<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Review Volume on palmtree.ai Blog - AI Visibility for Travel Businesses</title><link>https://blog.palmtree.ai/tags/review-volume/</link><description>Recent content in Review Volume on palmtree.ai Blog - AI Visibility for Travel Businesses</description><generator>Hugo -- 0.157.0</generator><language>en</language><lastBuildDate>Fri, 25 Sep 2026 14:40:00 +0200</lastBuildDate><atom:link href="https://blog.palmtree.ai/tags/review-volume/index.xml" rel="self" type="application/rss+xml"/><item><title>What Actually Moves AI to Recommend Your Hotel: The First Causal Evidence on Ratings, Reviews, and Replies</title><link>https://blog.palmtree.ai/posts/what-moves-ai-hotel-recommendations/</link><pubDate>Fri, 25 Sep 2026 14:40:00 +0200</pubDate><guid>https://blog.palmtree.ai/posts/what-moves-ai-hotel-recommendations/</guid><description>The first pre-registered causal audit of LLM hotel recommendations — 12 models, 60,000+ calls, June 2026 — finally prices the reputation signals AI travel planners respond to. A top guest rating raises recommendation probability by 31.6 percentage points and a high price lowers it by 30; eco-certification is over-weighted at +11.6, review volume adds +8.3, and management replies — the tactic every GEO vendor sells — move the needle exactly zero. Here is what the evidence says, what a July 2026 Which? investigation into Tripadvisor&amp;#39;s AI summaries adds, and the review strategy hotels and tour operators should run instead of folklore.</description></item></channel></rss>