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Voyageur: Marketplace case study

A travel marketplace captured 47% Perplexity citation share on long-tail itinerary queries by restructuring 1,200 destination pages.

Run the same playbook
47%
Perplexity citation share on tracked itinerary prompts
+186%
AI-referred sessions YoY
4.1
Average pages per AI-referred session
+22%
Bookings from AI-referred traffic

Illustrative scenario: "Voyageur" is a fictional brand and the figures and quotes model a typical program run on Livesov - not audited results from a named customer.

The challenge

Voyageur's organic traffic plateaued in 2024 as Perplexity and ChatGPT Search became the new starting point for trip planning. The company was not cited in either.

The playbook

What actually moved the numbers

The same five-step approach we use with every Livesov client - adapted to this team's stack and category.

  1. Used Livesov to identify the 200 highest-volume Perplexity prompts in travel - "best 7-day Italy itinerary", "Tokyo with kids", etc.

  2. Found that Perplexity cited blog posts and Reddit threads but not their destination pages

  3. Restructured 1,200 destination pages around the extractable Q&A pattern (TripAdvisor + Perplexity-style)

  4. Ensured PerplexityBot, OAI-SearchBot, and Google-Extended were explicitly allowed

  5. Added FAQ schema and itinerary microdata across the catalogue

The takeaway

Voyageur's win was not a single tactic - it was the diagnostic plus the measurement loop. Most teams that try to compete inside ChatGPT and Perplexity skip the diagnostic and ship content. The diagnostic determines which lever actually moves the needle.

If you want to baseline your own brand the same way Voyageur did - in under an hour, free - start with the free GEO audit or skip straight to a free Livesov account. The full diagnostic plus continuous tracking across all five LLMs is included.

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