How to Use Claude MCP for GBP Locations

Managing multiple Google Business Profile locations gets messy when every answer needs another export, screenshot, or manual check. One client asks which stores lost calls. Another wants a monthly report. A regional manager wants to know which locations have review problems. With the Localith Claude MCP connector, Claude can ask Localith for approved location, metric, and review data so you can analyze multiple profiles without pasting spreadsheets into every chat.

This guide shows the practical workflow: how to connect Localith to Claude, what to check first, which prompts to use, what Claude can return, and where to act inside Localith after you find an issue.

Localith is the data layer Claude reads from. Connect your Google Business Profile locations to Localith first, then ask Claude for summaries, reports, and action plans across every location.

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What This Claude MCP Workflow Lets You Do

Think of Localith as the Google Business Profile data layer and Claude as the analysis workspace.

Localith keeps your connected locations, reviews, performance metrics, and reporting workflows in one system. Claude uses the read-only MCP connector to ask for the data it needs, then helps you turn that data into summaries, reports, tables, and action plans.

You can use this workflow to:

• list all Google Business Profile locations Claude can access
• compare performance across multiple locations
• find locations with weak calls, clicks, or direction requests
• create client-ready monthly GBP reports
• scan reviews for rating drops, unanswered reviews, and repeated negative themes
• prepare for client meetings
• build a 30-day action plan for weak locations
• ask follow-up questions before making assumptions

The read-only part matters. Claude can analyze approved Localith data through the connector, but it cannot edit listings, reply to reviews, change hours, update categories, upload photos, or change profile settings. That boundary makes it useful for reporting and planning without giving an AI assistant control over live Google Business Profiles.

Before You Start

Before connecting Localith to Claude, make sure you have the right account access and a clear first use case.

You need:

• an active paid Localith account
• at least one connected Google Business Profile location in Localith
• a Claude plan that supports connectors according to your account settings
• permission to access the client or location data you want to analyze
• a reporting period, client group, or location group to test with

Localith’s current Claude connector docs list Claude Pro, Max, Team, or Enterprise as required for this workflow. Anthropic’s broader remote MCP documentation notes that custom connectors are in beta and may vary by plan or interface, so check your current Claude settings before connecting.

Step 1: Connect Localith to Claude

You can connect Localith to Claude in two ways: from the Claude connector directory, or as a custom connector.

Anthropic’s documentation for remote MCP connectors explains that Claude connects to remote MCP servers from Anthropic’s cloud infrastructure. That means the connector runs through a remote server URL, not a local file on your computer. Use trusted connectors only, and disconnect them from Claude settings if access should be revoked.

Option 1: Connect from the Claude directory (coming soon)

Use this path if Localith appears in Claude’s connector directory.

1. Go to claude.ai/settings/connectors.
2. Search for Localith.
3. Click Connect.
4. Sign in with your Localith account.
5. Review and approve the requested permissions.
6. Return to Claude and confirm Localith appears in your active connectors.

Option 2: Add Localith as a custom connector

Use this path if Localith does not appear in the directory or you need to connect it manually.

1. Go to claude.ai/settings/connectors.
2. Click Add custom connector.

3. Enter these fields:

4. Click Save.
5. Complete the OAuth sign-in flow.
6. Review and approve the requested permissions.

Because connectors and remote MCP support are still changing across AI platforms, use the Localith docs as the source for Localith-specific fields and Anthropic’s official connector documentation for the current Claude connector interface.

Step 2: Confirm Claude Can See Your Localith Tools

Once Localith is connected, start with a low-risk test. Do not ask Claude to write a report yet. First, confirm that it can see your connected locations.

Use this prompt:

Expected output:

• a table of connected locations
• location names
• addresses, where available
• any available location IDs
• no profile changes

The Localith Claude MCP connector exposes six read-only tools:

You do not need to name the exact tool in every prompt. Claude can call the relevant tool behind the scenes. Still, knowing the tool list helps you write better questions. If the connector can retrieve locations, metrics, review metrics, and reviews, your prompts should ask for those things directly.

Step 3: Ask Claude for a Multi-Location Performance Summary

After the location inventory works, ask Claude for a broad performance summary.

Use this prompt:

Expected output:

• account-level performance summary
• total calls, clicks, direction requests, and impressions where available
• top improving locations
• locations that need attention
• recommendations separated from confirmed data

This prompt is useful because it forces Claude to separate facts from recommendations. That matters in Google Business Profile reporting. A metric can move for many reasons: seasonality, store hours, local demand, review changes, campaigns, operational issues, or data availability. Claude should not invent causes. It should tell you what the data shows and what to check next.

You can follow up with:

Or:

Use these follow-ups when you want to find outliers before building a report.

