Signal Economics

94% of Hotels Don't Show Up in AI Search — and Website Fixes Might Not Be the Answer

Cvent data shows 75% of event planners already use AI tools to source venues while 94% of hotels are invisible in results; a separate 148-hotel study finds website optimization barely moves AI recommendations at all.

Graham Pope, VP International at Cvent Europe, reports that 94% of hotels fail to appear in AI search results even as 75% of event planners already use tools like ChatGPT, Claude, and Gemini during venue sourcing — with venue discovery the top use case, and planners increasingly searching by criteria like location, capacity, accessibility, and budget rather than by brand recall. More than two-thirds of Google searches now end without a click because of AI-generated summaries, Pope notes, which makes AI visibility a more relevant metric than traditional click-through rate. Drawing on 6,000 venue listings across Cvent’s network, the piece finds properties with Diamond-tier listings are 50% more likely to receive AI citations than Basic-tier ones, and recommends hotels replace generic phrases like “flexible meeting spaces” with structured, detail-rich content — room dimensions, capacity figures, accessibility features — that both AI systems and human planners can act on directly.

A separate, larger study complicates that advice. Andrew Paul, Managing Director of Americas Great Resorts, examined 148 luxury hotels and found website technical factors have almost no relationship to how often AI systems recommend a property: structured-data completeness correlated at just 0.02, and website variables plus market together explained only 2.8% of the variation in AI recommendations. A model built on Forbes Travel Guide ratings and Michelin Keys explained 54.7% instead — Forbes Five-Star hotels averaged 13.4 AI recommendation slots versus 2.6 for unrated properties. Even having a machine-readable llms.txt file made no meaningful difference.

Read together, the two studies point at different layers of the same funnel: Cvent’s data is about event and group bookings, where structured content genuinely helps AI match specific stated criteria; Paul’s luxury-leisure data suggests AI models lean on third-party credentials to decide who’s worth recommending at all before a website’s content ever gets read. Hotels investing in one without the other are optimizing half the problem.

Source: Hospitality Net — Hotels are vanishing in AI searches Auto-generated brief — verified before publishing.

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