AI Mapping basics
Understand how raw business information becomes stable entities, categories, attributes and relationships.
Documentation
Documentation for evaluating Weryon Mapping Engine
Documentation hub for AI Mapping, controlled feeds, API planning, JSON-LD, semantic search and operational readiness. It explains what to prepare before a technical review without exposing WME runtime internals.
API-readyFeeds + webhooksJSON-LDRuntime not exposed
Authority resources
Feeds and webhooks
Plan controlled distribution for websites, partners, CRMs or marketplaces without losing governance.
API planning
Use public examples to discuss payload shape, review states and integration boundaries.
Reader path
Best way to use this hub
Start with the topic that matches the buyer question, then move to demo or contact only after the entity facts, proof gaps and implementation route are clear.
Request a demo ->Decision route
- Read the modelUnderstand how AI Visibility connects to structured data and proof.
- Check your entityReview business facts, services, markets, public sources and gaps.
- Pick a controlled next stepDemo, pricing, documentation or contact based on realistic readiness.
Use the authority layer to prepare a better demo.
The strongest WME conversation starts with entity clarity, proof quality and a realistic implementation path.