Identify the entity
Separate brand, company, product, location, service and public proof so the profile is easy to understand.
WME documentation
AI Mapping: turn business data into clear entities.
AI Mapping is the layer that organizes company facts, services, locations, proof and relationships before those signals are distributed to websites, feeds, JSON-LD or sales workflows.
Entity clarity Semantic relationships Review control No runtime exposure
What this page clarifies
Map relationships
Connect what the business offers, who it serves, where it operates and which sources support the story.
Review before distribution
Validate gaps, conflicts and claims before publishing structured outputs or public proof packs.
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
- Collect source facts Start with visible, verifiable business information.
- Normalize language Turn inconsistent descriptions into stable entity language.
- Prepare outputs Use the reviewed map for SEO, AEO, GEO, internal decisions and WME outputs.
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.