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AEO 2 min read

How do reviews influence AI recommendations for hotels?

Short answer

Reviews are part of the information AI tools can draw on when describing or recommending hotels, because they're widely published on maps, booking platforms, and review sites. Recurring themes — "quiet", "great breakfast", "noisy street", "tiny rooms" — can shape how a hotel is summarized. How each AI product weighs reviews isn't publicly documented. What's clear is that Google uses reviews as a local ranking factor, and that review platforms prohibit fake or incentivized reviews. The practical approach: deliver a good stay, ask every guest for honest reviews, reply thoughtfully, and fix recurring problems.

By Lodging Engine Editorial Team· Reviewed by Eric Zwanenburg· Last reviewed

What's documented

  • Google says prominence in local results is based partly on reviews, and that more reviews and positive ratings can help.
  • Business Profiles can show reviews from other trusted sources, such as travel review sites.
  • Google Maps policies prohibit incentives for reviews, selectively asking happy guests, and fake engagement.

How generative AI tools use reviews for specific answers isn't published, so avoid anyone claiming a formula.

Why themes matter

When a tool summarizes a hotel, it may describe recurring experiences. If many guests mention a noisy street, that may appear in summaries. Responding and fixing the cause — and saying so in replies — is more useful than trying to bury it.

Managing reviews well

  1. Ask every guest, not only happy ones, with a simple link or QR code.
  2. Reply to positive and negative reviews, specifically and calmly. See how to respond to Google reviews.
  3. Fix recurring issues, then mention the fix factually in replies.
  4. Keep facts current on your website so outdated complaints don't outweigh the present.
  5. Never incentivize reviews.

Reviews and accuracy

Old reviews can describe things that have changed — a closed restaurant, a renovated wing. State current facts clearly on your website and listings. See why AI gives wrong information.

Common mistakes

  • Offering discounts or upgrades for reviews.
  • Arguing publicly with reviewers.
  • Ignoring recurring complaints.
  • Focusing only on Google while major OTA reviews go unanswered.

Checklist

  • Review request in the post-stay journey for every guest
  • Replies on Google and main OTAs
  • Recurring themes tracked and acted on
  • Current facts stated on the website
  • No incentives of any kind

Sources

  1. Tips to improve your local ranking on Google — Google Business Profile Help
  2. Manage customer reviews — Google Business Profile Help
  3. Prohibited and restricted content (Maps user-generated content policy) — Google Maps Help
  4. AI features and your website — Google Search Central