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Applied AI

Smart Review Management

Smart review management uses AI to monitor your reviews across Google, Yelp, industry platforms, and social media. It drafts personalized responses, flags urgent issues, and provides insights to improve your ratings over time.

What is it?

Smart review management is an AI-powered system that handles the full lifecycle of online customer reviews. It monitors all major review platforms in real time, analyzes each review for sentiment and topics, generates personalized response drafts, and aggregates insights into actionable reports. The system ensures no review goes unnoticed and every customer feels heard.

How does it work?

The system continuously monitors configured review platforms via APIs and web scraping. When a new review appears, AI analyzes its sentiment, extracts specific topics mentioned, and determines the appropriate response strategy. For positive reviews, it drafts a personalized thank-you. For negative reviews, it crafts an empathetic response addressing specific concerns and routes an alert to the relevant manager. All responses go through a quick approval step before posting.

Business value

88% of consumers trust online reviews as much as personal recommendations. Businesses that respond to reviews within 24 hours see 33% higher ratings on average. Smart review management ensures consistent, timely responses without dedicating staff to monitor platforms all day. The trend analysis helps identify recurring issues before they damage your reputation, and positive review solicitation workflows increase your overall review volume.

Real-world example

A restaurant group with 8 locations deployed smart review management across Google, Yelp, and TripAdvisor. AI-drafted responses cut review response time from 3 days to 4 hours. The sentiment analysis revealed that 'wait time' was the most common complaint at two locations, leading to staffing changes that improved ratings by 0.4 stars within three months.

Related solution

Our AI review manager automates monitoring, responses, and reputation analytics.

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