How We Build

The AI Website Systems Architecture

Infrastructure designed to support faster execution without losing control of content, authority, or machine readability.

Why the Architecture Matters

Controlled AI speed to market only works when the infrastructure is stable enough to support it. The architecture exists to keep execution fast, portable, structured, and machine-readable.

The Five Layers

01

Static PHP + JSON Foundation

Fast, secure, portable, and deployable without CMS overhead. Content lives in JSON files, not a plugin stack or fragile database workflow.

02

Structured Content Engine

Content, offers, FAQs, and metadata follow consistent JSON structures so execution stays reusable and easier to govern.

03

Schema-First Entity Framework

Every important entity, offer, and relationship is declared in structured data so discovery systems can trust what they find.

04

AI Endpoint Layer

Predictable files at /llm.txt, /llm.json, /ai/manifest.json, /ai/catalog.json, and related endpoints make the system readable by AI.

05

Federation Integration

The federation layer declares role, relationships, and trust paths so authority compounds across connected assets.

What the Framework Includes

  • Static PHP front controller with clean URL routing
  • JSON content layer for page copy and metadata
  • JSON-LD schema with consistent entity references
  • /llm.txt and /llm.json for AI systems
  • /ai/manifest.json and /ai/catalog.json for machine-readable discovery
  • /ai/federation.json for relationship declaration
  • XML sitemap for search engine discovery
  • robots.txt with crawler guidance

Ready to Use This Framework?

Start with Discovery Partner to see what parts of your current system should stay, change, or be replaced.