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Architecture brief

WME Mapping Architecture.

This brief explains the public-facing architecture logic: AI Mapping, semantic search, structured proof, JSON-LD style outputs, feeds and review control working as one operating layer.

Open AI Mapping docs ->All white papers ->
Mapping Semantic search JSON-LD Feeds
Weryon Mapping Engine semantic SEO visual with entities, structured data, knowledge graph and AI understanding.
Semantic SEO, entities, structured data and knowledge graph context for AI Search.

What this page clarifies

MAP

Mapping layer

Normalizes entity facts and relationships.

IDX

Semantic index

Helps teams search and interpret structured business context.

OUT

Output layer

Prepares reviewed data for public, partner or internal reuse.

How to use it

Use this page as a commercial and editorial reference. It is written for buyers and decision teams, not as internal implementation documentation.

The goal is clarity: what should be mapped, what should be reviewed, and what should be distributed only after the proof layer is ready.

Review route

  1. Inputs Business facts, services, locations, proof and source references.
  2. Review Human validation before commercial interpretation.
  3. Outputs Documentation, structured data, feeds, proof packs and decision support.

Turn the concept into a controlled WME review.

ExpertList can help evaluate what is already clear, what is missing and what should be structured next.

Open feeds docs ->