In the web dashboard or in Telegram; replies are published back to the original platform (Yandex/Google/2GIS) via connected integrations.

You set playbooks, brand vocabulary, and approval levels. AI analyzes the review in context and drafts a reply — you can publish it manually or automatically.

Feedly Geo analyzes topics, sentiment, and review dynamics per location and generates clear recommendations — what to improve first and what actions will bring quick wins.

Yes — competitor benchmarking is available, but it’s enabled on request via the Feedly team.

Key topics customers mention: delivery, price, staff, cleanliness, speed, quality, etc. The AI extracts these aspects and shows which ones are positive and which ones pull the rating down.

We detect negative topics and strong emotions (complaints, threats, risks) and assign a priority (high/medium/low). High priority goes to a separate tab and triggers instant Telegram alerts. Criteria are configurable.

After a visit, the customer scans a QR code: positive feedback is encouraged to be posted on maps, while negative feedback is routed privately to your Feedly dashboard.

Basic setup usually takes 5–15 minutes. Playbooks and brand vocabulary can be configured on the same day.

Role-based permissions, manual restrictions for auto-replies on sensitive topics. You can export data at any time.