To connect Google Business Profile to ChatGPT:
- Sign up free at portermetrics.com and connect your Google Business Profile account with your Google account.
- In ChatGPT, click + → Connectors → Manage connectors → Add custom connector, name it Porter, paste
https://mcp.portermetrics.com/mcp, then click Add and authenticate with Google.
That’s it, you’re connected. Porter’s free plan covers up to 3 Google Business Profile locations with no usage limits on ChatGPT’s free plan. No credit card required.
What makes Porter different:
- Read + write, safely. Porter’s MCP lets you respond to reviews, update location details, create local posts, and upload photos from inside ChatGPT, through deterministic code components. Nothing hallucinates, and built-in rate limiting keeps your locations safe from API throttling.
- 145+ Google Business Profile metrics and dimensions across every reporting level in one connection.
- Universal Google Business Profile MCP. Blend GBP with Google Ads, GA4, Shopify, HubSpot and 20+ more sources in one chat. Build white-label client dashboards, track competitor local listings, and run automated review alerts. Your whole local SEO operation runs from one chat.
Prerequisites
- A Porter Metrics account with your Google Business Profile account connected (free tier is enough to try it end-to-end)
- A ChatGPT account — the free plan works for ChatGPT Web; a Pro subscription is needed for Codex and Desktop MCP features
- Admin or standard access to the Google Business Profile locations you want to connect
Connect Google Business Profile to ChatGPT with MCP
For this tutorial we’re going with the MCP method. Here’s a quick explainer of what MCP is and why it’s the best path for Google Business Profile.
MCP (Model Context Protocol) is the open standard that lets AI tools like Claude, ChatGPT, Codex and others access and use external APIs — the things that make tools like Google Business Profile work under the hood. Instead of building a custom integration for every AI tool you use, you install one MCP and every compatible AI gets access to the same data.
The full setup takes under 5 minutes and breaks into three moves: connect Google Business Profile to Porter, point ChatGPT at the Porter MCP, and ask your first question.
1. Connect your Google Business Profile data to Porter
Porter sits between Google’s Google Business Profile API and ChatGPT. It handles OAuth, rate limiting, pagination and all the plumbing so ChatGPT only ever sees clean, structured data.
Sign up for Porter. Create a free account at portermetrics.com. The free tier is enough to run this full workflow end-to-end.
Connect your Google account. In Porter, click Create → pick ChatGPT as the destination → select Google Business Profile as the source → sign in with Google to grant access to your locations.
Select your locations. Choose the Google Business Profile locations you want ChatGPT to query. When you select multiple locations under a single connection, Porter automatically blends their data together so you can query them as one.
Optional: enable automatic BigQuery storage if you’re connecting multiple locations with large data volumes. This keeps ChatGPT’s responses fast even at scale.
2. Connect the MCP to ChatGPT
Porter’s MCP URL is what you paste into ChatGPT. Once added, ChatGPT can query Google Business Profile data on demand in any conversation.
Go to chatgpt.com and click the + icon in the chat input to open the tools menu.
In the menu that opens, hover over Connectors and click Manage connectors.
In the Connectors panel, click the + button at the top of the list to start adding a new connector.
Pick Add custom connector from the dropdown that appears.
A dialog opens with the name and URL fields. Type Porter in the first field to name the connector.
In the second field, paste https://mcp.portermetrics.com/mcp. Leave the advanced settings alone.
Click Add at the bottom right of the dialog. ChatGPT opens a sign-in window — use the same Google account linked to your Porter workspace and approve access.
Once the authorization finishes, you’ll see Porter’s tools appear in the connectors panel. You’re ready to start asking questions (and, for connectors that support it, running actions).
For a fuller walkthrough with screenshots at every step, see the Porter MCP tutorial.
3. Start building questions and dashboards
With Porter connected, open a new ChatGPT chat and ask anything about your Google Business Profile in plain English. ChatGPT calls Porter behind the scenes, pulls live data from Google, and answers with tables, charts, or summaries.
