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
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.
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.
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge 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 19 Sep 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 it does
JSON-LD is a way to describe data in JSON so search engines and other systems can understand it. Teams use it to add structured data to websites, apps, and content feeds without mixing the markup into the visible page.
Typical uses
- Product, article, and FAQ markup for websites
- Organization, person, and local business data
- Knowledge graph and entity linking work
- Schema.org implementation for SEO and content discovery
Core skills
Strong professionals know JSON syntax, Schema.org vocabularies, and how search engines read structured data. They also understand where JSON-LD belongs in the page, how to keep it valid, and how to avoid conflicting markup from other systems.
Tooling and workflow
JSON-LD work often sits alongside CMS templates, frontend rendering, and SEO checks. Experts use validation tools, browser inspection, and search console reports to confirm that the markup is readable and consistent.
When to bring in help
Companies usually bring in freelance support when structured data is missing, broken, or too hard for the internal team to maintain. It is also useful during site launches, migrations, redesigns, and content changes that affect search visibility.
What strong experts deliver
Good JSON-LD specialists write clean, maintainable markup that fits the page content and the business goal. In Germany, they often work with international teams, so clear documentation and reliable remote collaboration matter as much as technical accuracy.
Frequently asked questions
What clients ask us most about JSON-LD — answered in short.
JSON-LD is used to add structured data that machines can read more easily. In practice, that means product details, articles, FAQs, organization data, events, and other page information that can support better search understanding and richer content interpretation.
JSON-LD is usually preferred because it keeps structured data separate from the visible HTML. Microdata and RDFa sit inside the markup itself, which can make pages harder to maintain. Many teams choose JSON-LD for cleaner templates and easier updates.
JSON-LD is a format, while Schema.org is the vocabulary often written in that format. A specialist may use JSON-LD to express Schema.org types such as Product, Organization, Article, or FAQPage. The two are often discussed together, but they are not the same.
A strong JSON-LD specialist usually knows HTML, SEO basics, and how content is rendered in templates or JavaScript apps. They should also understand validation, canonical URLs, page structure, and how structured data changes during CMS or site migrations.
JSON-LD tasks can be simple or complex depending on the site. A small fix may need only focused expertise, while a large rollout across many templates or language versions needs someone who can design a consistent schema strategy and keep it maintainable.
Most JSON-LD work can be done remotely because it involves markup, templates, and validation. On-site help can still be useful when the team needs close coordination with content, SEO, and engineering stakeholders in Germany, especially during launches or migrations.
Look for someone who writes valid JSON-LD that matches the visible page content and the site’s actual entities. Good experts explain trade-offs clearly, catch duplicate or conflicting markup, and can show how they tested the output in validation tools and search diagnostics.
Companies usually hire for JSON-LD when structured data is incomplete, inconsistent, or tied to a redesign, CMS change, or SEO cleanup. They also bring in specialists to model products, organizations, breadcrumbs, or FAQs in a way that fits the site architecture and content rules.
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
