Hotels

Rate shopping only tells you what competitors are charging, not why they are charging it or what demand conditions are shaping those decisions

If the underlying data is fragmented, outdated, inconsistent, duplicated or biased, AI systems will inevitably reproduce and amplify those weaknesses

These seven mistakes share a single root cause, which is fragmented guest data combined with disconnected communication

A press release for your hotel isn’t a magic button for AI awareness. The real goal is maximizing public, crawlable coverage

An OTA can know more about the guest. Hotels can know the guest better. The hotels that succeed will be the ones that combine both

Today we see an attempt to revive off-site booking through Agentic AI. Even so, it must overcome the same trust barrier that sank book on metasearch

Too often, hotels fall into a cycle where pricing decisions are driven almost entirely by what competitors are doing at any given moment

We often see this pattern emerge. Hotels wait until late September, or even October, to think seriously about autumn and winter booking performance

The ChatGPT decision to step back from in-platform transactions is creating new opportunities for hotels seeking to leverage AI for direct bookings

AI does not have to become another OTA to create the same structural dependency. It only has to become the place where traveler preference forms