AI Call Sentiment Analysis to Track Customer Emotions
Understand how your customers feel during every conversation with call sentiment analysis from Calilio. Our AI-powered call center software automatically detects positive, negative, or neutral emotions, helping businesses measure satisfaction, spot unhappy clients, and improve service quality.

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Analyze Customer Call Sentiment with Virtual Phone Numbers
Get local, mobile, or toll-free virtual numbers from 100+ countries and track customer sentiment on every conversation. Calilio automatically analyzes customer emotions during calls and stores insights and call sentiment reports in the cloud for easy access anytime.
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How to Get Call Sentiment Analysis Reports on Calilio?
As soon as a call ends, Calilio’s AI generates a detailed call report consisting
of customer sentiment (positive, negative, or neutral)—along with the transcript, summary, reason, and conclusion of the call—in the callbox.
Moreover, from our advanced AI call analytics, supervisors and managers can filter calls by positive, neutral, or negative sentiment. It helps them monitor sentiment trends across calls and agents to review unhappy clients, coach agents, and track improvements over time.
Step 1
Sign up and log in to your Calilio account.
Step 2
Purchase or port your number from the dashboard.
Step 3
Go to Settings > My Numbers and select the number.
Step 4
Toggle on Auto Transcription to allow AI processing of calls.
Step 5
Calilio records and transcribes the call, then detects customer sentiment.
Step 6
After a call ends, its sentiment is displayed in the AI-generated call report in the callbox.
Step 7
You can filter calls by positive, negative, or neutral sentiment from AI call analytics.

Voicemail Transcription
Convert voicemails into text and detect sentiment within messages. Businesses can measure caller mood even when live conversations don’t take place.


AI Call Reports
Every conversation generates an AI-powered report that includes transcripts, summaries, reasons, conclusions, and sentiment analysis. It gives managers a complete view of both what was said and how customers felt.
- Call Transcription
- Call Summary
- Reason for Call
- Call Conclusion
Call Transcription
Call Summary
Reason for Call
Call Conclusion

Call Recording
Review original call recordings with sentiment insights attached. It ensures full context when validating outcomes, addressing disputes, or improving agent performance.
What is Customer Sentiment Analysis?
Customer sentiment analysis is the process of identifying and evaluating emotions expressed during customer interactions. AI analyzes tone, keywords, and speech patterns of calls to detect whether conversations are positive, negative, or neutral.
In call centers and contact centers, sentiment analysis helps organizations measure customer satisfaction.

How Does AI Call Sentiment Analysis Work to Measure Customer Satisfaction?
Calilio uses natural language processing (NLP) and machine learning algorithms to analyze conversations in real time. The AI examines tone, word choice, and context to determine whether a caller’s sentiment is positive, negative, or neutral.
- Call Ends: Every call is securely recorded on Calilio and converted into searchable text.
- AI Analysis: The AI phone system reviews tone, speech patterns, and conversation flow.
- Sentiment Detection: AI categorizes the interaction as positive, negative, or neutral.
- Callbox Access: Users see the AI report for call sentiment analysis directly from the callbox.
- AI Dashboard: Supervisors can review sentiment trends and filter calls by sentiment types.


Benefits of Call Sentiment Analysis
AI-powered call sentiment analysis helps businesses understand what customers say and how they feel. By detecting emotions during conversations, Calilio enables teams to improve service, coach agents, and build stronger customer relationships.
Identify Unhappy Clients Early
Calilio’s AI-powered cloud phone system helps detect negative sentiment and take action to prevent churn and resolve issues.
Improve Agent Coaching
Enhance Reporting & Analytics
Boost Customer Retention
Who is Customer Sentiment Analytics For?
Integrate Customer Sentiment Analysis with Your Business Tools
Calilio integrates seamlessly with your existing systems, making insights actionable across your organization. You can sync call sentiment data with CRMs, analytics, and workflow tools for a complete view of customer experience.
Zapier
Automation
Pipedrive
CRM
Pabbly Connect
Automation
LeadHeed
CRM
HubSpot
CRM
Salesforce
CRM
Mailchimp
Marketing
Krispchat
Sales Automation
Zendesk
Helpdesk
Request Integration
Best Practices for Using Customer Sentiment Analysis in Call Centers
Businesses should enable sentiment tracking across all numbers, review insights regularly, and act on negative sentiment quickly.
Do’s
Identify call sentiment analysis of customers on all business numbers
Review sentiment trends in AI reports to spot unhappy clients and recurring issues.
Read the full transcript of the call for the full context of the complex issues.
Use sentiment data to coach agents on empathy and communication skills.
Dont’s
Don’t ignore negative sentiment—address dissatisfied customers promptly.
Don’t rely only on sentiment without checking transcripts or recordings for details.
Don’t treat all sentiments equally—prioritize urgent cases flagged as negative.
Don’t skip reporting—review sentiment analytics regularly to improve strategies and service quality.
Calilio’s Pricing Plans with Customer Call Sentiment Analytics
Calilio’s telephony solutions include customer sentiment analysis tools, so businesses of any size can track customer emotions and improve service quality.
All our flexible and cost-effective VoIP plans are designed to provide you with sentiment analysis service to track satisfied customers and unhappy clients.
Enterprise Plan
Custom
Everything in the Premium Plan, plus:
- Queue Call BackComing Soon
- All Call Strategy Features
- Dedicated Account Manager
- Phone and WhatsApp Support
Frequently asked questions
How do you analyze consumer sentiment?
Consumer sentiment is analyzed by tracking tone, keywords, and conversation patterns. Calilio’s AI automatically detects emotions in calls and categorizes them into positive, negative, or neutral for easy review.
What is an example of sentiment analysis?
Can AI be used for sentiment analysis?
What is sentiment analysis in customer service?
What is the best KPI for measuring customer satisfaction?
How to improve sentiment in a call center?

Still have questions?
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