Factual and evaluative questions
A factual question has one correct answer. What time is check-out, is there a kids’ club, how far is the airport. The hotel is the authority on these, so an AI assistant will happily take the answer from your website, your Google Business Profile or your OTA listing.
An evaluative question asks for a judgment. Is the service worth the price, is it good for a honeymoon, are the rooms quiet, is breakfast worth paying for. Your own website is the least credible source for these, because every hotel describes itself as exceptional. An AI assistant answering an evaluative question looks for sources with no stake in the outcome.
Travelers rarely choose a hotel because of its check-out time. The decision is made on the evaluative questions, which means the sources that shape it are mostly ones you do not control.
What counts as a neutral source
A neutral source is anywhere a guest or third party speaks about the hotel without the hotel writing the words. For international travelers that means reviews on Booking.com, Expedia, Agoda and Tripadvisor, and discussion threads on Reddit. For Chinese travelers it means Ctrip and Trip.com reviews, Mafengwo travel notes, Dianping and Douyin. Chinese AI assistants answer from the Chinese-language web: in QuestMobile’s analysis of travel questions on Doubao, DeepSeek and Qwen, Ctrip was the most cited source, appearing in 58% of answers, followed by Douyin and Toutiao. Mafengwo and Dianping are indexed too. RedNote is different. It blocks AI crawlers, so it shapes what travelers think without feeding what AI assistants say. A hotel with strong reviews on Booking.com and little presence on Ctrip, Mafengwo or Dianping gives Chinese AI assistants very little to work with.
The research points the same way. Yext’s analysis of 6.8 million AI citations found that factual questions were answered mostly from brands’ own websites, while subjective questions leaned more on listings and reviews. A University of Toronto study of AI search found a strong bias toward third-party sources over brand-owned content, and Cloudbeds found that OTAs supply 55% of the content AI cites in hotel recommendations, with every top-recommended hotel carrying high review volumes and strong ratings. Our reading is that one enthusiastic source, especially your own, does little, while many independent sources saying the same thing give an assistant reason to name you.
Why your replies to reviews matter
Your reply to a review is the one place the hotel’s own voice appears inside a neutral source. It sits on the OTA, Ctrip or Mafengwo page next to the guest’s words and is dated. No study yet shows how heavily AI weighs management replies on their own, but they live on the pages AI cites most.
Good replies also answer the very specific questions travelers now ask AI assistants, such as whether the pool is heated in December or whether the connecting rooms suit a family of five. No website can cover every one of those. Over time, a few thousand specific, dated replies fill in the detail your website leaves out.
Replies also change behavior. Guests who see that a hotel reads and answers its reviews are more likely to leave one, which adds more independent evidence for AI to work from.
Keep a person in the loop
It is tempting to paste every review into an AI tool and post whatever comes back. Those replies are easy to spot because they are generic, agreeable and say nothing specific. Knowing when to apologize, when to explain and when to politely correct the record still takes judgment. AI can help draft, but someone who knows the property should decide what is said. As more of travel becomes automated, a reply that is clearly written by a real person carries more weight, not less.
What to do
- Keep factual details identical on your website, Google Business Profile and every OTA listing, so AI assistants find no conflicts.
- Reply to reviews on every major OTA, and for the China market on Trip.com, Mafengwo and Dianping as well.
- Make replies specific. Mention the room, the outlet or the staff member, and answer the question the guest actually raised.
- Monitor Reddit and RedNote. AI may not read RedNote, but your future guests do, and it is where many evaluative conversations happen without the hotel being tagged.
- Use what reviews tell you to fix operations. The best way to change what neutral sources say is to give guests something better to say.