Few cities in the country pull in more out-of-town buyers than Anaheim. The Resort District anchors a year-round flood of families, the Platinum Triangle fills on game and event nights, conventions turn over thousands of badge-holders a week, and the hotels, restaurants, and entertainment operators around them all live or die on being chosen. The shift is that the choosing now starts in a chat window. A parent asks ChatGPT where to eat with kids near the resort that isn't a chain, a convention attendee asks Perplexity which hotel near the Platinum Triangle has a real workspace, a group organizer asks an assistant what to do off-park for an afternoon. Whatever the model names is what gets booked.
The operators who should win these answers usually can't, because their sites were built for a different era of discovery. They rank for a few obvious keywords, look fine on a phone, and offer a language model nothing it can lift and repeat with confidence: no clean entity, no structured detail on what actually sets the place apart, no plain text a model can quote about hours, location, or fit. So the assistant falls back on the loudest brand or a travel aggregator the operator can't edit. In a market where a huge share of the buyers are strangers leaning entirely on the machine, that gap is the difference between a full room and an empty one.
This isn't a booking widget bolted onto a tired template. The retrieval layer a model reads (schema, primary sources, structured detail) has to be poured into the build, which is why we start from a clean foundation rather than patch the site you already have.