This insight summarises A Hotel Can Be Excellent, Bookable, and Completely Invisible at the Same Time by Markus Busch, published on Hospitality Net in June 2026.
The industry is solving the wrong problem. Most AI conversation in hospitality is about capability — what the model can do, which features ship next. Busch argues the binding constraint is visibility: hotels can't see where demand originates and can't measure what their technology investments actually return.
The demand problem is enormous. A Cornell/Curacity study found that more than nine in ten hotels are effectively invisible in AI search. As AI reshapes discovery, properties cannot control — or even observe — where guests find them. Even the major brands now have to negotiate placement inside ChatGPT and other surfaces they don't own.
The measurement problem is just as bad. Hotels keep buying systems without property-level ROI. As Busch quotes an executive: "cost can always be measured; revenue almost never can." IHG's CEO described an eight-year platform rebuild benefiting 7,000 properties but declined to commit to a RevPAR target — citing portfolio-level math while sidestepping property-specific proof.
The fix is "instruments of sight." Before adding capability, hotels need to see:
- Where guests find them. Track citation share in AI assistants. Audit how the property is described and which sources it cites back to.
- What is structured for machines. Make rates, availability, amenities, and policies machine-readable across every surface a model crawls.
- What individual properties got from each system. Demand isolated metrics — per-property RevPAR lift, direct-share movement, attributable bookings — before signing the next platform contract.
Bottom line: Excellence and bookability mean nothing if no one knows you exist. In an AI-mediated market, visibility is the first hospitality KPI — and most hotels can't currently report it.