AI Agent for Customer Feedback Analysis
Aggregate feedback from surveys, reviews, and support tickets - then surface sentiment trends, recurring complaints, and improvement opportunities.
Sentiment Analysis
Analyze customer messages, reviews, and survey responses to classify sentiment as positive, neutral, or negative across all channels.
Topic Categorization
Group feedback into topics - product quality, delivery speed, customer service, pricing - to identify which areas need attention.
Trend Detection
Track sentiment and topic trends over time. Surface emerging complaints before they become widespread issues.
Feedback Digest Reports
Compile weekly feedback summaries for product, operations, and leadership teams with key themes and recommended actions.
Critical Feedback Alerts
Flag highly negative feedback or mentions of specific keywords (e.g., "lawsuit", "cancel", "refund") for immediate team attention.
Multi-Source Aggregation
Pull feedback from Google Reviews, survey tools, support tickets, social media comments, and WhatsApp messages into one view.
FAQ
What feedback sources does it support?
Google Reviews, survey responses (Google Forms, Typeform), support tickets (Zendesk, Intercom), email feedback, and WhatsApp messages.
Can it analyze Arabic feedback?
Yes. The agent processes Arabic and English feedback with appropriate sentiment analysis for both languages, including Gulf dialect.
How often are reports generated?
You configure the schedule - daily alerts for critical feedback, weekly digest reports, and monthly trend summaries.
Does it suggest improvements?
The agent surfaces patterns and recurring complaints. It highlights what customers mention most, leaving improvement decisions to your team.
Turn feedback into action
Set up an AI agent for customer feedback analysis.