Review Sentiment
Analyser
Paste your customer reviews and get an instant AI breakdown — overall sentiment, recurring themes, strengths, weaknesses, and exactly what to fix first.
Paste your reviews
Separate each review with a blank line
Tips for best results
- Paste 10–50 reviews for reliable patterns
- Separate each review with a blank line
- Works with Google, Trustpilot, Yelp, any platform
- Use recent reviews for the most relevant insights
Your sentiment report will appear here
Paste reviews and click Analyse Sentiment
Most businesses have no idea what their customers actually think — beyond the star rating
Star ratings tell you how customers feel. Sentiment analysis tells you why — and which specific things to fix to move that number.
73%
Of complaints repeat across reviews
Nearly three quarters of negative themes appear in more than one review — meaning most issues are systemic, not isolated incidents.
4×
Faster than manual review reading
Analysing 50 reviews manually takes 30+ minutes. AI sentiment analysis does it in seconds — with consistent, unbiased results every time.
68%
Of businesses act on wrong priorities
Without pattern data, most businesses focus on the loudest individual complaint — not the most common one. Sentiment analysis shows you what actually matters.
4 ways businesses use sentiment analysis to grow
Knowing what customers think is only useful if you do something with it. Here are the highest-impact ways to act on your results.
Spot recurring complaints
If 12 out of 30 reviews mention slow service, that's a systemic issue — not a one-off. Sentiment analysis surfaces patterns you'd miss reading reviews one by one.
Find your marketing angles
Your strengths section shows what real customers consistently love. These are your most authentic marketing messages — far more credible than anything you'd write yourself.
Track improvement over time
Run analysis monthly. If your weakness last month was 'long wait times' and it's gone from this month's results, your fix worked. Use it as an ongoing feedback loop.
Benchmark before a big change
About to change your pricing, menu, or staff? Run a sentiment analysis before and after to measure the real customer impact — not just the internal perception.
Understanding your sentiment report
Sentiment score (1–10)
7–10 is positive territory. 5–6 is mixed — you have strengths but consistent complaints too. Below 5 signals systemic issues that are actively costing you customers.
Strengths
These are what customers consistently mention positively. Use these exact phrases in your marketing — they're how real customers describe your best qualities.
Weaknesses
Recurring negatives are systemic, not one-off. If 'slow service' appears here, it's not one bad day — it's a pattern that's costing you reviews and return visits.
Themes
Topics that appear frequently across reviews — positive or negative. High frequency themes are what your business is known for in your customers' minds.
Recommendation
One specific action to take based on the full analysis. This is the highest-impact change you could make right now to improve customer sentiment.
Track month-to-month
Run the tool monthly with your latest reviews. A rising score means your improvements are working. A dropping score is an early warning sign before it shows in your rating.
What to do after your analysis
| If your result shows… | Do this first |
|---|---|
| Positive sentiment (7–10) | Use your strengths in marketing. Focus on collecting more reviews to build volume. |
| Mixed sentiment (5–6) | Address your top weakness. It's the gap between good and great — and likely what's preventing 5-star reviews. |
| Negative sentiment (1–4) | Fix the most common complaint immediately. Respond to negative reviews with empathy and a solution. |
| Recurring theme in weaknesses | Treat it as a systemic process issue, not a one-off. Retrain staff, change the process, or communicate differently. |
| Strong themes in strengths | Make those themes central to your brand messaging — website, ads, and social media. |
| Score declining month-on-month | Review what changed operationally. New staff? New menu? New process? Find the change that correlates with the drop. |
know what customers think. act on it.
Bragly collects reviews automatically so you always have fresh data to analyse — and helps you respond to them faster with AI.
Frequently Asked Questions
Review sentiment analysis is the process of using AI to automatically read and categorise customer reviews by emotional tone — positive, negative, or neutral. It identifies recurring themes, strengths, and weaknesses across multiple reviews so you can understand what customers consistently love or dislike about your business without reading every review individually.