Try one of these to verify the setup is working:
For a full catalogue of copy-paste prompts organized by use case (performance, review management, local posts, agency, e-commerce, cross-channel), jump to the prompts section below.
Alternative ways to connect Google Business Profile to ChatGPT
Porter MCP is the path we just walked through and the one we recommend for most marketers. It is not the only way to get Google Business Profile data in front of ChatGPT, though. The most common alternatives are Google Business Profile’s direct API, a live Google Sheets bridge or CSV upload, and BigQuery for scale. Each has trade-offs, so pick the one that fits how your team already works.
- 🔌 Google Business Profile’s direct API — Talk to Google’s Google Business Profile API yourself. Maximum control, but you handle auth, rate limits and pagination — and you only get one source. (Google doesn’t ship an official MCP yet.)
- 📊 Google Sheets — Live Sheet or one-off CSV upload. Auditable, familiar, faster for big exports — but aggregation happens in the Sheet, not the API.
- 🗄️ Google BigQuery — For large locations or agencies running multi-location analysis. BigQuery aggregates; ChatGPT only queries pre-built summaries.
Via the Porter Metrics app in the ChatGPT marketplace
If you’d rather not paste a connector URL, install Porter straight from ChatGPT’s app gallery — it’s the same Porter connection behind the scenes, published as an approved ChatGPT app:
- Open the Porter Metrics app page in ChatGPT (or search “Porter Metrics” in the apps gallery).
- Click Connect and sign in with the same account you use in Porter.
- Authorize it and ask your first Google Business Profile question — same live data as the MCP.
The trade-off to know: the marketplace app only updates after each ChatGPT review cycle, while the MCP updates the moment Porter ships. If you want every new tool and data source immediately, use the MCP; if you want the one-click install and don’t mind waiting for new features, the marketplace app is the shortest path — including write actions through your connected Porter account.
Via Google Business Profile’s direct API
Google does not ship an official MCP for Google Business Profile as of June 2026. The only paths are the legacy Google Business Profile API or community MCP servers like n8n’s, both requiring manual OAuth setup.
If you’re building a product around Google Business Profile — or you’re a developer who’d rather own every layer of the integration — the most direct path is talking to Google’s Google Business Profile API yourself. Whichever route you pick, you still follow Google’s rate limits & quotas. Either way you skip Porter and call Google from your own code, from Codex, or from Google Business Profile’s own connector.
The trade-off to know. Going direct gives you maximum control and the freshest possible data — every endpoint, every parameter, no abstraction layer in between. But you’re now responsible for OAuth flows, refresh tokens, rate limits, pagination, schema changes, and error retries. And critically, you only get one source. The moment you also want Google Ads, GA4 or Shopify in the same conversation, you’re back to building (or stitching together) more integrations.
When this makes sense: engineering teams that need a single source with full control, products that ship Google Business Profile data as a feature (where you own the integration anyway), or one-off scripts where you don’t mind writing the auth and pagination code yourself. For marketers who want to ask questions in plain English and blend Google Business Profile with the rest of their stack in a single conversation, the Porter MCP path is dramatically less work.
Via Google Sheets (live Sheet or manual CSV)
If your team already lives in Google Sheets — or you want a paper trail before ChatGPT touches anything — feed Google Business Profile into a Sheet, then let ChatGPT read the Sheet. You can automate the Google Business Profile → Sheets pipeline with Porter so it refreshes daily, or do one-off CSV exports from Google Business Profile Insights for static analysis.
The trade-off to know. With the MCP path, ChatGPT calls Google’s API directly and Google does the filtering and aggregation on its side — clean and deterministic. With the Sheets path, ChatGPT aggregates inside the Sheet itself, which can introduce hallucinations on totals, averages, and joins when you have thousands of rows. The upside is speed: for very large date ranges or historical analysis, a pre-built Sheet is dramatically faster than live API calls.
