AI Customer Sentiment

Understand What Your Customers Actually Think. Automatically.

Troof's AI reads every review, survey response, and support ticket you collect, and tells you exactly what customers are talking about, how they feel about it, and how that is changing over time.

No manual reading. No spreadsheets. No guesswork. Just instant, data-backed clarity on what your customers want, what they love, and what needs fixing.

Hero Image

Hundreds Of Reviews. Thousands Of Survey Responses. Zero Clarity.

Your business is collecting feedback from everywhere: Google reviews, Trustpilot, surveys, support tickets, cancellation forms. But what does it all mean? What are the patterns? Which issues are getting worse? Which improvements are actually working?

Most businesses cannot answer these questions without days of manual work. Someone exports the data, tags it in a spreadsheet, tries to spot trends, and by the time they have got something useful the data is already stale.

Meanwhile, the issues customers keep mentioning quietly grow into churn, negative reviews, and the kind of public complaints that AI models pick up on and use to shape their opinion of your business. The gap is not data. You have plenty of data. The gap is understanding, fast enough to act on it.

Instant Customer Feedback Sentiment Tracking

From Data Chaos to Clear Insights in One Click

Connect Your Feedback Sources

Import all your customer feedback into Troof. Reviews from Google and Trustpilot, survey responses from your forms, support tickets from your help desk: bring it all together in one place.

All your feedback, unified:

  • Import reviews from all major platforms in seconds
  • Sync new reviews automatically as they arrive
  • Collect responses through Troof's forms and surveys
  • Import support tickets from Zendesk and other help desks
  • Upload historical feedback via CSV
Connect Your Feedback Sources

AI Analyses Everything in One Click

Hit Analyse and watch Troof's AI read through every piece of feedback. In minutes, it identifies the main themes customers are talking about, completely automatically, no manual tagging required.

What AI discovers:

  • Main themes across all feedback automatically identified
  • Each theme scored for sentiment (1-5 scale)
  • Volume indicators showing how often each theme appears
  • Positive, negative, and neutral examples for each theme
  • Initial trends and patterns
Troof AI Analysis
Google Reviews
Trustpilot
Survey Responses
Support Tickets
Cancellation Forms
NPS Responses
Analysing 2,847 responses

Track Sentiment Changes Over Time

As you collect new feedback daily, Troof continuously updates your themes and tracks how sentiment changes. Watch improvements happen in real-time or catch declining satisfaction before it becomes a crisis.

Continuous monitoring:

  • Automatic sentiment updates as new feedback arrives
  • Trend graphs showing sentiment over weeks, months, or years
  • Alerts when sentiment drops significantly
  • Compare time periods to measure impact of changes
  • See which themes are improving vs. declining
Track Sentiment Changes Over Time

Take Action on What Matters Most

See a theme with low sentiment? Click to explore it deeply, build an action plan, and track the impact of your improvements. Troof shows you what to fix and proves when it is working.

From insight to action:

  • Prioritise issues by sentiment score and volume
  • Click any theme to explore deeper with AI
  • Build action plans directly in Troof
  • Monitor progress as you implement fixes
  • Measure ROI of improvements
Take Action on What Matters Most

Why Automatic Theme Discovery Changes Everything.

Gone are the days of trawling through individual customer reviews and form responses looking for insights. Troof will do all of that hard work for you.

“Shipping Speed” drops 4.2 → 3.8
Identify courier issue
Rebounds to 4.5 after fix

Catch Problems Before They Escalate

When sentiment starts declining for a theme, you get early warning. Fix issues when they are small problems, not after they have cost you customers and damaged your reputation.

Before New Menu3.2/5.0
After New Menu4.7/5.0 (+46%)

Prove Your Improvements Are Working

Made changes based on feedback? Track sentiment over time to measure impact. No more wondering if your fixes actually helped, you will see it in the data.

Hidden Theme Detected:
“Packaging difficult to open”
Mentioned in 5.2% of 5,000 reviews

Find Patterns Impossible to Spot Manually

Reading 100 reviews, you might notice a few patterns. AI reading 10,000 reviews finds themes mentioned by just 5% of customers, important issues you would completely miss manually.

85% Care About Price
15% Care About Colour

Stop Flying Blind

Instead of guessing what customers care about, know for certain. Prioritise improvements based on actual sentiment data, not the loudest internal voice or gut feeling.

See Sentiment Tracking in Action

Here's a real workflow showing how businesses use sentiment tracking to drive improvement.

Week 1: Discovery

Problem Identification

Import 6 months of feedback (reviews, cancellation forms, tickets)

AI discovers 8 main themes

"Onboarding Experience" shows 2.9/5 sentiment

34% of churned customers mention it

Week 2-3: Investigation

Digging Deeper

Click into "Onboarding Experience" theme

See 127 customer quotes highlighting confusion

Use AI Chat to ask: "What specifically confuses users about onboarding?"

Build action plan: Redesign first-time user flow

Week 4-8: Implementation

Taking Action

  • Product team redesigns onboarding
  • New tutorial videos added
  • Interactive walkthrough created
  • Changes deployed gradually
Week 9-12: Measurement

Tracking Impact

Monitor "Onboarding Experience" sentiment weekly

See sentiment improve: 2.9 → 3.4 → 3.8 → 4.1
"So much easier to get started now!" ✅
Week 13: Results

Proven ROI

Onboarding Sentiment4.1/5 (up from 2.9)
Early Churn-23% reduction
Setup Completion+31% increase

Sentiment Trend: "Onboarding Experience"

Weekly sentiment score (1-5 scale)

ROI Proven with Real Data

Unlike generic feedback tools, Troof lets you correlate specific product changes with sentiment improvements, proving exactly what works.

