PLUGIN SETUP
Start using Amazon Ads in ChatGPT
Connect Amazon Ads to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect Amazon Ads to Adzviser
Sign in to Amazon Ads, allow Adzviser to read its reporting data, then select one or more country marketplaces from the same advertising account.
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 Amazon Ads question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the advertising account and selected marketplaces connected to each. Choose a workspace, ask about performance or trends, and continue with follow-up questions.
CHOOSE THE RIGHT CHATGPT CONNECTOR
Amazon Ads in ChatGPT: Amazon's official Ads MCP server vs. Adzviser's read-only reporting connector
This side-by-side comparison covers Amazon's official Ads MCP server and Adzviser's read-only Amazon Ads reporting connector in ChatGPT. Amazon's server is for agents that can build and change campaigns, account settings and billing workflows. Adzviser is for read-only analysis that connects ad performance to Seller Central and other marketing sources.
Amazon's official Ads MCP server
Create and manage Amazon Ads campaigns
Connect as an Amazon Ads partner with active API credentials. If your account receives a public MCP address, connect it manually in ChatGPT Developer mode. Developer mode availability depends on the account and workspace policy.
Review performance and manage supported campaigns, settings, and billing workflows.
Can run reports and create, update or delete campaigns and supported account settings.
Amazon Ads only: work with campaigns, settings, billing and reporting data.
Best for: Amazon Ads partners that want an AI agent to make campaign and account changes.
Set up Amazon Ads MCPAdzviser's read-only Amazon Ads reporting connector
Analyze Amazon Ads with your other marketing data in ChatGPT
Connect Amazon Ads in Adzviser, then install Adzviser from ChatGPT's plugin directory.
Open with a question about campaigns, spend, sales and ROAS, inspect the answer, and continue the same conversation with follow-up questions.
Read-only reporting; ChatGPT cannot change anything in Amazon Ads through Adzviser.
Analyze Amazon Ads in the same ChatGPT conversation as connected advertising, analytics, commerce, email, and CRM sources.
Best for: marketers and agencies that want read-only Amazon Ads reporting beside other marketing and revenue data in ChatGPT.
Open Adzviser in ChatGPTCONVERSATION FLOW
Turn Amazon 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
Optimize ACoS across campaigns and keywords. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “ACoS Optimization Strategy” 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 Analysis” promptCHATGPT STARTERS
Start with a quick check, then analyze Amazon 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 Amazon Ads accounts with their selected marketplaces and show the Adzviser workspace for each. After I choose one, return "Orders (view-attributed)" for the last 7 complete days. Break the result down by Account country.
Optimize ACoS across campaigns and keywords.
Analyze Amazon Ads ACoS for the workspace I choose during the last 30 complete days. For each campaign: Target ACoS, Actual ACoS, Break-Even ACoS, Spend, and Sales. For campaigns above target ACoS, show the top keywords driving the overage. Recommend specific bid reductions and negative keywords to bring ACoS to target while maintaining sales volume.
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?
