Turn Customer Signals into Actionable Impact.
Feedly unifies feedback from every channel, applies AI to surface what matters, and delivers insights your teams can act on, faster.
Trusted by customer-obsessed teams
The workflow
How does Feedly work?
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01
Connect your sources
App stores, marketplaces, maps, help desks, Telegram. More than 40 sources, and public ones need nothing but a link. Feedly also goes asking: NPS surveys and review requests run on their own.
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02
AI reads every word
Every review, ticket and call transcript is tagged within minutes: its theme, how it felt, the language it arrived in, and whether it is critical, or fake.
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03
Themes, ranked by importance
Themes come back in your customers’ own words, ranked by weight (volume, urgency, revenue at risk) and set next to how you compare with rivals, location by location.
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04
Just ask, in plain words
No filters to build or dashboards to learn. Ask the question you would ask a colleague. The answer comes back with the reviews it was drawn from, quoted and dated, so you can check it.
Platform
Key capabilities
Sign in as
Executive
Manager
Marketer
Admin
Roles and control
Critical
The delivery date moved twice with no explanation, and I had to chase the order myself every time.
Critical reviews, caught early
Ticket #4821 · Damaged on arrival
Triaged
Assigned
Compensated
Closed
Refund approved₽1 200
Tickets and compensations
Price watch · Wireless earbuds
- Your store ₽4 990₽4 890 −4%−6%
- Rival A ₽5 290₽5 390 +2%+4%
- Rival B ₽4 690₽4 590 −7%−9%
Price monitoring
Fake
Never ordered here but everyone knows they cheat!!! avoid!!!
Reported
Under review
Taken down
Rating restored
Removed this quarter 217224
Fake and unfair reviews, taken down
Scan · rate · or just say it
0:14Left by voice1 in 3
QR surveys at the point of service
Tone of voice
Friendly & warm
Formal
Polite but firm
With humour
Engaged
Neutral
AI auto-replies
The dishes arrive beautifully plated, and the desserts are worth the trip on their own. On the downside, the wait can run long, and at peak hours it gets loud and cramped.
AI text analysis
Templates
- /lateDelivery delay: apology and tracking
- /refundRefund approved: steps and timing
- /damageDamaged item: replacement offer
Reply templates
QDoes the sleeve fit a 15-inch laptop?
AYes, up to 15.6 inches with the strap let out. answered in 4 min
Answers to buyer questions
How likely are you to recommend us?
012
345
678
910
1 284 responsesNPS 62
Surveys and NPS
Request flow
- 1Order marked delivered
- 2Wait two days, ticket closed
- 3Ask in the channel they used
Review volume+18%
Review requests on autopilot
Detected language
Russian
English
Kazakh
Turkish
Replies sent in14 languages
Replies in the customer's language
Customers praise
- Support34%
- Delivery26%
- Pricing22%
- App UX18%
Customers complain
- Wait time31%
- Packaging27%
- App bugs24%
- Returns18%
Sentiment splitlast 30 days
Reviews per daylast 7 days
- Positive
- Neutral
- Negative
Dashboards and metrics
Where is my order? It is three days late.
Feedly It left the sorting hub this morning. Here is the new tracking and a ₽300 credit for the delay.
Handled without a human78%
First-line support
Rating vs category
- Your store4.6
- Rival A4.2
- Rival B3.9
- Category4.1
Competitor benchmarks
Rating by location
- Tverskaya4.7
- Arbat4.4
- Sokol4.2
- Khimki3.6
Every location, side by side
First response · last 24 hours
- Anna 12 min9 min in SLA
- Pavel 24 min21 min in SLA
- Marina 1 h 402 h 05 late
Response times by owner
Always on, across every channel.
Feedly runs around the clock on infrastructure of its own, wired into 40+ sources: app stores, marketplaces, maps, help desks, call transcripts, NPS surveys. You connect it once: it keeps collecting, tagging and routing every signal while your team ships.
Using Wildberries
Using Ozon
Using Yandex Maps
Using 2GIS
Using Instagram
Using Telegram
Using VK
Using amoCRM
Using Bitrix24
Using Mango Office
Using MTS Exolve
Using App Store
What customers say
We stopped arguing about what customers actually think. Product, support and leadership now open the same ranked list every Monday, and the raw quotes sit right under every line of it.
Anton Belov
Head of Product, Nordvik Retail
Data protection
to Russian standards
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Yandex AI Startup Lab resident
Part of the Yandex AI startup ecosystem
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152-FZ and localisation
Data is stored and processed on servers in Russia, and nothing leaves the country.
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Everything available over the API
Themes, scores and the raw text behind them, readable through the API or as an export, whenever you want them.
- 2 000 000+Reviews processed
- 40+Sources connected
- 96.7%Theme detection accuracy
- 14Languages in the system
Developers
Start piping signals in via
MCP, CLI, SDK, or API
claude mcp add --transport http feedly https://mcp.feedly.tech --scope usercodex mcp add feedly --transport http https://mcp.feedly.technpm i @feedly/sdk && npx feedly init --project acmefeedly sources connect app-store --app 6448…21 --backfill 90dFAQs
Not another dashboard. Answers you can act on.
What can Feedly do for my team?
It reads every review, ticket, survey and call transcript you already collect, groups them into the themes your team actually argues about in planning, and ranks those themes by the revenue and churn sitting behind them. What you get is a short list of what to fix next, with the raw customer quotes still attached to every line.
What do I need to start?
A list of the places your customers already talk: store listings, marketplace pages, map profiles, your help desk. Public sources need nothing but the link, with no SDK and no code on your site. Private ones connect through native integrations or the API, and the first sync backfills up to 12 months of history.
Which channels do you pull from?
40+ out of the box: App Store and Google Play, Wildberries and Ozon, Yandex Maps and 2GIS, Zendesk, Intercom, Telegram, call transcripts, NPS and CSAT surveys, support inboxes. Anything unusual goes in over CSV or the ingest API and lands in the same stream as the rest.
Will the AI speak our product's language?
Themes are built from your own feedback, not from a generic industry taxonomy, so they come back in the words your customers use. Rename, merge or split a theme once and Feedly relabels the whole backlog behind it, along with everything that arrives afterwards.
Who owns the data you process?
You do. Your feedback stays yours, it is never used to train models shared with anyone else, and you can export the full archive of raw text, themes and scores, or ask for a hard delete at any point.
How fast do I get results?
First themes land within a day of connecting a source, already computed over the backfilled history rather than from scratch. After that it runs continuously: new feedback is tagged within minutes, and a spike on a theme reaches its owner the same hour.
