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Stop reading reviews one by one. Run your first AI sentiment analysis today and discover what your customers are really saying.
AI sentiment analysis for your Google reviews
Cinquo runs AI sentiment analysis on hundreds of Google reviews and turns unstructured customer feedback into actionable insights. Choose a sentiment summary, a keyword tag cloud, or ask anything about your reviews.























Cinquo's AI review analysis doesn't just count stars — it reads the text of every review, scores customer sentiment and surfaces the topics driving it.
Based on your business category, the AI scores positive, neutral and negative sentiment across the dimensions that matter most — service, food, ambience, wait time, staff attitude — and gives you a clear narrative.
Topic detection and keyword extraction across your selected reviews, visualized by frequency. Instantly spot the themes customers keep mentioning — the good and the bad.
Query your customer feedback in plain language — 'What do customers complain about most?' or 'List the drivers of negative sentiment' — and get a direct AI answer.
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An AI review summary is an automatically generated analysis of a set of Google reviews. Instead of reading each review individually, Cinquo's AI reads them all and produces a structured summary highlighting the main themes, sentiment patterns and key topics — specific to your business category.
Yes. Every summary includes customer sentiment analysis: the AI classifies what reviewers say as positive, neutral or negative and links each sentiment to the topic behind it, so you see not just that sentiment dropped but why — slow service, a new menu, a specific team member. It works on review text, not just star ratings, which is what makes it far more precise than an average score.
A star rating is a single number; review analytics tells you what's behind it. Two businesses with 4.3 stars can have completely different problems. Cinquo's text analytics extracts topics, keywords and sentiment drivers from the actual wording of your reviews, which is the same voice-of-the-customer (VoC) analysis enterprise suites charge thousands for.
Sentiment summary: The AI produces a narrative analysis focused on the dimensions relevant to your category (e.g., food, service, ambience for restaurants), with positive and negative sentiment broken down.
Tag cloud: Keyword extraction and topic detection — the most frequently mentioned words and phrases, visualized by frequency.
Ask me anything: You write a custom question or instruction (e.g., 'List the top 3 things to improve'), and the AI answers based on your actual review data.
You can generate a summary for any batch of reviews you select — from a handful to hundreds. The more reviews included, the more statistically reliable the sentiment patterns the AI identifies. A batch of 30–60 reviews typically yields very actionable insights.
Yes. Filter by date range — last 30 days, last quarter, before and after a change in your operation — and generate a summary for each period. Comparing them shows sentiment trends and tells you whether a new menu, a refurbishment or a staffing change actually moved customer perception.
Cinquo auto-detects the language from your browser settings and generates the summary in that language. You can also manually select a different language before generating. This means you can receive English sentiment analysis even if your customer reviews are written in Spanish, French or Italian.
No — these are two distinct features. AI Replies help you respond to individual reviews faster using a trained agent that matches your brand voice. AI Summaries run sentiment analysis on a batch of reviews to extract qualitative insights. One is about acting on reviews; the other is about understanding them at scale.
Want to act on what you learn? Pair AI Summaries with reply templates and multi-user management to close the loop between insight and action across your whole team.