-readable entities such as Organization, Service, BlogPosting, FAQPage, and BreadcrumbList.

We implement connected @graph JSON-LD across every €1,500 to €4,500 landing page and €4,500 to €9,000 corporate website. Read our AI search optimization (GEO) guide.

Entity Linking (@id) for Google Rich Results and LLM Citations

Rather than outputting isolated JSON-LD blocks, linking entities via stable @id URIs (connecting a BlogPosting author and publisher to the canonical Organization node) eliminates entity disambiguation errors for Google Knowledge Graph and AI engines like Perplexity and ChatGPT.

Combine structured data with server-side rendering, technical SEO, and Progressive Web App performance. Pair entity graphs with Generative Engine Optimization (GEO). Connect all page entities via persistent @id URIs using Schema.org JSON-LD @graph & Entity Linking.

2026 European B2B Benchmarks and KPIs

The table below summarizes 2026 European B2B engineering, conversion, and budget benchmarks used to evaluate production readiness:

Dimension / Metric2026 B2B BaselineTop-Quartile Vezert Target
Implementation timeline6 to 12 weeks (manual workflow)2 to 4 weeks with Vezert system
Core Web Vitals & SEO compliance65 to 78 Lighthouse score96 to 100 score + full JSON-LD
Typical B2B project investment€8,000 to €25,000 standaloneIncluded in €1,500 to €9,000 tiers

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