The operating system for multi-location networks. Every review, message, or report becomes a case with an owner, a severity, and a clock, and the handoff is on the record. Underneath, the presence and reputation of every Location, governed from one place.
Built alongside the industry's leaders.
Why teams choose Mapboard
As the network grows, information fragments: every team, agency, and platform sees a different version, and no one has the full picture. Mapboard brings it all into one operational layer and gives headquarters back the control, consistency, and visibility to run every Location with confidence.
Mapboard gives corporate teams the control, visibility, and automation to run every Location from one place.
One platform. Total control.
All your Locations in sync
Atlético Café
ATC01
Río Amazonas 189-105, San Pedro Garza García, N.L., MX
Atlético Nakameguro
ATC022-44-10 Kamimeguro, Meguro City, Tokyo, JP
Atlético East Village
ATC03112 St Marks Pl, East Village, New York, NY, US
Atlético Tuileries
ATC0418 Rue Saint-Roch, 1er arr., Paris, FR
your local presence
Critical issue detected
08:42
Atlético Tuileries
Grab & GoPickup orders are marked as ready too early, causing 10–15 min waits during peak hours.
3 reviews · High priority
Automatically assigned
08:42
Mariana Torres
Status: Notified
Mark as solvedoperational incidents
Opportunity
08:42
Atlético East Village
Restaurant
4.8
East Village, New YorkPublish a weekend brunch post to outperform 82% of nearby competitors
3 km radius · similar industry
local performance
Atlético Nakameguro
Bakery4.8Nakameguro, Tokyo
4 automated workflows
Daily
Auto-reply new positive reviews.
Notify managers when an incident goes beyond 24h.
Weekly
Publish weekly Google Posts
Send weekly report to@diegoAdd workflowrepetitive work
Customers decide on the map, before they walk in. But as the network grows, each Location's information fragments across teams, agencies, and platforms, and nobody holds the good version. This is the floor everything else stands on: to say anything about store 47, you first have to know which listing store 47 is.
One source feeds both the map and your own site. Fix it once and it's fixed in both places, with a record of what was published and when.
See how it works in detailOne version of every Location: address, hours, services, photos, and attributes. 300+ fields that stop living in a spreadsheet last edited eight months ago.
The change goes out to Google and Meta from one place, with publish status per Location, and the full network exports for Waze.
After publishing, Mapboard reads the platform back and confirms. A change isn't done until it's been checked.
Daily checks on every listing: duplicates, unverified, suspended, closed, or edited by someone who isn't you.
Your public store directory, on your own domain, with an indexable page per store fed by the same data you publish to Google.
A network averaging 4.0 has Locations sitting at 2.5. The average is the number that goes up the chain; the spread is what the customer found after walking into the wrong store. Mapboard doesn't roll your network into a score. It shows you which Location is slipping.
No reputation tool answers the question that comes next: how does headquarters find out a Location is slipping, before it shows up in the average?
See how it works in detailReviews from across the network in one inbox and in real time, alongside public comments and the messages your brand receives.
Every review classified by topic and severity, so a Location's pattern becomes visible instead of one loose complaint.
AI-assisted replies that your team edits and approves before publishing. What goes out is what a person signed off on.
Each Location against its real peers, same format and same area, and against the competitors that opened on its own block.
And when a review stops being an opinion and becomes a problem, it stops being reputation and turns into a case with an owner.
In a large network the complaint always arrives through the brand: a review, a message, a phone call. But whoever can fix it is 400 miles away, on a store floor. That handoff is done by hand today, with no acknowledgment and no record, and when something doesn't get passed along, nobody can prove that it did.
Every step is on the record: who received it, at what time, and what was done. When someone asks why the report never got passed along, the answer is a case file, not a memory.
See how it works in detailA Google review, a public comment, a direct message, or the report from whoever answered the phone. It all lands in one place, attached to the Location where it happened.
AI proposes severity and category, and your team approves before the case opens. Nothing opens blindly.
