JSON-LD Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used JSON-LD
Fred H.
Last position:
Software Architect and Developer at Personal project
Recurring problem in my own AI-assisted projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but remain difficult to follow and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions form a consistently linked knowledge graph, traceable from requirement to architecture decision – queryable by both people and AI agents. Technically based on RDF/OWL and a custom MCP server.
Result: Working MCP daemon, Docker image published automatically to GHCR, nine hexagonal modules, eleven ADRs (including an Open-Core licensing model). Requirements engineering and Ubiquitous Language hexagons are active. Public as a Community Edition under Apache-2.0 since 07/2026 (github.com/kogn-io/arknet), together with the Claude Code plugin and GHCR image; Open-Core model.
Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ, Interface Development, Software Architecture, Continuous Integration, Knowledge Management
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Dominic D.
Last position:
Senior GEO Strategist & AI Search Consultant at Venmate GmbH
- Industry: SaaS (Customer Success Management) – B2B
Comprehensive GEO implementation (Generative Engine Optimization) for a B2B CSM SaaS startup with a focus on AI Search Visibility and AI Citations in ChatGPT, Perplexity and Google AI Overviews – including a GEO workshop and a prioritized implementation roadmap.
- GEO Workshop & Roadmap: Conceptualized and delivered a GEO workshop (how LLMs work, AI Search Architecture, citation strategies); translated it into a prioritized implementation roadmap with impact/effort estimates
- Technical GEO Foundation: Robots.txt & llms.txt, Core Web Vitals & page speed, XML sitemaps for AI crawlers
- Schema & Structured Data: Gap analysis, implementation of Product/Service, FAQ, Article, Author and Organization schema, validation of coverage
- Content Architecture & GEO: Flat content architecture, topic clusters (pillar-and-spoke), 200–300 word chunks and answer-first content structure, E-E-A-T rollout through author pages
- Query Fan-Out & Prompt Anticipation: User prompt mapping, query fan-out, content gap analysis based on prompt coverage
- Citation & Backlink Strategy: AI citation analysis (news, Reddit, Wikipedia, listicles) and development of outreach and backlink strategies
Tools & technologies: Otterly.AI, PeecAI, Qforia (iPullRank), Schema Markup Validator, OpenAI Tokenizer, Prompt Coverage Monitor, ChatGPT, Perplexity AI, Semrush, Ahrefs, Framer CMS
Alexander S.
Last position:
AI Consultant for AI Voice Bot System at Rudolf Hörmann GmbH & Co.KG
- Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
- On-premise AI solutions with high compliance and performance requirements.
- Architecture decisions, operational setup, strategic prioritization & deployment.
- Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
- Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.
Robin W.
Last position:
Developer at agentic-engineer.online
agentic-engineer.online is my publicly testable live demo and at the same time the platform where I show my work. Originally created as a recruitment trial task, I have since continued to run it as my own demo, learning, and product project — on a Hetzner VPS behind a Cloudflare tunnel, through a multi-stage AI-orchestrated deploy pipeline with snapshot rollback. If a deploy step breaks, the system falls back to the last clean snapshot, the script is adjusted, the test repeated — empirical, test-driven, without hand tuning.
- Technically behind it: Python and FastAPI, an OpenRouter model cascade, SQLite persistence, and Cloudflare edge tuning.
- I am the developer and the strictest customer of my own AI work in one person — what started as a prototype has become a tool I use every day and against which I test my own products.
Jay B.
Last position:
Senior SEO Manager at CoachHub
- Developed and implemented data-driven SEO strategies aligning with business objectives.
- Continuously monitored and analyzed SEO metrics, optimizing online visibility and search rankings.
- Produced engaging and SEO-optimized content, enhancing the user experience.
- Implemented advanced technical SEO techniques for improved website structure and mobile-friendliness.
- Led outreach campaigns to secure high-quality backlinks, improving domain authority.
- Stayed current with the latest SEO trends, sharing knowledge with the team for a competitive edge.
Discover over 15,000 top freelancers
Statistics of experts using JSON-LD
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
1.3 years
Positions per freelancer
15
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Professional Services, Food and Beverage
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
40%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Germany using JSON-LD
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
JSON-LD experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Professional Services (67%)
- Food and Beverage (50%)
- Healthcare (50%)
- Retail (50%)
- Telecommunication (50%)
- Advertising (33%)
- Automotive (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What JSON-LD is
JSON-LD, short for JSON for Linked Data, is a format for expressing connected data in JSON. It adds semantic meaning to familiar web content without forcing teams to change the visible page structure. The format uses contexts, identifiers and typed properties to describe entities and their relationships in a machine-readable way.
