How can a multi-location brand implement Local AI Discovery without duplicating content or breaking data consistency?

Adopt a hub-and-spoke model: maintain a centralized Digital Twin with core, brand-consistent knowledge, and attach location-specific signals, attributes, and media to Local AI Discovery modules. Each location uses a location_id and a well-scoped set of local content that links back to the central Business Brain. Governance should review local updates for alignment with the central knowledge and maintain an audit trail of what content was referenced by AI outputs. Keep private procedures in a separate layer and ensure localization signals do not drift from the established facts, so AI can reliably surface local relevance without fragmenting the brand’s knowledge graph.