AI / Data architecture
Structured Data for AI-Ready Websites
Represent business information consistently so websites, APIs, search and AI systems can reuse the same source.
Keep control in the application.
Store facts once in a clean system and present them through many interfaces.
Build around interfaces, not hype.
Provider-specific code should be isolated enough that better models can be adopted without rebuilding the website or business logic.
Capabilities
What the integration layer can support.
Content schemas
JSON models
Stable identifiers
Schema.org markup
API serialization
Validation rules
Examples
Useful AI starts with a specific job.
Power pages and tools from one service record.
Represent locations consistently.
Separate business facts from decorative layout.
FAQ
Questions about Structured Data for AI-Ready Websites.
The implementation details change by business, but the architecture should keep authority, permissions and source data outside the model.
What is Structured Data for AI-Ready Websites?
Represent business information consistently so websites, APIs, search and AI systems can reuse the same source.
How should Structured Data for AI-Ready Websites be implemented?
Store facts once in a clean system and present them through many interfaces.
What can Structured Data for AI-Ready Websites support?
Depending on the business need, the integration can support Content schemas, JSON models, Stable identifiers, Schema.org markup, API serialization, Validation rules.
Related
Build the surrounding system too.
AI works better when the site underneath it is fast, structured and API-ready.
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Add AI without giving models unnecessary access to credentials, private data or irreversible business actions.
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