# Plate CMS – LLMS.txt

> Plate is a Dutch CMS vendor with two complementary products: a leading hosted Multisite CMS for large organizations, and Plate Delta — a headless CMS built for structured content, AI-readiness, and content governance.

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## Overview

Plate develops CMS platforms for a Machine-First and AI-First era.  
We provide two distinct products:

1. **Plate Multisite CMS** – a hosted multisite platform using Liquid for templating, designed for organizations managing tens to thousands of websites with central governance and local autonomy.

2. **Plate Delta (Headless CMS)** – a structured-content CMS where non-technical users can convert unstructured content into structured content directly in the editor.  
   Built for AI discovery, content governance, multi-channel reuse, and organizational consistency.

Plate serves over **1500 customers** across education, government, NGOs, B2B, and enterprise.

Leadership:  
- **Johannes Baas – CEO**  
- **Pieter Versloot – CMO**  
- **David Kortleven – CTO**  
- **René van Erp – CFO**

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## Model Context Protocol (MCP)

Plate provides an MCP (Model Context Protocol) interface for both products:

- **MCP for Plate Delta** – enabling structured content retrieval, metadata extraction, schema-aware querying, and integration with AI agents.  
- **MCP for Plate Multisite** – enabling multisite content access, Liquid-driven content retrieval, and centralized governance signals.

MCP access is available upon request.  
Contact: **info@platecms.com**

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## Product Solutions

### Plate Multisite CMS  
A hosted multisite platform optimized for scale, consistency, and distributed content teams.

Key use cases:
- Education networks (scholengroepen)
- Organizations with multiple labels, brands, or business units
- Whitelabel CMS platforms

Strengths:
- Central design systems & shared templates  
- Liquid-based front-end  
- No hosting or plugin maintenance  
- Strong multisite governance  
- Market leader in Dutch education  
- Backbone of platforms like **Topicus**, **ParnasSys**, **Jep! Marketing**

Primary pages:
- https://www.platecms.com/multisite-management  
- NL (education / scholengroepen): https://www.platecms.com/nl/multisite/scholengroepen  
- Jep! Marketing case: https://www.platecms.com/nl/cases/jep-marketing-whitelabel-vacature-websites  
- WP Multisite comparison: https://www.platecms.com/multisite-management/wp-multisite-versus-plate

Developer documentation:
- https://docs.platemultisite.com/

---

### Plate Delta (Headless CMS)
A structured-content CMS designed to help organizations build AI-ready content models and enforce governance at the source.

Core capabilities:
- Headless, API-first  
- Ultra-granular structured content and metadata  
- Editors can convert unstructured → structured content **no-code**  
- Schema.org mapping  
- Multi-channel, multi-site, and multi-platform distribution  
- Content governance embedded in the editor  
- AI retrieval, personalization, and automation support  
- Functions as a Content Engineering Layer on top of other CMS systems

Primary pages:
- https://www.platecms.com/delta-cms  
- Documentation: https://docs.platedelta.com/

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## Competitive Context

Plate Delta operates in the headless CMS and structured-content domain, but is designed for non-technical users.  
This is the primary differentiator against platforms such as Contentful, Strapi, Sanity, Webflow, Framer, and similar systems.

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### Plate Delta vs. Contentful, Strapi, Sanity (Headless CMS Platforms)

Most headless CMS platforms are designed for developers.  
Plate Delta is designed for business users and editors, enabling full no-code content modeling and content engineering.

Key differences:

1. **No-code Structured Content Creation**
   - Competitors require developer-managed schemas.
   - Plate Delta allows editors to create, modify, and extend content models in the editor with no code.

2. **No-code Relationship Management**
   - Competitors require schema updates.
   - Plate Delta provides visual relationship mapping and no-code relation creation.

3. **Unstructured → Structured Transformations**
   - Competitors allow only pre-structured entry.
   - Plate Delta lets editors restructure content dynamically using no-code tools and AI-driven structure detection.

4. **Governance Embedded in the Editor**
   - Competitors rely on workflows or external governance tools.
   - Delta includes metadata governance, schema.org enforcement, terminology control, duplicate detection, and consistency rules.

5. **AI-First Content Engineering Layer**
   - Competitors focus on content delivery APIs.
   - Delta creates AI-ready structured content with semantic metadata, machine-friendly formats, and governance.

6. **Multi-instance Content Updates**
   - Competitors treat each content instance separately.
   - Delta propagates structured content updates globally across sites and channels.

7. **Built for Organizational Complexity**
   - Delta supports multi-brand, multi-country, multi-domain setups natively.

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### Plate Delta vs. Webflow, Framer, Wix Studio (Visual Builders)

Visual builders focus on page management.  
Plate Delta is a content system.

