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AI-First Digital Visibility In progress
Unified taxonomy and auto-tagging framework for a state brand marketing estate
Leading Phase 1 of one canonical, machine-readable classification model for the state brand marketing estate, designed so each platform can adopt it without changing tools.
SectorTourism
ClientState tourism organisation
RoleAdobe Solution Architect and Tech Lead
PeriodCurrent (Phase 1)
EmployerAnchora
Outcomes at a glance
The numbers
1canonical, machine-readable classification model
6Phase 1 deliverables, from schema to governance
0platform tool changes required to adopt it
The challenge
Where it started
- Content classified differently across platforms in the brand marketing estate
- No shared, machine-readable model that AI and analytics can rely on
- A need for platforms to align without replacing their tools
Approach
How it was delivered
- 1Phase 1
Foundation (current)
Canonical model, metadata schema, cross-platform mapping, website shared-layer specification, analytics data model and governance model.
What was delivered
Scope and deliverables
- Canonical, machine-readable classification model
- Metadata schema
- Cross-platform mapping
- Website shared-layer specification
- Analytics data model
- Governance model
Architecture view
How the pieces connect
Simplified view of the main platform and the systems it connects to.
The result
Outcomes
- One shared language for classifying content across the marketing estate
- A foundation for auto-tagging and AI-ready content
- Adoption path that lets each platform keep its existing tools
Technologies
Platforms and tools
Related work
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