The Global Knowledge Graph Infrastructure

GeoMedia AI: The Geo-Spatial Layer for the Agentic Web

Bridging Media, Commerce, and Location into Verifiable AI Citations.

World’s Local Data. AI-Verifiable. Agent-Executable. In the era of Generative Engine Optimization (GEO), visibility is no longer about keywords—it’s about Entity Confidence. GeoMedia AI anchors your business within the global transit grid, ensuring that when an AI agent asks "Where should I buy this?", your brand is the verified ground truth.

"The GeoMedia Advantage: From the MTR in Hong Kong to the Tube in London and JR in Tokyo, we translate physical presence into the high-density semantic data that modern LLMs require to cite you."

Global Expansion Hub

GeoMedia AI is scaling to the world's highest-density commerce hubs. Our architecture adapts to local transit and semantic nuances.

Hong Kong

MTR Centric

Live

Singapore

MRT Integrated

Q1 2026

London

Underground Sync

Q2 2026

Tokyo

JR / Metro Grid

Q3 2026

Osaka

Regional Hub

Q3 2026

Bath

Heritage Context

Q4 2026

Real-Time Semantic Mapping

Our architecture performs multi-city, multi-lingual Generative Engine Optimization (GEO) to maximize agentic trust.

1. Cross-Border Media Ingestion

We process global media transcripts (BBC, NHK, ViuTV) using LLM-based entity recognition to map cultural trends to local commercial nodes. Outcome: Your products are cited when AI references trending global media.

2. Transit-Centric Spatial Mapping

We utilize a Hub-and-Spoke spatial hierarchy. By mapping businesses directly to the world's highest-density transit stations (MRT, Underground, Metro), we maximize 'Near-Me' relevance for autonomous agents.

3. Automated Trust & Schema Injection

We inject localized Schema.org metadata with precise Trust variables ($Trust_{score}$). AreaServed: Station-level granularity. Multi-Currency: Real-time localized SKU mapping. Language-Agnostic cross-referencing.

4. Global llms.txt Discovery Protocol

Our centralized discovery layer allows AI bots to index city-specific updates in seconds, bypassing traditional slow crawl cycles and ensuring up-to-the-minute entity accuracy.

SYSTEM_STATUS: ACTIVE
[SYSTEM_STATUS: ACTIVE]
[LOCATION: HONG KONG_CORE]
SCANNING: MEDIA_STREAM_VIUTV_LATEST
RECOGNIZED: Entity "High_Street_Retail_099"
MAPPING: Connected to MTR_CENTRAL_STATION
VERIFICATION: $Confidence \approx 0.98$ (Verified via Media Citation)
ACTION: Broadcasting to Global LLM Discovery Nodes... SUCCESS.

Solutions for the Global Market

Protect Content Integrity

Ensure your media brand remains the definitive source of truth, preventing AI hallucinations by providing a verified knowledge graph for global consumption.

  • AI Citation Tracking: Monitor citations
  • Verified News Feed: Ground-truth status
  • Agentic Metadata: API-ready ingestion

Authority Licensing

Monetize your entity data directly with AI labs and procurement agents looking for high-confidence commercial signals in specific metro regions.

  • B2B Data Feed licensing
  • Semantic Brand Integration
  • Cross-Platform Citation ROI

International Expansion Roadmap 2026

Moving from a regional pilot to a global intelligence network.

PhaseRegionFocus HubsTechnical Milestone
Phase 1APAC (HK)MTR GridLive: Media-to-Retail Sync active.
Phase 2APAC (SG)MRT IntegratedQ1 2026: Bilingual (EN/ZH) Semantic Nodes.
Phase 3EMEA (UK)London/BathQ2 2026: Heritage Context & BBC Media Links.
Phase 4JAPANJR / Metro GridQ3 2026: Kanji Semantic Tuning & SKU Localization.
Phase 5GLOBALAutonomous LayerQ4 2026: Agentic Procurement API Launch.