THE TROOF WAY

How Different Teams Use Sentiment Tracking

For Product & Development Teams

The Challenge

You are building features, fixing bugs, and improving the product, but how do you know what impact your work has? How do you prioritise what to build next?

How Troof Helps

Workflow:

  • 1
    See which themes have the lowest sentiment scores
  • 2
    Prioritise fixes for themes with high volume + low sentiment
  • 3
    Build and ship improvements
  • 4
    Monitor theme sentiment to measure impact
  • 5
    Prove ROI with before/after data

The Outcome

Build what customers want. Justify roadmap decisions with real data.

Product Roadmap Priorities
CRITICALHIGH
Mobile App Performance3.1/5.0
28% Volume Declining
Status: In ProgressETA: 2 Weeks
Checkout Flow3.6/5.0
15% VolumeStable
Search Function4.5/5.0
Low PriorityImproving

For Customer Success & Support Teams

The Challenge

You are responding to individual customer issues all day but struggle to see the bigger picture. What are the systemic problems driving churn?

How Troof Helps

Workflow:

  • 1
    Monitor sentiment trends weekly
  • 2
    Get alerts when sentiment drops for key themes
  • 3
    Investigate themes with declining sentiment
  • 4
    Address root causes before churn accelerates
  • 5
    Track recovery as fixes are implemented

The Outcome

Catch problems early. Reduce churn systematically.

Sentiment Alert: Customer Support

Sentiment dropped from 4.7 to 4.1 this week.

Recommended Action: Investigate “Response Time” complaints.

Recovery Detected

“Customer Support” sentiment rebounded to 4.6.

For Business Owners, Execs & Founders

The Challenge

You need to understand customer health at a glance and make strategic decisions about where to invest resources, but you do not have time to read through feedback manually.

How Troof Helps

Workflow:

  • 1
    Weekly dashboard review of all theme sentiment
  • 2
    Identify trends: what is improving, what is declining
  • 3
    Allocate resources based on sentiment impact
  • 4
    Track quarterly sentiment shifts
  • 5
    Report customer satisfaction progress to board

The Outcome

Make strategic decisions based on customer reality, not assumptions.

Executive dashboard showing high-level sentiment trends with AI chat sidebar
“Troof lets us quickly see what our customers are saying and turns that insight into action. It saved so much time on manual review, so our team can focus on smarter decisions.
Daniel Walling

Daniel Walling

Owner, Ruger Lytham

Before Troof, we were firefighting individual issues without seeing the bigger picture. Now we catch systemic problems before they cause mass churn.”
Sarah Chen

Sarah Chen

VP of Product

“Troof replaced three tools and saved us 15+ hours per week. Instead of manually tagging feedback in spreadsheets, Troof does it automatically for us. More importantly, we are actually making improvements based on customer data now.
Marcus Rodriguez

Marcus Rodriguez

Head of Customer Success

Beyond Manual Tagging
and Spreadsheets

Many businesses try to track sentiment manually. It does not scale, and important patterns get missed.

Without Troof
With Troof
Read reviews one by one
AI reads all feedback in minutes
Manually tag themes in spreadsheets
Themes discovered automatically
Hope you catch important patterns
Never miss patterns, even in 10,000+ responses
Takes weeks to analyse large datasets
Analysis done in seconds, not weeks
Outdated the moment new feedback arrives
Updates automatically with new feedback
Subjective: different people see different patterns
Objective: AI finds themes based on actual data
Feedback disconnected from your AI visibility
Customer themes feed directly into AI Sentiment and Visibility Actions

Customer Sentiment That Feeds Into Your AI Visibility

Troof tracks two types of sentiment for your business. AI Sentiment Tracking monitors what ChatGPT, Claude, Perplexity, and Gemini think about you. Customer Sentiment Tracking (this page) monitors what your actual customers think, based on every review, survey, and support ticket they submit.

These two are directly connected. The themes your customers talk about, the complaints they raise, the praise they give, all of this eventually shapes the data AI models read and learn from. When customer sentiment drops on a theme like “delivery speed” or “customer support,” it is only a matter of time before that shows up in your AI sentiment too.

By tracking customer sentiment with Troof, you get the earliest possible signal. You see problems forming in private feedback before they become public reviews, forum posts, and social complaints that AI picks up on. Fix them early, and you protect both your customer experience and your AI visibility.

Customer Feedback

Reviews, surveys, support tickets

Troof Customer Sentiment

Themes discovered, sentiment scored

Public Web

Reviews, forums, social media

AI Sentiment & Recommendations

What ChatGPT, Claude, Perplexity & Gemini say about you

Troof sits at the earliest point in this chain

Find Out What Your Customers Are Really Saying

Import your feedback and discover themes automatically in under 60 seconds. Start tracking sentiment over time and understand your customers with data, not guesswork.

Start Tracking Sentiment Free

Free 3-day trial. Setup in 60 seconds

The Full AI Visibility & Reputation Management System

Explore How Troof Manages Your
AI Visibility & Online Reputation

AI Chat Analysis Dashboard

AI Chat Analysis

Ask your feedback data anything and get instant, data-backed answers. Go deeper on any theme.

Learn More
Review Collection & Management Dashboard

Review Collection & Management

Your reviews feed directly into sentiment tracking. Collect, manage, and respond to them in one place.

Learn More
AI Sentiment Tracking Dashboard

AI Sentiment Tracking

See what AI models actually think about your business, and how your customer sentiment shapes that perception.

Learn More

Questions? We've Got Answers.

Troof's AI reads through all your feedback and identifies topics that customers mention repeatedly. It groups similar comments together, names each theme based on what customers are talking about, and scores sentiment for each theme. All of this happens automatically, no manual tagging required.