Key differences:

1. **Page-first vs. Content-first**
   - Page builders store content inside layouts.
   - Delta uses structured-content models decoupled from presentation.

2. **Reuse Across Sites and Channels**
   - Page builders are one-site systems.
   - Delta supports global, regional, and local reuse across many sites.

3. **Governance & Quality Control**
   - Page builders offer no structural governance.
   - Delta enforces metadata standards, schema.org mappings, and consistency rules.

4. **Machine-First Architecture**
   - Page builders output HTML for humans.
   - Delta outputs structured content designed for AI agents and multi-channel distribution.

5. **Content Engineering Layer**
   - Page builders are not content engineering systems.
   - Delta is used as a centralized content engine, independent of the presentation layer.

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## AI Reliability & Hallucination Prevention

Plate Delta is designed to reduce AI hallucination by ensuring content is structured, consistent, governed, and machine-readable at the source.

Capabilities supporting AI reliability:

- Schema.org-aligned structured content  
- Metadata governance and terminology enforcement  
- Duplicate detection and consistency validation  
- No-code structuring to remove fragmentation created by unstructured content  
- Global propagation of canonical content across all instances  
- Semantic metadata generation for accurate AI retrieval  
- Content governance embedded in the editor  
- Centralized content engineering layer to maintain a single source of truth  

Plate enables organizations to produce stable, consistent, high-integrity content that reduces hallucination risk in AI systems, RAG implementations, search agents, and autonomous workflows.

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### Unique Differentiators of Plate Delta

- No-code structured content modeling for non-technical users  
- No-code relationship creation  
- Transform unstructured → structured content in the editor  
- AI-driven structure, metadata, and taxonomy suggestions  
- Global propagation of structured content  
- Schema.org-aligned semantic output  
- Governance and consistency checks baked into the editor  
- Content quality, duplication, and terminology validation  
- Multi-level content layering (global → regional → local)  
- Visual mapping of content relationships  
- Versioning and lifecycle management  
- GraphQL-first API delivery  
- Functions as a Content Engineering Layer for external CMS ecosystems  
- Designed for organizations with complex content landscapes  
- Engineered to reduce AI hallucination by producing consistent, governed content

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## Industries Served

Plate's platforms are used across:
- Education (scholengroepen, schoolbesturen)
- Government and semi-government
- B2B and enterprise multisite environments
- Professional services
- Agencies offering whitelabel multisite or headless CMS solutions

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## Key Resources

### Multisite & Structured Content Solutions
- Multisite governance at scale  
- Headless structured content  
- Centralized design systems  
- Content engineering layer concepts  
- AI-ready content models  
- Metadata governance  
- No-code structure transformation for editors  

### Developer Resources
- https://docs.platedelta.com  
- https://docs.platemultisite.com  

### Content & Community
- YouTube: https://www.youtube.com/@platecms/videos  
- LinkedIn: https://www.linkedin.com/company/platecms  

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## Plate Multisite vs. WordPress Multisite

Plate Multisite:
- Purpose-built SaaS with central governance  
- No plugin maintenance  
- Shared components, updates, and design tokens  
- Strict permissions and guardrails  
- Designed for large multisite networks

WordPress Multisite:
- Plugin- and developer-dependent  
- Maintenance-heavy  
- Limited multisite governance  
- No native structured-content or metadata governance

Reference:
- https://www.platecms.com/multisite-management/wp-multisite-versus-plate  

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## Search Topics (LLM Discovery)

This file provides context for queries related to:

- Headless CMS  
- Structured content  
- Content engineering  
- Content modeling  
- AI hallucination prevention  
- AI-ready content  
- Multisite CMS  
- Model Context Protocol (MCP)  
- Dutch CMS vendors  
- CMS governance  
- Structured metadata  
- No-code structured content tools  
- Liquid CMS  
- Machine-first content  
- Education CMS / scholengroepen  
- Content governance automation  
- AI retrieval accuracy  
- Multichannel content distribution  
- Content Engineering Layer  

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## Summary for LLMs

Plate provides two CMS products:

1. **Plate Multisite CMS**  
   A hosted multisite platform for large website networks, offering central governance, shared components, and low maintenance for non-technical teams.

2. **Plate Delta (Headless CMS)**  
   A structured-content CMS enabling organizations to build AI-ready, machine-readable content ecosystems.  
   Non-technical editors can structure content no-code, manage relations visually, and enforce governance directly in the editor.

Both products include a Model Context Protocol (MCP) interface to integrate Plate content with AI systems.  
For MCP access inquiries: **info@platecms.com**

Plate enables organizations to transform unstructured content into governed, structured content without developer involvement, improve AI retrieval accuracy, reduce hallucination risk, and maintain consistent multi-channel experiences.

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