The guest journey does not begin at the booking. It begins considerably earlier — in a phase of research, exploration, and decision-making that happens entirely outside any system a hotel can observe. By the time a guest makes a reservation,…
RevPAR is one of the most useful metrics the hotel industry ever created. It is well understood, widely reported, and deeply embedded in how owners, asset managers, and lenders evaluate hotel performance. It is also telling only half the story…
The first impression your hotel makes no longer happens in the lobby. It happens in a conversation between a traveler and an AI platform — before they visit your website, before they check an OTA, and long before they walk…
Strong occupancy numbers can mask a significant and growing commercial problem. A hotel running at 85 percent occupancy is not necessarily capturing 85 percent of its available revenue — and in an era of AI-driven travel discovery, the gap between…
Hotel positioning for AI search requires abandoning a decades-old habit: leading with unique selling points. USPs were built to differentiate a property from competitors in a human’s mind, but AI does not recommend based on uniqueness — it recommends based…
Most hotel digital agencies are still doing SEO, not AI visibility — and the difference now matters for revenue. Traditional SEO optimizes how a property ranks in Google’s blue links; AI visibility, sometimes called generative engine optimization (GEO), optimizes how…
AI is not a future trend — it’s already reshaping how guests discover and choose hotels. Over the next three years, AI-driven recommendations will play a larger role in booking decisions, local discovery, and experience selection. Hotels that fail to…
Hotel owners are starting to ask about AI revenue, and many leadership teams are not ready to answer. The question — “how is AI affecting our discovery and our revenue across the property?” — is appearing in ownership and asset-management…
When AI tools recommend hotels, they don’t simply rank them — they compare them. They evaluate attributes, experiences, and context to determine the best match for a query. If your hotel isn’t clearly defined across these dimensions, it creates a…
Hotel F&B and marketing alignment is an AI visibility issue, not just an org-chart preference. When F&B optimizes covers, marketing pushes rooms, and revenue manages rate — all independently — the property sends AI conflicting signals and a fragmented digital…