How TravelMate grew AI visibility across travel planning queries
TravelMate noticed AI models rarely cited them when travelers asked about destinations, trip planning, and travel recommendations. With Aivius's 6-step GEO engine, they improved citation rates and gained recommendations from multiple AI models.
Based on typical customer outcomes
AI citation trend · last 30 days
Illustrative customer analytics dashboard.
Customer overview
| Company | TravelMate |
| Industry | Travel / Consumer App |
| Scale | Travel planning platform for discovering and booking experiences |
| Challenge | When users asked AI models about travel destinations, trip planning, or travel recommendations, TravelMate was rarely cited. Competitors and generic resources appeared instead. The team had no way to measure their AI visibility or systematically improve how AI models evaluated their content |
Travelers increasingly turn to AI assistants to plan trips, compare destinations, and find booking recommendations. TravelMate's team noticed that even for queries directly relevant to their platform — "best beaches in Southeast Asia," "family trip ideas for Europe," "where to book a weekend getaway" — AI models would recommend competitors or generic resources, leaving TravelMate invisible in the answers that matter.
Without a clear picture of how AI models evaluated travel content, the team couldn't diagnose the gap or fix it. They needed a systematic way to benchmark their AI visibility, understand the prompts travelers actually ask, and optimize their content to be cited by AI models.
Solution: Aivius's 6-step GEO engine for travel content
Benchmarked AI share against competitors
Aivius measured TravelMate's AI Share of Recommendation against competing travel platforms across destination, trip-planning, and recommendation prompts. The benchmark revealed exactly where rivals were being cited instead — and which travel queries AI models were answering without naming TravelMate at all.
Researched prompts and optimized destination content
Aivius researched travel-related prompts across multiple languages and regions, surfacing the real questions travelers ask AI assistants. TravelMate then optimized destination pages for AI crawlers — adding structured, citation-friendly content that AI models could parse and reference in their answers.
Built off-page presence and monitored results
Aivius helped TravelMate build off-page presence on travel forums and Reddit — the communities AI models source recommendations from. Ongoing performance monitoring tracked citation gains across AI models, so the team could see which queries improved and where to focus next.
Implementation timeline
Results
Based on typical customer outcomes
"Travelers don't browse anymore — they ask AI assistants where to go and what to book. Aivius helped us show up in those answers. We went from invisible to recommended across the AI models our users actually trust."
TravelMate
Get similar results for your travel brand
See how Aivius's 6-step GEO engine improves AI visibility for travel platforms — across destinations, trip planning, and recommendations.