[Aug 25] Which Luxury 5* Hotels do AIs Recommend in Paris?

Analysis of ChatGPT, Google Gemini, Perplexity, and Meta Llama 3.3 hotel recommendations โ€” with surprising winners and notable absences.

โ€ขโ€ข4 min read

AI and SEO expert at the forefront of AI Search. He analyses models daily and runs hospitality-focused experiments on a database of over 1M prompts, citations and mentions.

Introduction

AI search engines are reshaping how travelers discover hotels. But which luxury hotels in Paris do they actually recommend the most? Our analysis of ChatGPT 4o, Google Gemini, Perplexity, and Meta Llama 3.3 reveals clear winners, surprising underperformers, and some iconic names that are completely missing.

Methodology

We submitted multiple queries such as "best luxury hotel in Paris", varying the context for business trips, romantic getaways, and family vacations.

For each hotel mentioned, we measured:
- Appearance % (share of queries where the domain was mentioned)
- Comparison between models
- Highlighting visibility gaps

Chart showing AI luxury hotel recommendations in Paris with appearance percentage

Key Findings

  • Four Seasons Hotel George V appears in nearly 100% of results and consistently ranks #1 โ€” an AI favourite.
  • Ritz Paris follows closely with very high appearance and ranking scores.
  • Shangri-La Hotel Paris is a surprise underperformer, appearing in only ~35% of results despite its iconic reputation.
  • Le Bristol Paris and Mandarin Oriental Paris have high appearance rates but lower average rankings.',
  • Notable absentees include Cheval Blanc Paris, Hรดtel Lutetia, and Maison Albar Hotels - Le Pont-Neuf.

Conclusion

AI models currently favour a small circle of ultra-iconic luxury hotels in Paris, leaving others โ€” even prestigious ones โ€” largely unseen. For hoteliers, optimising visibility in AI-driven search is no longer optional; itโ€™s a competitive advantage.

Nicolas Sitter

Nicolas Sitter

AI and SEO expert at the forefront of AI Search. He analyses models daily and runs hospitality-focused experiments on a database of over 1M prompts, citations and mentions.

Co-founder of Hotelrank