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.

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Trusted by customer-obsessed teams

How it works

From feedback.To your next move.

One example from start to finish: a café group in Dubai whose late-night orders keep running slow.

1 of 5

Every review in one list

Reviews from Google Maps, Tripadvisor, Talabat and Deliveroo arrive in one inbox, whether they are written in English or Arabic.

Reviews4 cafés · Last 30 days

Sources

Google Maps

Tripadvisor

Talabat

Deliveroo

120reviews, together

Our mains took about 40 minutes.
★★★★★Dubai Marina
الطلب وصل بعد 45 دقيقة والأكل بارد.The order arrived after 45 minutes and the food was cold.
★★★★★Dubai Marina
Great karak and a lovely welcome.
★★★★★JBR

64 in English56 in Arabic

Example data from a fictional café group in Dubai.

Platform

Key capabilities

App stores, marketplaces, maps and messengers all feeding one inbox

One inbox for every source

Executive Manager Marketer Admin

Roles and control

Critical 19 Sep, 10:15

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

0:14

Left 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

12 Aug, 09:30

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

learn more

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

Support used to be a black hole we emptied once a quarter. Now every ticket lands in a theme, and the three that actually cost us money are on the board by Tuesday morning.

Marta Vieira VP Customer Experience, Lumen Goods

Marketplace reviews went from a four-day wait for a first answer to the same afternoon, and the replies still sound like us rather than like a bot with a thesaurus.

Ilya Sorokin Head of Marketplace, Kova

Built on trust.
Designed for control.

Your data, your control

Your feedback stays yours. It is never used to train models shared with other customers.
Powered by K2 Think

Advanced AI reasoning, built in the UAE by MBZUAI
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 Code Codex SDK CLI

›claude mcp add --transport http feedly https://mcp.feedly.tech --scope user

›codex mcp add feedly --transport http https://mcp.feedly.tech

›npm i @feedly/sdk && npx feedly init --project acme

›feedly sources connect app-store --app 6448…21 --backfill 90d

FAQs

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.

Where to start