Kīrtelo

PRACTICAL GUIDE · 6 MIN READ

How to manage Google reviews across multiple locations

The practical answer

Manage Google reviews across multiple locations with a named owner for each profile, shared response standards, a clear escalation route and a weekly review of recurring themes. Compare locations using consistent time periods and review volumes, then assign improvements locally.

Give each location an owner and a backup

When everyone can see a review but nobody owns the next step, responses get delayed. Name a person responsible for monitoring each location, checking the facts and coordinating follow-up. Assign a backup for leave and busy periods.

A central reputation or customer-experience lead can maintain standards and review patterns across the business. Local managers contribute the context: which appointment the review concerns, whether there was a staffing issue and which remedy is realistic.

Use authorised Business Profile access rather than sharing one person’s password. Keep permissions appropriate to each person’s role and review access when responsibilities change. Google provides owner and manager roles; refer to its current guidance when setting these up.

Define a response standard, not a script for every situation

A shared standard should explain the tone, privacy rules, approval process and types of promise staff can make. It can include example replies, but each answer should address the actual feedback.

Suggested ownership for review follow-up
SituationFirst ownerNext step
Routine praiseLocation teamReply personally and share relevant recognition
Service complaintLocation managerCheck facts and assign private follow-up
Recurring issue at several locationsCentral operations leadInvestigate a shared process
Safety or sensitive allegationDesignated responsible leadEscalate promptly before drafting a public reply

Agree an internal response-time target based on staffing and opening hours. “Within one working day” may be a useful starting point for some teams, but it is an operational choice, not a Google requirement. Serious issues need an immediate internal escalation even if the public reply takes longer to verify.

Keep one queue with meaningful statuses

Whether you start in a spreadsheet or a dedicated tool, each review should have a location, date, link, assigned owner and status. Separate “reply published” from “customer issue resolved”; they are different outcomes.

Keep an escalation field for sensitive or urgent issues. Limit detailed personal information to the system and people who need it; a shared review dashboard does not need to become a public copy of customer records.

Compare locations fairly

A location with six new reviews can show a large rating swing after one complaint. A location with 160 reviews is less sensitive to an individual review. Display the sample size and date range beside every comparison.

Track both complaint counts and the share of reviews mentioning each complaint. For example, four arrival complaints among 20 reviews is 20%; eight among 100 is 8%. The second location has more complaints in absolute terms, while the first has a higher share. Neither number tells you the proportion of all customers affected.

Use the same topic definitions across locations. Account for differences in service mix, opening hours and seasonal demand before creating league tables. New reviews and recent themes often reveal more useful change than an all-time average rating alone.

Use the same topic and sentiment definitions across locations. For consistent replies without sounding scripted, share the four-part structure for a negative review response with local owners.

Run a weekly review that ends with ownership

  1. Clear urgent items: check overdue replies and sensitive issues first.
  2. Look for patterns: compare recurring complaints and strengths across comparable periods.
  3. Choose a few actions: select changes with clear evidence and a practical owner.
  4. Set a check-in date: record how you will verify that the process changed.
  5. Review last week’s actions: close completed work or explain what is blocking it.

Suppose two branches receive repeated feedback about unclear estimates. A shared quotation template may be the right action. If the problem is concentrated at one branch, first inspect its local process rather than changing the whole business.

Make employee recognition accurate

Positive employee mentions can reveal behaviours worth sharing: explaining the process clearly, arriving prepared or handling a concern well. Count explicit mentions and keep the relevant sentence available for context.

A name appearing in a negative review does not prove that the employee caused the problem. Separate sentiment directly attached to the person from sentiment about the wider experience. Avoid treating a small, self-selected review sample as an employee performance score.

Start small, then automate the repetitive work

For a few locations, a shared queue and a weekly meeting can establish the process. As review volume grows, software can help collect feedback, suggest drafts and surface themes. Keep owners, permissions and approval rules explicit when adding automation.

Kīrtelo is being developed for Google review management and customer insights, including planned multi-location views. Integration testing is still underway; registering interest does not connect a profile or create a product account.

Common questions

What metrics should a multi-location team track?

Start with new review count, average rating for a stated period, unanswered reviews, time to first response, recurring complaint share and open follow-up actions. Show the sample size and avoid presenting review feedback as a census of all customers.

Should every location use identical replies?

Use consistent standards, but personalise the reply to the customer’s concern and the local facts. Identical replies can miss the specific issue and promise actions a location cannot deliver.

Official guidance

Written by the Kīrtelo team. Workflows and examples are editorial suggestions, not Google requirements or verified product outcomes.