GEO case study

TitanFlow Logistics

How a logistics company increased AI visibility by 214%. TitanFlow Logistics started appearing in ChatGPT-style recommendations after entity, schema, and service-page restructuring.

Industry3PL / Logistics / Supply Chain
LocationUSA
Scale45+ employees
+214% AI Visibility Growth
+41% Organic Lead Growth
+37% Branded Search Increase
-18% Bounce Rate Improvement

The Problem

  • Weak entity structure
  • Inconsistent schema implementation
  • Fragmented service pages
  • Poor AI readability
  • Weak contextual linking between logistics services

What Nexus GEO Did

  • Advanced Schema.org implementation
  • Service entity mapping
  • AI-readable content restructuring
  • Internal semantic linking
  • FAQ optimization for AI retrieval
  • AI citation readiness improvements

Methodology Transparency

Nexus GEO treats GEO as a repeatable evidence system: entity clarity, structured data, AI-readable content, internal semantic links, FAQ retrieval support, and post-implementation visibility review.

These results are based on project materials and client-reported measurement. They are not endorsements from Google, Microsoft, OpenAI, Perplexity, Anthropic, or any other referenced platform.

1
Baseline scanIdentify where AI systems struggle to understand the company, services, locations, and proof.
2
Entity mappingClarify the company, service, audience, location, and offer relationships across priority pages.
3
Schema and content layerImplement structured data, concise answers, contextual service links, and retrieval-friendly FAQ blocks.
4
Review and iterationCompare AI visibility movement, traffic behavior, lead quality, and branded search movement after rollout.

Reference Ecosystem

Nexus GEO builds around public search and AI documentation from major platforms. These links are methodology references, not partnership, client, sponsorship, or endorsement claims.

Google Search Central Structured data guidance Schema.org Shared vocabulary for structured entities Microsoft Bing Webmaster Guidelines OpenAI ChatGPT search environment Google Gemini AI assistant surface Microsoft Copilot AI assistant surface Perplexity Answer engine surface Anthropic Claude AI assistant surface

Evidence boundary: Nexus GEO separates client outcomes from third-party platform references. Public platform documentation helps define the optimization environment; case-study results come from project measurement and supplied case materials.