We ran a deep breakdown of how major travel Apps structure their hotel objects inside ChatGPT. The conclusion is not subtle. Most of them are not ready for commerce. Across platforms, the same fields consistently rise to the top: clean identity objects like name and id, structured pricing, geo coordinates, and basic rating data. These are the minimum viable signals AI systems need to rank, compare, and recommend properties. They power discovery. They support comparison. They influence decisions. But they do not complete transactions. What is consistently missing or underdeveloped are the true commerce layers: Structured cancellation logic Normalized amenities Room-level packaging depth Loyalty and member logic Direct brand booking hooks Contact controls Fully normalized booking pathways These are not decorative attributes. They are the control layer of hospitality commerce. They determine who owns the booking.They determine who captures margin.They determine who drives loyalty.They determine who retains lifecycle value. Right now, most App hotel objects are optimized for visibility inside AI interfaces, not for end-to-end agentic commerce. They are structured enough to influence the guest, but not structured enough to own the transaction. Discovery is structured.Commerce is not. Until cancellation rules, packaging logic, member rates, and transactional hooks are normalized with the same rigor as price and ratings, these Apps remain discovery surfaces sitting on top of fragmented booking infrastructure. AI discovery is accelerating. AI commerce is still immature. The brands that structure for both will win.
