PLUGIN SETUP
Start using Amazon Seller Central in ChatGPT
Connect Amazon Seller Central to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect Amazon Seller Central to Adzviser
Choose your Seller Central region, sign in, allow Adzviser to read its reporting data, then select one or more marketplaces from the same seller 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 Seller Central question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the seller 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 Seller Central in ChatGPT: Amazon's official SP-API MCP samples vs. Adzviser's read-only reporting connector
This side-by-side comparison covers Amazon's official SP-API MCP samples and Adzviser's read-only Amazon Seller Central reporting connector in ChatGPT. Amazon publishes local MCP examples for building and running SP-API integrations. They are educational samples for developers, while Adzviser provides a supported, ready-to-use connection for seller reporting.
Amazon's official SP-API MCP samples
Build your own seller-data tool
Install and run Amazon's local developer samples with your own SP-API credentials. 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.
Build custom seller workflows around the SP-API operations your team implements.
Developer-defined: available reads and actions depend on the SP-API workflows you build.
Seller Central only: use the seller data returned by your custom workflows.
Best for: developers prototyping their own seller tools; Amazon labels these as samples.
View Amazon's samplesAdzviser's read-only Amazon Seller Central reporting connector
Analyze Amazon Seller Central with your other marketing data in ChatGPT
Connect Amazon Seller Central in Adzviser, then install Adzviser from ChatGPT's plugin directory.
Open with a question about sales, orders, products and inventory, inspect the answer, and continue the same conversation with follow-up questions.
Read-only reporting; ChatGPT cannot change anything in Amazon Seller Central through Adzviser.
Analyze Amazon Seller Central in the same ChatGPT conversation as connected advertising, analytics, commerce, email, and CRM sources.
Best for: marketers and agencies that want read-only Amazon Seller Central reporting beside other marketing and revenue data in ChatGPT.
Open Adzviser in ChatGPTCONVERSATION FLOW
Turn Amazon Seller Central 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
Get a weekly snapshot of your Amazon sales. Ask for a compact table and make the reporting period clear.
See the “Weekly Sales Summary” promptFocus on a decision
Identify listings that need optimization. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “Listing Optimization Priorities” 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 “Sales Trend Analysis” promptCHATGPT STARTERS
Start with a quick check, then analyze Amazon Seller Central
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 Seller Central accounts with their selected marketplaces and show the Adzviser workspace for each. After I choose one, return "Orders shipped" for the last 7 complete days. Break the result down by Marketplace country.
Identify listings that need optimization.
From the workspace I choose for the last 30 complete days, identify Amazon Seller Central products with: 1) High sessions but low conversion rate (<5%). 2) Low sessions despite good conversion. 3) Declining Buy Box percentage. For each: ASIN, Sessions, Conversion Rate, Buy Box %, and Revenue Trend. Recommend specific listing improvements (titles, bullets, images, A+ Content).
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?
