Which business travel providers are being cited and recommended across ChatGPT, Perplexity, Gemini, Google AI Overview and AI Mode — and which are invisible to the buyers who matter? Monthly data across UK, USA, UAE, India, and Global markets.
Monthly data showing which corporate travel agency (tmc) brands AI recommends across ChatGPT, Perplexity, Gemini, Google AI Overview and AI Mode. Segment averages, gap analysis, and what moves the score.
In business travel AI queries, citation patterns are highly concentrated. The top 3 cited brands in each market account for approximately 67% of all citations across the prompt battery. Moving from rank 4 to rank 2 is disproportionately valuable — the relationship between rank and citation share is not linear.
Navan gained 12 Cited Score points in the UK market this month, driven primarily by increased citation rate in Perplexity. The improvement correlates with recent structured content additions on business travel use cases and expense integration capabilities. This is the exact mechanism the Cited methodology measures and that brands can act on directly.
Across the buyer-intent query battery, feature-specific queries produce the highest citation rates for brands with relevant structured content. Travel management companies explicitly cited for expense platform integrations and 24/7 support coverage achieve citation rates 31% higher on those query types than brands with only general corporate travel content.
Two brands in the top 10 this month have no Knowledge Graph presence, no schema markup on key service pages, and no third-party directory citations beyond the largest platforms. They are cited primarily because of brand scale and legacy recognition. This makes their position structurally fragile: a smaller, well-structured challenger brand can displace them relatively quickly by closing the entity signal gap.