Agent Layer · Built on MCP
The Agent Layer for location operations.
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AgentLayerPage.hero.techNote Technical reference.
The gap
Dashboards show the data. Teams still need to ask, decide, act, and prove.
Local businesses and multi-location teams do not need a protocol lesson. They need reliable answers and safe action across hundreds of locations and thousands of decisions every quarter.
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Which location needs attention first. Why did this place drop. What is the network telling us this week.
Approved corrections, replies, posts, and updates. With audit, governance, and confirmation.
Did you know you can ask
Ask the questions your team would actually ask in a meeting.
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Which location needs attention first this week?
Why did this location drop in discoverability?
What are customers repeatedly complaining about?
Which reviews need a response today?
What proof should go into next month's customer report?
Which locations have missing or conflicting business truth?
Which keywords, categories, hours, or attributes look incomplete?
What changed across reputation, sentiment, platforms, and topics?
What it can help execute
Approved actions, end to end, with governance preserved.
Execution is guarded. Approved actions require authentication, permissions, and confirmation. Nothing bypasses your existing controls.
Hours
Update business hours when published times drift from operating reality.
Contact details
Correct phone numbers, addresses, and contact details across connected destinations.
Descriptions
Improve short and long descriptions in each location's brand voice.
Keywords
Add or remove keywords to match how customers actually search for what you do.
Categories and services
Update categories, services, brands, or menu information where the destination supports it.
Reviews
Draft and reply to reviews after approval, in the brand voice configured per location.
Social links
Update social links and the operating profile so connected destinations stay current.
Location posts
Create a location post once the message is approved by the right human.
One conversation
Audit. Fix. Reply. Approve. All in one place.
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Approved AI assistant
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Your AI Talks to Our AI
Simulated conversation. Actual responses depend on your connected network data.
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The causality chain
Five questions, one operating loop.
A metric is never the answer. The relationship between metrics is the answer.
The same loop your team already runs informally, made queryable and auditable.
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What is happening?
Surface the locations, reviews, and topics that moved this week.
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Why is it happening?
Drill into sentiment patterns, drifted business truth, and discoverability signals.
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What should we fix first?
Rank the next actions by impact and reversibility, not by where they appear in the dashboard.
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Can we execute that safely?
Authenticate, scope, confirm, then execute through the same approval workflow your team already uses.
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What proof should we check next month?
Define the proof markers. The Agent Layer comes back and verifies them on cadence.
Trust and boundaries
It earns the access it asks for.
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Authentication is required
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Permissions are enforced
An approved AI assistant sees only what the connected user is permitted to see. No quiet escalation.
Write actions require confirmation
Any tool that changes state is confirmation gated and runs inside the same approval workflow as the dashboard.
No broad customer availability today
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Technical reference is the Docs page
The public site explains the why and the what. The Docs page covers the how. The Agent Layer page does not host setup instructions.
Account switching needs explicit approval
Agency users can pivot between customer accounts only after explicit approval. The active account is always shown.
Connect your operating loop
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Talk to us about the Agent Layer. We set it up with you.