When this makes sense: finance teams that want to review numbers before ChatGPT acts on them, agencies already delivering client reports in Sheets, historical analysis across years of data, or any case where you care more about speed than real-time freshness.
Read the full Sheets tutorial →
Via Google BigQuery (for scale)
This is the path most people overlook — and it’s the one that saves you when your Google Business Profile location gets serious. A single large business or an agency managing 10+ locations will hit API rate limits and latency problems querying ChatGPT directly. ChatGPT will literally tell you it’s taking too long or timing out on big pulls.
BigQuery fixes that. You load Google Business Profile data into BigQuery tables on a schedule, then connect BigQuery to ChatGPT — either through a BigQuery MCP or via Codex with SQL queries. Instead of asking ChatGPT to pull raw Google Business Profile data, you let BigQuery aggregate into small, optimized tables, and ChatGPT only queries the summarized output. Scale problem solved.
When this makes sense: enterprise locations with thousands of locations, agencies running multi-location analysis across 10+ clients, or any team already using BigQuery as a data warehouse. Porter loads Google Business Profile (and 25+ other sources) directly into BigQuery so you don’t have to build your own ETL.
Read the full BigQuery tutorial →
Connecting Google Business Profile to Codex
Most marketers lump ChatGPT and Codex together and miss the biggest advantage of the entire MCP ecosystem. They’re not the same tool — and the difference matters enormously once you start working with Google Business Profile data seriously.
ChatGPT is a chat interface. You ask a question, ChatGPT pulls live data through the MCP, answers, maybe builds a quick dashboard inside the conversation. Great for one-off analysis. The problem: everything is ephemeral. Want to refresh the dashboard tomorrow? You regenerate it from scratch. Want the same report every Monday? You re-ask the question every Monday.
Codex is ChatGPT running inside your computer’s terminal. Because it has access to your filesystem, runtime, and other developer tools, it doesn’t just answer questions — it can build real software. Persistent scripts, scheduled routines, HTML apps, internal dashboards, integrations that run 24/7 without your input. Once it’s connected to Porter’s MCP for Google Business Profile, a whole category of work becomes possible.
What Codex unlocks that ChatGPT alone cannot
This is where the MCP ecosystem pays off most. Because Codex can combine Porter’s MCP with other MCPs — Firecrawl for web scraping, Airtable for structured data, Notion for wikis, Vercel for deployment, Slack and Gmail for delivery — you’re no longer querying data. You’re building tools.
Feed Codex your Google Business Profile targets and goals — review response time goals, post frequency targets, rating thresholds — and ask it to generate a custom local visibility dashboard for each client. It builds the HTML, pulls live data, deploys to a URL. No Data Studio embed to break when the vendor changes pricing, no template constraints. The dashboard updates automatically because it queries Porter’s MCP on every page load.
Best for:agencies that want white-label client dashboards without Looker or Data Studio dependencies.
Combine your own Google Business Profile performance from Porter with competitor GBP listings and review ratings scraped via Firecrawl. Codex stitches both into a weekly competitive intelligence report — your numbers next to their review volume and rating trends, with an LLM summary on top of what changed week over week. Runs on cron, lands in your inbox every Monday morning.
Best for:in-house teams that need market context, not just internal numbers.
Use Airtable or Notion as the schema, Porter as the data source. Codex keeps every page populated with current total reviews, average review rating, and total local posts for every location — no stale screenshots, no copy-paste from Excel. New hires read one wiki entry and have full context on a client’s account.
Best for:agencies and ops teams onboarding analysts or rotating account managers frequently.
A Codex routine on cron pulls Google Business Profile via Porter, evaluates thresholds — average rating drops below 4.0, review response time exceeds 48 hours, no new posts in 7 days — and pushes Slack or Gmail alerts the moment something crosses the line. You stop checking dashboards reactively; the dashboard checks itself and tells you when to look.
Best for:any team that’s ever discovered a problem 48 hours too late because nobody opened the report.
