![]() ![]() When it comes to reputation management, GetDandy is the world’s leading platform. Their products include review aggregation, review removal, reputation management, reputation monitoring, review generation, surveys, webchat, reporting, guest feedback QR codes, and automated review reply services. They have full scale reputation management services, for businesses small and large. Big brands like Midas and Wyndham Hotel Group trust GetDandy for their review removal services, and have seen a jump in rankings with the service. In addition to their OpenTable Review Removal integration, GetDandy boasts over 4000 integrations, including Google Business, Facebook Business, Square, Trip Advisor, Service Titan and many more. This is a clear example of how reviews affect sales, for better or for worse. These numbers are huge for any company who not only wants to improve their online reputation, but also their overall revenue. ![]() This full point increase can potentially increase annual revenue by 8% or more. To get an understanding of just how successful their review removal service is, for one restaurant (Biscuits Cafe), GetDandy removed 588 reviews, leading to an rating increase by 1 full point. “By leveraging our cutting edge technology, restaurants can gain better control of their online presence, fostering a more authentic and positive reputation,” says Nicole. With their OpenTable review removal service, they hope to reach even higher milestones. This past May, the company posted over 330,000 review replies for companies, saving businesses over 5000 hours in man power. GetDandy has been at the forefront of the AI-automation movement, demonstrating just how powerful AI can be for reputation and review management. Since the popularization of ChatGTP and other AI-enabled technologies, reputation management services have had to either adapt or get left behind. Reputation Management has changed a lot in just the last 2 years. “Whether you have 2 or 2000 negative reviews, our proprietary technology can remove them permanently,” says Nicole. AI automation also makes it possible to remove negative or fake reviews, something that can be cumbersome (or impossible) for restaurant owners to do by themselves. With AI automation, restaurants no longer have to manually respond to each review, which can be time consuming. This saves time and money for restaurants. GetDandy uses the power of AI automation to remove these unfair reviews. Fake or negative reviews, and reviews that are in violation of terms of service can tank a restaurant's reputation and affect sales. Many diners rely on OpenTable to not only reserve restaurants, but read reviews from diners. No other dining reservation platform even comes close (including Google). Each month OpenTable seats close to 31 million diners. Since its inception in 1998, OpenTable has seated over 2 billion diners, representing over $91 billion spent at partner restaurants. We’ve been working on this integration for a while, and we couldn’t be more proud that it's finally live.”Ĭurrently, nearly 60,000 restaurants rely on OpenTable to reserve diners globally. “Our new AI-powered integration with OpenTable makes it easier than ever for restaurants to remove unfair reviews and improve their overall restaurant ranking, which translates into a higher earning potential. Founder and company rep Bri Nicole talks about how this new integration is a huge game changer for restaurants everywhere, “At GetDandy, we are revolutionizing the way businesses combat fake reviews and violations of terms of service,” she says. This latest integration with OpenTable will give GetDandy the opportunity to remove fake, negative and unfair reviews for their restaurant partners. GetDandy is a reputation management platform that has been making waves all year for their new AI-powered products that automate reputation management, saving businesses time and money. GetDandy announced a new integration with OpenTable to help restaurants better manage their online reputation through the popular restaurant reservation app. ![]()
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