Connect Google My Business to ChatGPT

Multi-Client Local Presence Health Scan

Using the Catchr MCP, pull Google My Business data for [List of Client Accounts or Locations] over [Period] and compare it with [Comparison Period]. For each client, summarize Impression on Google Search on Mobile, Impression on Google Search on Desktop, Impression on Google Maps on Mobile, Impression on Google Maps on Desktop, Website visits, Phone calls, Directions requests, Total Review Count, and Average Rating Review. Evaluate results against [Client Targets or Historical Baseline], label each client Healthy, Watch, or Critical, explain the main evidence behind every Watch or Critical label, and rank the accounts the consultant should investigate today.

Client Local Visibility and Action Brief

Using the Catchr MCP, analyze Google My Business performance for [Client Account Name/ID] across [List of Locations] over [Period] versus [Comparison Period]. Break visibility down by Location name and the four confirmed Search and Maps impression metrics for mobile and desktop, then report Website visits, Phone calls, Directions requests, Bookings, and Conversations where available. Use Search terms and Search terms Impression to identify the queries driving discovery. Produce a client-ready brief covering the strongest locations, the locations losing visibility or actions, the search-demand shifts behind the changes, and one specific local-profile or content action for each priority location.

Portfolio Review Response Risk Queue

Using the Catchr MCP, review Google My Business reviews for [List of Client Accounts or Locations] created during [Period]. Use Location name, Review ID, Review Created Time, Star Rating, Text review, Reply Text, Average Rating Review, and Total Review Count to find new low-rated reviews, recurring complaint themes, and reviews with no reply. Rank the issues by urgency using rating, recency, repetition, and missing-response status; show the affected client and location, quote only a short relevant excerpt from each review, recommend an operational follow-up, and draft a concise personalized reply for client approval without publishing it.

Morning Local Client Priority Queue

Using the Catchr MCP, pull Google My Business performance for [List of Client Accounts or Locations] over [Recent Period] and compare it with [Baseline Period]. Review Search and Maps impressions by mobile and desktop, Website visits, Phone calls, Directions requests, Average Rating Review, Total Review Count, and newly created reviews. Flag material visibility or action declines, new reviews rated [Rating Threshold, e.g., 3 stars] or below, and unanswered reviews; then give me a ranked morning queue with the affected client, evidence, urgency, and the first action I should take today.

Monthly Local Performance Report

Using the Catchr MCP, pull Google My Business data for [Client Account Name/ID] across [List of Locations] for [Reporting Period] and [Previous Period]. Summarize Search and Maps impressions by device, Website visits, Phone calls, Directions requests, Bookings, Conversations, Average Rating Review, and Total Review Count where available; highlight the most important differences by Location name and use Search terms Impression to explain meaningful discovery changes. Write a concise client-ready report in plain English covering wins, declines, customer-feedback themes, likely causes supported by the data, work priorities, and three measurable goals for [Next Period].

Review Reply and Service Recovery Backlog

Using the Catchr MCP, retrieve Google My Business reviews for [Client Account Name/ID or List of Locations] created during [Period]. Use Review ID, Location name, Review Created Time, Star Rating, Text review, Reply Text, and Reply Updated Time to separate unanswered reviews from answered ones and group recurring topics such as product quality, availability, delivery, staff, or location experience. Build a backlog prioritized by rating, recency, and business risk; for each item, provide a short reply draft in [Brand Tone], the internal issue to verify with the client, and a follow-up action, without posting or modifying any review response.

Local Discovery-to-Commerce Funnel

Using the Catchr MCP, pull Google My Business data for [Brand Account Name/ID] and [List of Store Locations] over [Period], compared with [Comparison Period]. Build a local discovery-to-commerce funnel from the four Search and Maps impression metrics to Website visits, Phone calls, Directions requests, Bookings, Food Menu Clicks, and Food Orders where those metrics apply. Calculate action rates using total impressions as the denominator, rank locations by both volume and rate, flag the biggest leaks, and recommend three specific actions to improve the transition from local discovery to an online or store conversion without treating profile actions as completed sales.

