Most chains start review monitoring with Google Maps and stop there, yet customers who navigate with Yandex rate the store on Yandex Maps, and those reviews never reach head office. This post explains how BranchVoice collects Yandex Maps reviews, how it merges them with the same store's Google listing, and what a regional manager actually does with the second source.
Why Yandex Maps reviews deserve their own feed
On Google and Yandex, the same store has two separate pages, two separate ratings and two separate review streams. The people writing them do not always overlap either: a customer who never reviews on Google may post on Yandex regularly. A chain that watches a single source simply does not hear part of the customer voice in some of its stores.
The second reason is comparison. If a store scores high on Google but noticeably lower on Yandex, the gap itself is a signal, but a team tracking the two platforms in two spreadsheets will not notice it. In BranchVoice both sources appear on the same store card with the same topic tags.
Finding your stores on Yandex
In the store import wizard you pick Yandex Maps as the source. There are two ways in:
- Search: you combine search terms such as the brand name with a list of provinces. Yandex identifies chains with a chain number; when you enter it, only the brand's own branches come back and unrelated businesses with a similar name are dropped. If you do not select provinces, the chain number is required and all 81 provinces are scanned one after another.
- Link list: if you already have the Yandex Maps business URLs, you paste them directly.
When the search finishes, the candidates are listed. One detail matters here: BranchVoice compares every Yandex candidate with your existing stores by location. A Yandex listing next to a store you already added through Google is proposed as a second source for that store, not as a new store. Your "Izmir Optimum" store stays defined once, with both a Google and a Yandex source underneath it. The full flow is described in importing your store list.
How reviews are collected and linked
Once you confirm, reviews are fetched for every selected listing. The first import pulls historical reviews up to the limit you set, sorted by newest or lowest rating. Yandex offers no date-range filter, so instead of "the last six months" you work with a review count limit.
Scheduled sync behaves differently: each run fetches only the newest reviews, so you never pay the data provider again for the same historical reviews. Scheduled review sync covers the scheduling options and manual triggers.
The linking rule is the same as for Google: a Yandex review belongs to whichever business page it was written on, deterministically. There is no AI guesswork about the branch, unlike Şikayetvar or Ekşi Sözlük; the store is known the moment the review arrives. You can also choose not to store reviewer names at all, in which case the text and rating come through but no personal data is kept.
Same analysis, same alerts as Google
Yandex reviews do not live in a separate module. Every review goes through the same AI pipeline as the other platforms: sentiment, risk level, topics, responsible unit and employee mentions are all tagged. In the dashboard's topic breakdown, store scorecard and store comparison screens, Yandex data is counted alongside Google data, and the platform filter separates them whenever you need to.
Alert rules are platform-agnostic too. A rule like "email the regional manager when the share of negative reviews at a store crosses the threshold" fires just the same when those negative reviews come from Yandex. Anomaly detection works the same way: a spike that deviates from a store's own normal is flagged regardless of where the reviews originated.
What changes for a regional manager
In practice, the biggest change is that the "let's also check Yandex" step disappears. When the regional manager opens their stores on the dashboard in the morning, negative reviews from Yandex sit in the same list; in the conversation with the store manager the focus is on what the complaint is about, not which platform it came from.
For the operations lead, cross-platform inconsistency becomes a new signal. A store that looks fine on Google but scores low on Yandex often has a problem with a specific customer segment, and seeing the two sources side by side is what makes that question possible to ask.
Next steps
If your Google source is already set up, adding Yandex takes a few minutes in the same wizard, and location matching keeps your store list free of duplicates. To see your stores' Yandex review stream next to the Google data, request a demo.