Step 4: Create a Client-Ready Monthly GBP Report

Claude is especially useful when you need a written report from Localith data. Localith remains the source of truth. Claude turns the data into a readable summary.

Use this prompt:

Expected output:

• executive summary
• key metric changes
• location outliers
• review highlights
• next actions
• plain-language explanation

Use this when you want a first draft for a client email, monthly report, or meeting notes. If you need a shareable file, use Localith report exports for PDF or CSV reporting. Claude is best for the narrative layer: explaining what happened and what to discuss.

A stronger version for agencies:

If your client prefers a short update:

Step 5: Find Review Risks Across Locations

Review problems often hide inside multi-location accounts. One location may have a small number of reviews but a serious negative theme. Another may have a good average rating but a growing unanswered review queue.

Use Claude to scan for risks before the client asks.

Prompt:

Expected output:

• prioritized review risk table
• location name
• risk type
• example theme
• recommended follow-up

Use a second prompt to group review themes:

Expected output:

• grouped review themes
• locations connected to each theme
• notes on which issues appear repeated
• recommended internal follow-up

If a review needs a response workflow, move from analysis back into Localith. The AI Review Reply Agent helps teams manage reply work at scale, with brand-consistent replies and review workflows across locations.

Claude can help you understand the risk. Localith is where your team should manage the response process.

Step 6: Build a 30-Day Action Plan for Weak Locations

Once Claude finds weak locations, ask it to turn the findings into a plan.

Prompt:

Expected output:

• list of weakest locations
• specific action items
• reason for each action
• category for each action
• suggested priority

Then ask Claude to map each action back to Localith:

Expected output:

• location
• recommended Localith area to inspect
• reason
• next step

Use listings management when Claude flags missing or inconsistent business information. Use the AI SEO Agent when the issue is local visibility, optimization gaps, or next-step recommendations.

Claude should help organize the work. Localith is where your team confirms and acts.

Step 7: Use Account-Manager Follow-Up Prompts

The best Claude prompts often sound like questions an account manager would ask before a client call.

Use these when you need quick analysis.

Use this to find locations people are seeing but not acting on.

Use this to find reputation issues that may be hidden by review volume.

Use this before a recurring account call.

Use this when you need a meeting prep brief.

Use this for leadership reporting.

Use this when performance changed but the cause is not obvious.

Use this for reputation workflows.

Use this for location benchmarking.

Use this for client communication.

Need More From Claude? Editing, Publishing, and Custom Tools

Today, the Localith Claude MCP connector is read-only. Through the default connector Claude can analyze, summarize, and plan, but it cannot change anything on your Google Business Profiles.

Through this connector Claude cannot:

• edit listing names, addresses, phone numbers, categories, or hours
• reply to Google reviews
• publish Google Posts
• upload photos
• change profile settings
• approve profile changes
• know the cause of a metric change unless the data supports it

For teams that want Claude to do more than read, the path is the Localith Google Business Profile API. With API access you can build your own tools inside Claude, or any AI environment that supports custom tools and MCP, for editing business info, bulk updates, publishing Google Posts, submitting review replies, and any other workflow your team needs. Start with the API access doc for authentication and the endpoint reference, and the GBP API guide for agency workflows.

Want a specific workflow added to the default Localith connector? Tell us. Contact support and we will route the request to the connector roadmap.

When Claude flags an issue in the read-only flow, go back to Localith to inspect and act. Use the Performance Dashboard for metrics, report exports for shareable files, Listings Management for profile data, review workflows for replies, and AI SEO Agent for optimization guidance.

What About ChatGPT?

You can adapt the same prompt logic for ChatGPT if your plan and workspace support custom MCP connectors or developer mode.

OpenAI’s developer mode documentation says ChatGPT can work with custom MCP connectors in supported plans and workspaces. OpenAI’s connector help also notes that MCP connector access can depend on plan, developer mode, admin permissions, and whether the connector meets technical requirements.

So keep this section simple:

• The prompts can be adapted for ChatGPT.
• The setup is not the same as Claude.
• ChatGPT MCP access may require developer mode or workspace admin approval.
• Use the Localith Google Business Profile API tool page for broader API and connector workflows.

Do not promise that every reader can add Localith to ChatGPT today. Check connector support in your current plan first.

Start With One Safe Prompt

The easiest way to start is not a full report. Start by asking Claude to list the locations it can access through Localith.

If that works, move to a performance summary. Then a report. Then review risks. Then a 30-day action plan.

That sequence keeps the workflow controlled: you trust each answer before asking for a bigger one.

When you are ready, connect the Claude MCP connector and use Localith as the source for multi-location GBP reporting. If you are still setting up your Localith account, review Localith pricing and start with the location set you want to analyze first.