Google Reviews analyser Trust, but verify
Google gives you a star rating. TrustScope shows what's behind it: trust score, what people talk about in reviews, quality signals, and how the reviews and the rating itself moved over time
Free, no account, no card.
Two 5-star venues. Two completely different stories.
An average star rating tells you very little. It doesn’t show what people actually loved or hated, how their experiences differ, or whether the reviews are genuine. Google treats the two places below the same.
TrustScope goes beyond the rating, so you can see what a place is really like - without digging through dozens of reviews.
Trust score78 / 100Nine years of reviews, most of them detailed, most from accounts with a long reviewing history. The complaints that exist are scattered, not repeated.
Trust score46 / 100More than sixty five-star reviews in one week, most of them a word or two long, from accounts with almost no history - next to a steady line of complaints about the same thing.
A colour behind every rating
TrustScope adds a small coloured star beneath the Google rating. It is not another score - it is a quick read on how well the reviews behind that score hold up.
Green - The reviews look authentic and consistent. The rating is a reasonably reliable reflection of the place.
Light green - The reviews are mostly credible, with some inconsistencies.
Orange - Weaker signals - inconsistent feedback, thin content, or unusual timing. The rating may not tell the whole story.
Red - Something looks off. A high share of reviews show unusual patterns, or the rating is not clearly supported by the underlying feedback.
Grey - Not analysed yet. Click the TrustScope button under the rating to start the analysis.
The colour is a starting signal, not a verdict. It tells you when a rating is worth a closer look - the detailed analysis is where you take it.
TrustScope76 (11%)
TrustScope
TrustScope34 (7%)
Every number has evidence
- Base credit10
- Text & reviewer history+66 / 70
- With photos+4 / 10
- Real profile photo+6 / 10
- Unusual patterns−3
- Removed reviews−6
Very good filter coffee, but the service was extremely slow - twenty minutes for two flat whites and nobody checked on us once.
Pleasant room, excellent espresso. The staff were not especially friendly, which is the only thing keeping this from perfect.
The food was okay, but no more than that. Someone should take another look at what they are charging for it.
Nice space, but the flat white arrived lukewarm twice and the second one was never replaced. Nobody cleared the tables the whole time we sat there.
Queued fifteen minutes at ten in the morning with two people behind the counter, and the pastry was stale when it arrived.
The coffee was badly over-roasted, which for a place calling itself a roastery surprised me. The staff were friendly about replacing it, but the second cup was worse than the first.
Check any insight
Every figure on the panel is a door. If service is scored low, read the reviews that scored it low.
No black box
Every conclusion traces back to real customer reviews you can open and read in full.
The original, not a summary
You read what people actually wrote, with their photos and their star ratings, not a paraphrase of it.
You decide what matters
A flagged issue that is a dealbreaker for one person is irrelevant to another. TrustScope does not make that call for you.
Five ways to look beyond one rating
Trust score
A 0–100 read on how credible and consistent the reviews look. Two things pull it down: reviews showing an unusual pattern cost up to 10 points, and reviews Google itself removed from the venue discount whatever is left by up to half. Both are also shown as their own figure, so you can see what moved the number.
What people talk about
A score per aspect that matters for that kind of venue - service, food, cleanliness, value, waiting time, staff - so you see where a place is strong and where it keeps falling short.
Review quality signals
Whether reviews look like they came from real visitors: photos attached, real profile pictures, detailed text, and accounts with a history of reviewing rather than one made to leave a single review.
Rating distribution
How the individual star ratings actually spread out - which is where a polarised venue hiding behind a smooth average gives itself away.
Reviews over time
How review volume moved month by month, and the venue's own star rating alongside it - the number Google showed on each date, not just today's. A long, steady history reads very differently from a sudden spike around a promotion, and a rating sliding while the reviews keep coming reads differently again.
Together these answer the question a single rating cannot: not just how good a place is, but why, how consistently, and how much of it you should believe.
The same view, from the other side
TrustScope is built for people reading a rating. But the same honest, detailed view of a reputation is just as valuable to the business behind it.
- What customers keep praising, aspect by aspect.
- Which problems keep coming back often enough to form a pattern.
- Whether your reputation is steady or being shaped by a recent burst of reviews.
This isn’t a tool for gaming your rating. It’s a way to understand the customer experience behind it - recognise what you’re doing well, catch recurring problems early, and see what’s really shaping how customers feel.
Complete review history
Analysis of every review your venue has ever received, beyond the last-12-months window the public analysis covers.
Competitor benchmarking
How your aspect scores and reputation trends compare against the venues you actually compete with.
An AI assistant
One that reads tone, context and nuance in customer language, surfacing what a rule-based algorithm cannot catch.
Questions, or something you need that is not here? support@trustscope.app
What people wrote back
Comments from the Reddit threads, direct messages. Quoted in full and in the language they were written in - praise and criticism both.
Nopanic_justdisco
/r/Mainz
Hi! Super Karte, vielen Dank! Bei Da Vito ist nur die angegebene bewertung falsch :)Read on Reddit
ZGLayr
/r/Leipzig
Coole Sache, vielen Dank für die Arbeit! Wäre es möglich auf der Karte die Option zu geben statt nach absoluten Zahlen in Sachen gelöschter Bewertungen nach prozentual gelöschten anzuzeigen?Read on Reddit
CrazyTrick499
/r/bremen
Ich habe deine Karte schon in anderen Städte-Subs gesehen. Ich finde das Projekt eigentlich gut. Allerdings ist es schwierig, bei jeder gelöschten Bewertung von 1 Stern auszugehen. Von mir wurde von einem Restaurant in Berlin eine 3 Sterne-Bewertung gelöscht. Auf der anderen …Read on Reddit
leberlinois
/r/berlinsocialclub
Nice work! I think you're missing some data, I know Monsieur Vuong has more than 250 removed, but it's not shown on the mapRead on Reddit
FaradaysFoot
/r/duesseldorf
Hammer, direkt mit meinem Umfeld geteilt. Danke!Read on Reddit
nighteeeeey
/r/berlinsocialclub
this is super helpful thank you so much for your work and i hope you will benefit from the work put in!Read on Reddit
Fun_Vegetable7369
/r/duesseldorf
sehr gut! Jetzt weiss ich, was ich in Düsseldorf nicht mehr besuchen werde!Read on Reddit
KirkieSB
/r/berlinsocialclub
Cool stuff! 🥇 Thank you for your time and efforts, this is useful information. 👍Read on Reddit
FAQ
Look behind the stars
Install it, open any venue on Google Maps, and the analysis is one click away.
- No account, no sign-up, no card.
Or hear when the AI analysis and the business tools land - email only.