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
9,380 live web AI responses across 25 London luxury hotels on four full-coverage platforms, with a fifth reported separately. Under live web search, visibility concentrated rather than broadened: the top five hotels captured 71.0% of all AI mentions, up from 57.2% in the earlier training-data study.
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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