Automate hotel review responses and reputation analysis with AI
MARA AI helps hotels manage their online reputation by automatically generating personalized responses to guest reviews across platforms. The AI learns your brand's voice and provides actionable insights to improve ratings. It saves teams hours per week while maintaining authentic guest communication.
Maintains consistent brand personality in automated responses
Pre-built templates for common review scenarios
Central dashboard for managing all guest feedback
Identifies specific improvement areas like pool temperature
One-click responses with daily review notifications
MARA's AI is specifically trained on hotel industry language and maintains brand consistency through Smart Snippets and Brand Voice features.
Yes, the platform supports centralized management for 60+ locations as demonstrated by JUFA Hotels case study.
Integrates with Google Reviews, Booking.com, Tripadvisor, and other major hospitality review sources.
This tool is best for:
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MARA AI can be integrated with these apps and services:
Recent data shows that MARA AI has 51.5K monthly visits (-24.2% decrease from the previous month), 42.0% bounce rate, and average 1.67 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 12% of total traffic. SEO performance is shown by 5 tracked keywords, with "hotel hierarchy" being the top-performing keyword with 250 monthly searches. See below for more info.
Monthly Visits
51.5K
Pages per Visit
1.67
Bounce Rate
42.0%
Average Time on Site
33s
| SEO Keyword | Volume | CPC |
|---|---|---|
| hotel hierarchy | 250 | - |
| mara solutions | 240 | - |
| sistemas informáticos de apoyo a la gestión hotelera, turismo y restaurantes. pos | 200 | - |
| como influyen las google maps reviews | 250 | - |
| what happens if google finds out you have fake ratings on google' | 200 | - |
| Source | Traffic Share |
|---|---|
| Direct | 38% |
| Search | 47% |
| Social | 3% |
| Referrals | 11% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 12% |
 | 9% |
 | 5% |
 | 5% |
 | 4% |
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