Optimize headless CMS for AI discoverability
Teoraspace helps teams using Contentful's headless CMS structure content models, add schemas, and ensure AI systems can discover and cite content across all your channels.
Overview
Teoraspace helps teams using Contentful's headless CMS structure content models, add schemas, and ensure AI systems can discover and cite content across all your channels.
Integration Benefits
Works with any Contentful front-end (Next.js, Gatsby, etc.)
Content model best practices from experts
GraphQL and REST API compatible approaches
Future-proof content structure
Supports omnichannel AI discovery
Setup Steps
Audit Contentful content models and entries
Analyze current AI crawlability of rendered content
Recommend content model improvements
Design schema mapping strategy
Implement schema rendering in front-end
Configure Contentful webhooks for updates (if needed)
Test AI crawler access on preview/staging
Deploy to production and monitor
Key Features
Content Model Consultation
Expert analysis of Contentful content types and recommendations for AI-friendly structures.
Schema Mapping Strategy
Design mappings from Contentful fields to schema.org properties for rich AI comprehension.
API Response Enhancement
Optimize how your front-end renders Contentful content for AI crawlers.
Multi-Locale Guidance
Strategies for optimizing content across Contentful locales for international AI visibility.
Where This Integration Helps
Related Industries
Related Use Cases
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