Local Search Demand Merchandising Planner

Using the Catchr MCP, analyze Search terms and Search terms Impression for [Brand Account Name/ID or List of Locations] over [Period] versus [Comparison Period]. Group terms into [Product Categories, Brand Terms, Local-Intent Terms, and Other Themes], identify rising, declining, seasonal, and location-specific demand, and connect each theme to Location name, Primary Category, Website visits, Directions requests, and Phone calls where available. Return a prioritized merchandising plan showing which products, offers, landing pages, or profile content to feature for each location, with the supporting query trend and the metric to monitor next.

Store Reputation Conversion Opportunity Map

Using the Catchr MCP, compare Google My Business reputation and customer actions across [List of Store Locations] for [Period]. For each Location name, report Average Rating Review, Total Review Count, the distribution of Star Rating from individual reviews, Website visits, Phone calls, Directions requests, Bookings, and Conversations where available. Identify locations with strong visibility but weak reputation, strong reputation but low action volume, or repeated product and service themes in Text review; then create a location-level opportunity map with the likely friction supported by the data, a recommended owner, and one measurable action to test during [Next Period].

Local Profile Data Integrity Audit

Using the Catchr MCP, audit Google My Business data for [Account Name/ID or All Connected Accounts] over [Period]. Check completeness and uniqueness for Account ID, Location name, Store Code, Place ID, Primary Category, Website URL, Maps URL, Primary phone, Date, Review ID, and Search terms; check that impression, Website visits, Phone calls, Directions requests, Total Review Count, and Average Rating Review values are non-negative and that ratings remain between 1 and 5. Flag duplicate identifiers, missing location keys, inconsistent profile attributes, impossible values, and unexplained date gaps, and return an exception table with account, location, failed rule, observed value, severity, and recommended validation step.

Local Visibility and Action Outlier Monitor

Using the Catchr MCP, pull at least [Lookback Period, e.g., 90 days] of Google My Business data for [Account Name/ID or All Connected Accounts], grouped by Date and Location name. Monitor the four Search and Maps impression metrics, Website visits, Phone calls, Directions requests, Bookings, and Conversations where available. Compare every daily value and action-per-impression rate with its trailing [Baseline Window, e.g., 28-day] mean and standard deviation, flag deviations beyond [Z-score Threshold], and classify each outlier as likely data-quality, tracking coverage, seasonality, location-specific demand, or genuine performance change, with the evidence and next validation query.

Cross-Location Search and Action Benchmark

Using the Catchr MCP, analyze Google My Business data for [Account Name/ID or Location Portfolio] over [Period]. Group locations by [Primary Category, Locality, Region, or Custom Market Mapping], aggregate the four Search and Maps impression metrics, Search terms Impression, Website visits, Phone calls, Directions requests, Average Rating Review, and Total Review Count, and calculate action-per-impression rates for groups with sufficient volume [Minimum Volume]. Identify statistically meaningful high and low performers, control the comparison for location scale using normalized rates and peer-group percentiles, and deliver a benchmark table plus the locations and data questions that deserve deeper investigation without claiming causation from correlation.

Replace [variables] Facts ≠ hypotheses Action + follow-up metric

Connect Google My Business to ChatGPT

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How to connect Google My Business to ChatGPT ?

Authorize the Google My Business account in Catchr

Add the Catchr MCP from official ChatGPT store

Choose, adapt, and run a prompt.

A simple client question should not trigger an hour of data prep.

Pull another CSV

Rebuild the context

Summarize it by hand

Ask the account. Get to the explanation.

Prepare data before every question.

Connect once. Keep asking.

Twelve Google My Business prompts for analyzing real account data.

Google My Business to ChatGPT FAQs

What Google My Business data can ChatGPT analyze through Catchr?

How granular can Google My Business analysis be in ChatGPT?

Can ChatGPT compare local visibility and customer actions in Google My Business?

Can ChatGPT identify location-level growth or reputation opportunities in Google My Business?

What types of prompts work best for Google My Business analysis?

Can I combine Google My Business with other data sources in ChatGPT?

Can I analyze multiple business locations together?

What do I need to connect Google My Business to ChatGPT with Catchr?

How recent is the Google My Business data, and how much history can I analyze?

Can ChatGPT change anything in Google My Business through Catchr?

How much does it cost to connect marketing data to ChatGPT with Catchr?

‍Can I try the ChatGPT integration before choosing a plan?

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