An international logistics company needed stronger visibility across generative engines. Envigo used GEO services and generative engine optimisation techniques to refine entities, strengthen citations, and expand prompt surfaces across logistics and customs-related queries.
Challenge
The brand’s logistics terminology was inconsistent across countries, making it difficult for AI models to understand or recommend their services. They had no presence in generative engine answers for shipping or customs topics.
Strategy
We applied GEO services to rebuild their entity framework, clarify service descriptions, add structured logistics content, and grow citation signals across trusted trade and transport sources. We expanded prompt surfaces across freight, customs, and international documentation queries.
Results
| Metric | Before | After |
|---|---|---|
| Generative engine inclusion | Low | Strong across logistics prompts |
| Prompt surface coverage | Narrow | Broad and multi-country |
| Entity clarity | Weak | Consistent and accurate |
| AI-driven referrals | Minimal | Significant and trackable |
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