The case looks for its owner: the manager of that Location, or the area manager if there isn't one. With a case number, a severity, and an SLA clock running.
An email goes out to the owner, whether or not they have a Mapboard account. Reply to that email and the reply lands in the case file.
Closing requires a written summary and dated evidence. And the system tells apart what someone said they fixed from what was verified at the Location.
Every vertical calls its locations something different, and different things hurt. Here's how Mapboard runs yours.
24-hour schedules, in-store clinics, and health services, correct on every platform.
See how it worksEach station's brand, access, and attributes, set right where the driver decides.
See how it worksATM, parcel pickup, services, and alcohol sale hours, store by store, at scale.
See how it worksBranches and thousands of ATMs, governed as one network on the map.
See how it worksFrom a critical review to a case with a number, a severity, an owner, a clock, and a log of everything that happened.
Who opened near each Location, how you compare on rating and review volume, and where you rank on your own block.
Every listing precise and organized across your network, with 300+ fields per Location.
The direct messages your brand receives, attached to the Location they're about, so they stop living in one person's inbox.
Monitor reviews across the network, respond faster, and turn criticism into assigned work.
Your data consistent across Google and Meta, with publish status per Location. Network export for Waze.
Publish relevant content to hundreds of Locations in a single action, with scheduling and click tracking.
Organize the network into nested groups by region, area, and format, and operate on the group instead of the list.
Analyzes, prioritizes, and proposes. Your team reviews and approves before anything is published or opened.
Update thousands of records in minutes via Excel, with a preview of the changes before applying them.
Daily checks on every listing: duplicates, unverified, suspended, closed, or edited by someone else.
Your Location finder on your own domain, with an indexable page per store, fed by the same data you publish to Google.
A national pharmacy network runs every one of its Locations here: one version of each listing, published from one place and verified after publishing.
Farmacias Benavides
On enterprise-grade architecture, with AI at its core, to automate today's operation without promising horizons that aren't built yet.
One change across the whole network or a group, with per-location publish status: verified, not assumed.
The operating system for multi-location networks: it collects what customers report about each Location, turns it into work with an owner, and keeps every Location's presence and reputation governed from one platform.
For chains, franchises, and networks running dozens to thousands of Locations (pharmacies, gas stations, convenience stores, banking, and more), where the complaint arrives through the brand and the failure happened hundreds of miles away.
A case is a customer experience attached to a Location. It opens from a review, a public comment, a message, or captured by hand by whoever answered the phone or the counter. AI proposes severity and category, and your team approves before it opens.
The case is assigned down the chain of responsibility: the manager of that Location, or the area manager if there isn't one. They get an email whether or not they have a Mapboard account, and if they reply to that email, the reply lands in the case file.
Closing a case requires a written summary, and photo evidence is stored with its capture date. The platform explicitly tells apart what someone declared resolved from what was verified at the Location or confirmed by the platform.
That's the idea. The difference from a generic ticketing tool is that here the case is born attached to a real Location, with its listing, its reviews, its history, and its owner, instead of living in a tool that knows nothing about your network.
Cases across the network, reviews and messages, each Location's listing (data, hours, photos, services), listing health, bulk posts, local competition, and the public store directory.
Yes. It keeps the version you declare and syncs it to Google and Meta, then compares it against what each platform shows so the differences become actionable work. For Waze, the full network is exported.
That's what it does. Real networks of hundreds of Locations run on Mapboard, with bulk operations via Excel, nested groups by region and area, and fair comparisons of each Location against its real peers.
AI analyzes, prioritizes, and suggests (case severity, review replies, difference detection), but your team reviews and approves before anything is published or opened. It never acts blindly without human control.
Book a demo. You tell us how your network runs today and we walk you through the platform on a demonstration network, grounded in the cases you describe. Seeing it with your own Locations comes later, during onboarding, which we plan together.
Discover how teams manage every Location from one operational platform.
