Qualitative analysis, finally at your fingertips
You’ve always been able to track your rating, reply to reviews, and chase that better rating. But reviews are more than stars — they’re your customers telling you, in their own words, what they love and what needs work.
Until now, reading through hundreds of reviews to extract patterns was a manual, time-consuming job. AI Summaries changes that. Cinquo now brings qualitative analysis into your review workflow: surfacing the themes, signals, and stories hidden inside your customer feedback, automatically.
Whether you manage one location or fifty, AI Summaries helps you and your team understand not just how you’re rated, but why.
Filter before you ask
Choose the reviews you want to analyze: by location, star rating, or date range. Your summary applies only to that filtered set.
Select the type of summary you want to create
You can create a general summary based on your business category, a tagcloud or make a personalized prompt.
Tagclouds: See what customers keep talking about
Tagclouds give you an instant visual map of the topics your customers mention most.
Every review is analyzed and tagged — service, food quality, wait time, atmosphere, price, staff — and surfaced as a weighted cloud that shows you what’s dominating the conversation around your business.
Not a surprise, here at Cinquo it’s “App” and “Reviews”
Ask me anything: Your reviews on demand
Tag clouds show you patterns. But sometimes you have a specific question:
“What are the main concerns of customers?”
“Make a SWOT analysis of my reviews”
“What are the 4 words more mentioned and how many times?”
Ask Me Anything lets you query your reviews in plain language and get a grounded, AI-generated answer — backed by real quotes from real customers. Possibilities are endless.
Here’s a quick video showing you how it works:
This quick. How much would it take to make this analysis without Cinquo?
This is Cinquo’s philosophy applied to qualitative data: give you the signal you need to make decisions, not a report no one reads.
Try it out now in the desktop version
