Case studies: AI visibility research across UK luxury markets
LuxDirect case studies are built from structured query testing across six AI platforms. Every market audit uses a consistent prompt library covering discovery, comparison, and booking intent, with every response parsed for mention rate, citation source, and OTA routing behaviour. Findings below are drawn from live AI responses, not synthetic data.
Edinburgh's AI visibility gap
2,081 AI responses across 19 Edinburgh luxury hotels on five AI platforms. Five hotels captured 65% of all recommendations. A 9-room independent outranked a 240-room chain by a factor of seven in overall AI Share of Voice. 74% of hotels in the panel received zero direct website citations in AI responses.
London's live web AI visibility gap
9,088 API calls produced 8,893 valid responses across 25 London luxury boutique hotels and four reported platforms. The top five captured 66.5% of mentions across all 25; on the 20 shared hotels, concentration was 69.9% live web versus 57.2% training mode.
Manchester's AI visibility gap
7,190 valid AI responses across 15 Manchester independent luxury hotels on five conversational AI platforms. Two properties captured 25.9% of all AI mentions. Eight of 15 properties had zero unprompted competitive visibility. On booking intent queries, the average property went unnamed in 67.5% of responses.
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