We answer the most common questions

Reading reviews one by one works when volume is small, but it stops being useful when you have hundreds or thousands of comments. Analytee adds speed, analytical consistency, and the ability to detect patterns that are invisible at a glance, so customer feedback becomes a real improvement tool rather than accumulated noise.

Yes. Analytee lets you compare branches, identify differences between locations, and detect which sites have better or worse perception in specific areas such as service, timing, cleanliness, or product quality. This makes internal benchmarking and site-level decision-making easier.

Yes. One of the main uses of review analysis is detecting early signals: drops in satisfaction, emerging negative topics, spikes in complaints, or changes in service perception. That lets you react before the issue turns into a sustained rating decline or a loss of trust.

The system groups similar mentions, identifies the topics that most affect customer satisfaction, and prioritizes findings by frequency, polarity, and reputational risk. From that, it generates clear conclusions so you can decide what to fix, what to reinforce, and where to act first.

The platform is designed to work with sources such as Google Maps, Tripadvisor, Facebook, Yelp, the App Store, Google Play, and other relevant platforms depending on your business. Exact availability depends on the active integration and the collection flow configured for your project.

Analytee processes the full review text to detect sentiment, recurring topics, strengths, weaknesses, urgency, and customer experience patterns. The goal is not just to count stars, but to turn scattered comments into actionable insights for operations, marketing, and leadership.