Where it is used
Companies use JSON-LD to make websites and digital services easier for search engines, knowledge systems and data consumers to understand.
- Describe products, offers, reviews and locations with schema.org
- Connect people, organisations, products and web pages through stable identifiers
- Publish structured data for search features and rich results
- Support knowledge graphs, content platforms and linked data services
Ecosystem and tooling
Strong JSON-LD work often involves schema.org vocabulary, RDF concepts and the W3C JSON-LD specification. Specialists use validators, structured data testing tools, browser inspection, content management systems and APIs to check syntax and semantic consistency. They may also work with RDFa, Microdata, SPARQL or RDF serialisations when data must move across systems.
When companies need specialists
Freelance expertise is useful when structured data is inconsistent, missing from important templates or difficult to maintain across a large site. It also helps during migrations, international rollouts and platform changes where entity relationships and schema types can easily break.
- Audit existing markup and identify missing or conflicting properties
- Map business entities to suitable schema.org types
- Create reusable templates for CMS and commerce platforms
- Validate output and resolve warnings, errors and ambiguity
Project collaboration in Germany
German companies may bring in a remote specialist for a focused audit, implementation or handover, while on-site collaboration can help when JSON-LD touches product data, editorial governance or enterprise architecture. Clear documentation matters in both settings, especially when teams coordinate across German and English-language content.
What strong professionals deliver
A strong JSON-LD professional understands more than valid JSON. They can model entities accurately, choose suitable schema.org properties, preserve stable identifiers and explain trade-offs between search markup and broader linked data. They test rendered output, review edge cases and leave maintainable rules that content and engineering teams can use after the engagement ends.
Frequently asked questions
What clients ask us most about JSON-LD — answered in short.
JSON-LD is used to express linked, structured data in a JSON-based format. Companies commonly add it to web pages to describe products, articles, events, organisations and other entities for search engines and data systems.
JSON-LD keeps structured data separate from visible HTML, which usually makes templates easier to read and maintain. Microdata and RDFa place attributes directly in markup, so they can be useful in specific systems but may create more coupling between content and semantic data.
A strong JSON-LD freelancer often works with schema.org, RDF, semantic modelling, HTML, JavaScript-rendered content and content management systems. Knowledge of technical SEO, APIs, identifiers and validation tools is also valuable when the data supports search or knowledge graph use cases.
The right level depends on the scope. A small schema.org audit may need focused markup knowledge, while a large catalogue, migration or knowledge graph initiative requires experience with entity modelling, governance, automation and validation across many templates.
Yes. JSON-LD work is often suitable for remote collaboration because audits, template changes, validation and documentation can be handled through shared repositories and review tools. On-site sessions may help when specialists must align with German product, editorial or architecture teams.
Ask the JSON-LD specialist to explain the entity model, vocabulary choices and identifier strategy in plain language. Review validation results, rendered-page output, handling of missing data and the maintainability of the implementation rather than checking syntax alone.
JSON-LD can help search systems interpret page content and may support eligible rich results, but it is not a ranking guarantee. The markup must accurately reflect visible or relevant content, use suitable schema.org properties and be supported by overall site quality.
A JSON-LD engagement often involves more discovery than writing JSON. Clarify the source of truth, CMS constraints, schema.org scope, language variations, deployment process and who will maintain the templates after delivery.
The average hourly rate of freelancers in Germany who have used JSON-LD in their recent projects is 90 €, which corresponds to a daily rate of about 720 € based on an 8-hour working day.
Of the freelancers in Germany who have used JSON-LD in their recent projects, 40% hold at least a Bachelor's degree.
On average, freelancers in Germany who have used JSON-LD in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Germany who have used JSON-LD in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Germany who have used JSON-LD in their recent projects are Information Technology (100%), Professional Services (67%), and Food and Beverage (50%).
The most common business areas among freelancers in Germany who have used JSON-LD in their recent projects are Information Technology (83%), Product Development (83%), and Project Management (83%).
Main locations of FRATCH Experts, who have recently used JSON-LD
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
