The Yext alternative, focused on Google Business Profile.

Where Yext fits, and where Mapgrid fits

Yext built its business on the knowledge graph: one structured record of your brand's entities, synchronized outward to a large publisher network, and increasingly positioned as a search platform that also powers site search, pages and answers. For a global enterprise with hundreds of internal stakeholders and a mandate to control every surface, that model is coherent and well supported.

Mapgrid is deliberately narrower and cheaper to operate. It is a Google Business Profile control plane: a bulk editor, a review inbox, sync jobs, analytics and an agent-callable API for the one channel where physical retail actually gets found. There is no knowledge graph to model, no publisher network to license, and no implementation project before the first useful change.

The honest test is what your bottleneck is. If your problem is that your data is inconsistent across dozens of publishers and internal systems, Yext is built for that. If your problem is that changing hours on 600 Google listings takes a week and nobody can tell you which stores are unverified today, Mapgrid solves that in an afternoon.

Time to first value: minutes instead of a quarter

Enterprise listings platforms usually arrive with an onboarding engagement: entity modelling, field mapping, taxonomy decisions, publisher submission cycles. That work has real value at scale, but it also means the first measurable improvement is often a quarter away.

Mapgrid's onboarding is an OAuth grant. You sign in with the Google account that already manages your profiles, and every location you have access to imports automatically — names, addresses, categories, hours, verification state, reviews and photos. No CSV template, no field mapping workshop, no data-quality prerequisite.

From there the first useful action is usually the NAP audit, because it immediately surfaces the gap between what your team believes is published and what Google actually serves. Teams routinely find stale phone numbers, duplicated suites and forgotten holiday hours in the first hour, which is the fastest possible argument for the tool.

• OAuth sign-in imports every location you already manage
• Large networks (500+ profiles) import through a resumable job
• Verification state, categories and hours arrive fully populated
• No entity modelling or taxonomy project required

Depth on Google instead of breadth across publishers

Because Mapgrid only has to be excellent at one API, it can expose parts of Google Business Profile that generalist platforms abstract away. Attributes are edited with the real per-category attribute set Google returns for that location, not a lowest-common-denominator field list. Services, opening date, store codes, labels, special hours and more-hours types are all editable in bulk.

The same applies to media: Mapgrid works with Google's media endpoints for cover photos, logos, interior and team categories, and surfaces customer-uploaded media separately so you can monitor what visitors are adding to your profiles. Posts support scheduling, so a campaign can be queued across a whole region and published on the right day.

Performance data follows the same principle. Mapgrid pulls the Business Profile Performance metrics — searches, views, calls, direction requests, website clicks — caches them server-side, and aggregates them across your whole network with comparison periods, so you can answer 'which region is losing visibility' without exporting anything.

Review operations built for volume

Reviews are where most multi-location teams lose hours every week. Mapgrid centralizes every Google review into one inbox with filters for rating, brand, location and reply state, plus full-text search. AI drafts each reply in a tone preset you define per brand, and an operator approves, edits or rejects it before anything reaches the public.

For high-volume weeks, batch mode lets a reviewer move through a filtered queue — say, every four-star review in one region — approving drafts in sequence rather than opening each profile. Every published reply is written through the official API under your own OAuth token, and the full history stays searchable for audits.

Because replies publish as your business rather than through a vendor intermediary, there is no migration risk: your response history lives on Google, not inside a platform you would have to negotiate an export from.

Commercial model: published prices, monthly cancellation

Yext is typically sold as an annual or multi-year subscription, often bundled by product line and quoted per entity after a discovery call. That is standard for enterprise software, and it is the right shape for organizations that want committed support and contractual guarantees.

Mapgrid publishes per-location tiers openly and bills against your active location count, with no minimum term, no implementation fee and no per-seat surcharge for the people who only reply to reviews. Cancel and your data stops syncing; nothing you published to Google is taken away.

For agencies this matters twice over, because client rosters change. Adding a 40-location client next month and removing a 12-location one the month after is a billing detail, not a contract amendment.

An API surface AI agents can actually call

Mapgrid exposes an OAuth-secured MCP endpoint, which means AI assistants can query your local data as a tool rather than through screen scraping or a bespoke integration. Ask an agent for the ten locations with the largest month-over-month drop in direction requests and it can read the answer straight from your workspace.

Access inherits your seat's role and rate limits, so the agent sees exactly what the human authorizing it can see — never another tenant's data. Tools are read-only by default, which makes it safe to point a general-purpose assistant at production data for reporting and analysis.

This is the piece that tends to decide the evaluation for technical teams: a platform whose data you can pipe into your own agents without waiting for a vendor integration roadmap.

Governance, roles and multi-brand structures

Large networks rarely have one owner. Franchise groups have franchisees who legally control their own listing, agencies have client boundaries to respect, and retail groups often run several brands under one holding with different marketing teams.

Mapgrid models this with workspaces, roles and brand-scoped filtering. A workspace owner invites team members with roles that separate viewing, drafting and publishing, so a store manager can prepare a review reply while the brand team keeps final publishing rights. Every write is attributable, and bulk jobs record who launched them.

For agencies the same structure works per client, and billing follows active locations rather than seats, so adding a reviewer costs nothing. Where a group runs multiple brands, filters and saved views keep each brand's operators inside their own slice while a holding-level analyst still sees the consolidated performance picture.

• Workspaces with role separation for view, draft and publish
• Attributable writes and job history for audits
• Brand and region filters that scope day-to-day work
• Location-based billing, so extra reviewers are free