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What is Viff?

Viff is an innovative AI assistant tailored to provide courteous and relevant responses to your guest reviews in real time. By maintaining consistent communication, you can significantly improve your online reputation and increase your booking rates. Studies show that 87% of travelers are more likely to book a stay when businesses actively respond to reviews. Thoughtful and personalized replies not only set your establishment apart but also foster trust among potential guests browsing for their next accommodation. Nonetheless, creating these replies can be a daunting task for staff members who are managing multiple responsibilities concurrently. Viff customizes its responses to reflect your specific tone and brand voice based on initial guidance, enabling the creation of accurate replies quickly while ensuring consistency across all guest feedback. Users have experienced an astounding fivefold increase in bookings and a 67% rise in their TripAdvisor ratings within just six months of diligently responding to reviews. To generate a response effortlessly, simply select the review text and click the Viff icon—it's truly that simple, with no additional steps required! Viff's seamless integration with all websites and property or reputation management systems ensures that it can effectively assist you in managing guest interactions, regardless of the platform. This ease of use and compatibility makes Viff an essential tool for any hospitality business aiming to enhance guest engagement.

What is Hotel Speaker?

Hotel Speaker is an all-encompassing review management platform that combines advanced artificial intelligence with human insight, allowing hotel administrators to swiftly and effectively respond to guest feedback from various sources while ensuring consistency and authentic engagement. By leveraging cutting-edge natural language processing technology and employing talented native writers fluent in several languages, Hotel Speaker delivers bespoke responses that capture the unique essence of each hotel. This platform's dedication to "Extreme Personalization" ensures that every reply aligns with the brand's standards and reflects its distinctive voice. Moreover, the crafted responses not only bolster reputation management but also serve as a significant marketing tool, showcasing the property's unique offerings at a crucial decision-making moment for potential guests. The system enhances the review management process by scanning numerous review websites, creating customized responses, and automating the publication of replies after receiving approval, while still allowing managers to exercise editorial control and track performance metrics via an intuitive dashboard. With its quick response capabilities and multilingual support, Hotel Speaker strengthens guest relationships and protects the brand's identity, ultimately driving more bookings and fostering customer loyalty. This cutting-edge solution is indispensable for any hotel striving to succeed in an increasingly competitive landscape, ensuring that no guest feedback goes unnoticed and every interaction is meaningful.

Media

Media

No images available

Integrations Supported

Agoda
Airbnb
Booking.com
Tripadvisor
Vrbo

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Viff

Company Location

United States

Company Website

www.viff.ai/

Company Facts

Organization Name

Hotel Speaker

Date Founded

2018

Company Location

France

Company Website

hotelspeaker.com

Categories and Features

AI Review Management

Not specified

Review Management

Not specified

Categories and Features

AI Review Management

Not specified

Reputation Management

Not specified

Review Management

Not specified

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