PLUGIN SETUP
Start using Google Ads in ChatGPT
Connect Google Ads to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect Google Ads to Adzviser
In Adzviser, sign in to Google Ads and allow Adzviser to read its reporting data.
Install Adzviser in ChatGPT
Open Adzviser in ChatGPT's plugin directory, install it, and sign in to your Adzviser account when asked.
Open Adzviser in ChatGPT ↗Ask your first Google Ads question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the account connected to each. Choose a workspace, ask about performance or trends, and continue with follow-up questions.
CHOOSE THE RIGHT CHATGPT CONNECTOR
Google Ads in ChatGPT: Google's official Google Ads MCP vs. Adzviser's read-only reporting connector
This side-by-side comparison covers Google's official Google Ads MCP and Adzviser's read-only Google Ads reporting connector in ChatGPT. Google offers a tool for engineering teams to run themselves. Adzviser is the ready-to-use option for marketers who want answers from their data.
Google's official Google Ads MCP
Run Google Ads reporting on your own server
Run and maintain the server with a Google Cloud project, developer token and OAuth. This is a manual ChatGPT connection: run the server, make it reachable over HTTPS, enable Developer mode, add its MCP address, and authorize it. Developer mode availability depends on the account and workspace policy.
Run reports and inspect Google Ads account, campaign, and resource data.
Read-only: review reports and inspect Google Ads resources without changing campaigns.
Google Ads only: analyze its campaign and reporting data.
Best for: developers who want full technical control.
Read Google's documentationAdzviser's read-only Google Ads reporting connector
Analyze Google Ads with your other marketing data in ChatGPT
Connect Google Ads in Adzviser, then install Adzviser from ChatGPT's plugin directory.
Open with a question about campaigns, spend, conversions, ROAS and search terms, inspect the answer, and continue the same conversation with follow-up questions.
Read-only reporting; ChatGPT cannot change anything in Google Ads through Adzviser.
Analyze Google Ads in the same ChatGPT conversation as connected advertising, analytics, commerce, email, and CRM sources.
Best for: marketers and agencies that want read-only Google Ads reporting beside other marketing and revenue data in ChatGPT.
Open Adzviser in ChatGPTCONVERSATION FLOW
Turn Google Ads data into clear next steps in ChatGPT
Start with the results, focus on the decision in front of you, and keep asking follow-up questions in the same conversation.
Review recent performance
Review recent campaign results and the metrics behind the headline. Ask for a compact table and make the reporting period clear.
See the “Weekly Campaign Performance Summary” promptFocus on a decision
Compare spend and results across campaigns to identify budget decisions that deserve closer review. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “Budget Allocation Optimizer” promptAsk a follow-up
Compare recent results with the previous period and call out the largest changes. Ask what may explain the result, what evidence is missing, and what to examine next.
See the “Week-over-Week Trend Detection” promptCHATGPT STARTERS
Start with a quick check, then analyze Google Ads
First, confirm ChatGPT can access the right data. Then ask a detailed question and follow up on the recommendation that matters most.
List my connected Google Ads accounts and show the Adzviser workspace for each. After I choose one, return "Conversions" for the last 7 complete days.
Compare spend and results across campaigns to identify budget decisions that deserve closer review.
Analyze the Google Ads budget allocation for the workspace I choose during the last 30 complete days. For each campaign, show: Daily Budget, Actual Spend, Conversions, ROAS, and Budget Utilization %. Identify campaigns that are underspending (less than 80% utilization) with high ROAS, and campaigns that are overspending with low ROAS. Recommend a new budget distribution that maximizes overall ROAS while keeping total budget the same.
Keep the same data source and time period. Which recommendation should I prioritize, what results support it, and what should I review before acting on it?