Bottom line: ChatGPT is for quick questions and ad-hoc dashboards. Codex is for building apps, live dashboards, alerts, and actual tools — anything you want to run on its own without re-asking. Same Porter MCP URL works in both, so you don’t pick once and lock in.
Use cases: what you can actually do once Google Business Profile is connected to ChatGPT
These use cases run on real Google Business Profile locations, from review management to client-facing reporting.
1. Manage reviews, posts, and location details from the chat
The biggest shift from a dashboard: ChatGPT does not just read your account, it operates it. Respond to reviews, update location details, create local posts, and upload photos through Porter’s deterministic components, with built-in rate limiting so your locations stay safe. One habit to keep for every prompt that changes the account: ask ChatGPT to show the change and wait for your confirmation.
2. Upload photos and media to your listings
Porter’s MCP supports media.create for Google Business Profile, letting you upload photos and videos directly from ChatGPT. This is ideal for agencies managing visual content across dozens of locations or seasonal campaigns that need fresh imagery.
3. Reporting: questions, dashboards, alerts and client decks
Condenses Q&A + blends (Google Analytics 4, Meta Ads, Google Ads) + alerts Slack/Gmail + decks Gamma/HTML/PDF into hosted dashboards or client decks.
Google Business Profile fields and metrics you can query with ChatGPT
Before you start writing prompts, it helps to know what data is actually available. Porter MCP gives ChatGPT access to 145 Google Business Profile fields and metrics across every reporting level, plus breakdowns by location, date, and review rating. And the same MCP URL also unlocks 25+ other sources — so ChatGPT can blend Google Business Profile with Google Ads, GA4, Shopify, HubSpot and more in a single prompt.
Prompts you can copy-paste today
…organized by job: agencies, SEO/SEM teams, e-commerce teams, and cross-channel blends.
1. For agencies
When you manage 10–200+ locations across clients and need white-label reporting and fast review-response turnaround.
2. For SEO/SEM teams
When you track local ranking signals and correlate them with organic search performance.
3. For e-commerce teams
When you use GBP posts to drive foot traffic to showrooms or sync inventory to listings.
4. Cross-channel
When you blend Google Business Profile with your performance sources for a 360° view.
Limits, safety, and best practices for Google Business Profile via ChatGPT
This is the most common “suspension” story in the GBP ecosystem, and it illustrates a critical distinction: Google Business Profile suspensions are triggered by profile-level policy violations (fake names, address conflicts, prohibited categories) — not by API or MCP usage. Marketers connecting GBP to Claude via the official API are not at risk of account suspension. The real cost of mismanagement is quieter: a marketing team bulk-updating 50 locations via API hits the 10 edits-per-minute hard limit, their sync job fails silently, and review-response automation goes down for 24 hours while they wait for quota reset. The pipeline stalls, not the account.
Google’s enforcement is quota-based and scope-based, not tool-based. Google doesn’t suspend accounts because you used Claude or an MCP server. It throttles or returns 429 errors because of how the API was used: exceeding the 300 requests-per-minute project quota, bursting more than 10 edits per minute per location, or requesting data without the correct OAuth 2.0 scopes. Read-only usage within daily quotas (1,000 requests/day for Business Information API, 500/day for Performance API) is safe. Write at scale without batching, parallel bursts across dozens of locations, or ignoring the 10-edits-per-minute hard cap is not.
The two ways to burn through your Google Business Profile quota
After reviewing official docs and community threads, two patterns come up again and again.
1. Bulk write bursts exceeding 10 edits per minute per location. The My Business Business Information API enforces a hard limit of 10 edits per minute per Google Business Profile — this cannot be increased via quota request. Marketers using Claude to programmatically update hours, posts, or responses across dozens of locations will hit this wall immediately. The API returns 429 RESOURCE_EXHAUSTED and the update queue stalls. What to do instead: batch edits, serialize per-location updates with ≥6-second spacing, and use Porter’s built-in rate-limiting backoff.
