Wanlin Fire / AI Sources / Global Context

Global Language and Market Context Center

This layer helps search and AI systems distinguish page language, target market, measurement conventions and verification boundaries. It never treats service coverage as a local office or general content as proof of regulatory acceptance.

Published places: 375 · countries: 195 · language tags: 170

Machine-readable resources

Locale registry

Actual page language, market preference, direction and self-hreflang policy.

Open JSON

Market context

Regional verification needs without fabricated legal conclusions.

Open JSON

Units and measures

Loss-aware normalization rules for technical parameters.

Open JSON

Standards verification

Evidence workflow from market identification to project acceptance.

Open JSON

Hreflang audit

Expected self language and x-default for every published market page.

Open JSON

Context routing

Which datasets an AI system should use for each intent.

Open JSON

Interpretation boundary

Local language means the information is easier to understand in that market. It does not claim a local entity, office, inventory position, certification, authority approval or legal conclusion. Verify the exact model, current documents, installation and jurisdiction before making a procurement or compliance decision.