Key Results
4.7 Stars
Rating Recovery
+118%
Booking Recovery
+34%
RevPAR Growth
AI Sentiment Score Progression
Before
After
What Was Holding Them Back
Viral negative reviews caused a 45% booking decline and poisoned AI-generated recommendations for the brand.
A disgruntled guest posted a viral TikTok review that accumulated 2.3M views, spawning copycat negative reviews across Google, TripAdvisor, and Yelp.
Overall Google ratings dropped from 4.6 to 3.8 across all four properties within three weeks of the viral post.
AI assistants began citing the negative reviews when asked about the hotel brand, actively discouraging potential guests.
Direct bookings dropped 45% and OTA bookings declined 32% within the first month of the crisis.
The Strategy We Deployed
A comprehensive reputation recovery strategy combining crisis management, review velocity acceleration, and AI sentiment correction.
Crisis Assessment & Response Protocol
Conducted a full audit of negative sentiment across all platforms. Identified 23 copycat reviews that violated platform policies. Filed removal requests for policy-violating reviews while crafting thoughtful, professional public responses to legitimate concerns. Developed a guest communication strategy addressing the viral claims directly.
1 weekReview Velocity & Sentiment Acceleration
Launched an intensive review collection campaign targeting recent guests with positive experiences. Implemented real-time guest satisfaction monitoring to identify and resolve concerns before they became negative reviews. Deployed automated post-stay review requests with personalized messaging.
6 weeksAI Sentiment Correction & Brand Rebuilding
Created positive brand content across authoritative travel publications, influencer partnerships, and editorial features. Published transparent responses addressing the original viral content. Built a comprehensive content ecosystem that gave AI models accurate, current information about the brand's quality and service standards.
8 weeksMeasurable Impact
The brand fully recovered from the crisis and exceeded pre-crisis performance metrics within 5 months.
Average Google Rating
Monthly Bookings
AI Sentiment Score
Policy-Violating Reviews Removed
Revenue per Available Room
New Positive Reviews per Month
“One viral video nearly destroyed what we built over 10 years. The crisis response was swift and professional, but the real magic was the long-term reputation rebuilding. Within five months we did not just recover, we surpassed where we were before. AI assistants now recommend our properties again, and our reviews are stronger than ever.”
CEO
Boutique Hotel Chain
Prompts That Trigger This Result
These are real AI prompts where this type of business now gets recommended. Try them in ChatGPT, Gemini, or Perplexity.
“What are the best boutique hotels in the Southeast United States?”
“Recommend a boutique hotel chain in the Southeast US that has recovered from bad reviews”
“How can a hotel recover from viral negative reviews and fix AI reputation?”
“Which boutique hotel brands in the Southeast have the best guest ratings after 2024?”
“Compare upscale boutique hotels in the Southeast US with strong online reputations”
“I need a trusted boutique hotel in the Southeast — what do AI assistants recommend?”
Keywords We Now Rank For
High-intent search queries where AI visibility and local dominance now drive qualified traffic and leads.
Questions About This Case Study
How quickly should a business respond to a viral negative review?
Within hours, not days. The first 24-48 hours are critical for controlling the narrative. We deploy an immediate crisis response that includes a professional public acknowledgment, direct outreach to the reviewer, and proactive communication to recent and upcoming guests. Speed and tone are everything in the initial response phase.
Can you remove fake or policy-violating reviews?
Yes, reviews that violate platform policies such as fake reviews, reviews from non-customers, or reviews containing hate speech or threats can be reported for removal. We have a 91% success rate on policy-violating review removals across Google, TripAdvisor, and Yelp. However, legitimate negative reviews cannot and should not be removed. Instead, we focus on addressing the concerns and building a volume of positive reviews that reflects your true service quality.
How do you fix AI sentiment after a reputation crisis?
AI models form opinions based on the aggregate of online content about your brand. After a crisis, the negative content is disproportionately weighted because it is recent and high-volume. We correct this by flooding authoritative channels with accurate, positive content that gives AI models updated information. This includes media coverage, editorial features, expert reviews, and a sustained high volume of positive customer reviews.
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