2. Ignoring OAuth 2.0 scope requirements and PII exposure. The GBP API requires specific OAuth 2.0 scopes (https://www.googleapis.com/auth/business.manage for write access). Granting overly broad scopes to third-party tools or piping raw customer review data (names, emails, phone numbers from review responses) into Claude without data-processing agreements creates a privacy violation, not an API ban. Under GDPR and CCPA, review responder names and customer PII in review text are personal data. What to do instead: use minimum-scope OAuth (read-only where possible), enable Porter’s field-level PII masking before data reaches Claude, and document your data-processing basis.
3. AI-generated content that violates GBP content policies. Google’s Business Profile content policies prohibit spam, deceptive content, and fake engagement. Claude-generated review responses that are overly promotional, repetitive across locations, or fail to address the specific review content can trigger profile-level suspension (not API suspension). A marketer auto-generating 200 identical “Thank you for your feedback!” replies across a franchise chain risks the entire profile group being flagged. What to do instead: use Claude to draft personalized responses with location-specific details, always require human approval before posting, and maintain a response-variation library.
Both behaviors trigger quota exhaustion or policy violations. If you want to use ChatGPT for Google Business Profile safely, batch your writes, scope your OAuth minimally, and keep a human in the loop for every published change.
The 5-rule scaling protocol
Based on Google Business Profile’s documented quotas and the behaviors that have actually caused throttling — not guesswork:
-
Limit requests to 300 per minute across all GBP APIs. This is the default project-level QPM (queries per minute) limit shared across Business Information, Account Management, Performance, Verifications, Q&A, Lodging, Place Actions, and Notifications APIs. Exceeding this triggers
429errors across all endpoints. [Source: Google Business Profile APIs — Limits] If you ignore this, your multi-location sync job will cascade-fail. Porter MCP enforces per-project request pacing automatically. -
Restrict edits to 10 per minute per Google Business Profile. The My Business Business Information API enforces a hard cap of 10 edits per minute per location. This limit cannot be increased via quota request. [Source: Google Business Profile APIs — Limits] Bulk-updating 50 store hours via Claude without throttling will fail at location #2. Porter serializes write operations per-location with built-in 6-second spacing.
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Stay within 1,000 read requests per day for Business Information API (default). New projects start with 1,000 requests/day for the Business Information API and 500 requests/day for the Performance API. Request a quota increase via the GBP API contact form if you manage 100+ locations. Without this, a daily “sync all locations” job will exhaust quota by mid-morning.
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Use minimum-scope OAuth and mask PII before Claude ingestion. Grant only the scopes your use case requires (
business.readonlyfor reporting,business.manageonly if Claude needs to post responses). Review data may contain customer names and contact information. Porter’s field-level transformation can strip PII fields before they reach Claude, keeping your data pipeline GDPR/CCPA-compliant. -
Require human approval for all AI-generated posts and review responses. Google’s content policies prohibit spam and deceptive practices. Claude should draft, not publish directly. Implement a human-in-the-loop checkpoint for any write operation — especially review replies, local posts, and business description updates. This prevents profile suspension due to repetitive or promotional AI content.
What Porter MCP does differently: it enforces these limits at the platform level. Porter’s Google Business Profile connector applies per-project rate limiting with automatic backoff on 429 responses, serializes write operations per-location to respect the 10-edits-per-minute hard cap, and defaults to read-only OAuth scopes unless write access is explicitly enabled. Field-level transformations allow PII masking before data ever reaches Claude. That’s the behavior Google’s automated quota systems handle gracefully — no throttling, no surprise quota burns, no profile suspension risk.
Frequently asked questions
Ready to chat with your Google Business Profile?
Open ChatGPT, add the Porter connector, and ask your first question. If you don’t have Porter yet, start a free trial and connect your Google Business Profile account — you’ll be chatting with your campaigns in under five minutes.
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