PLUGIN SETUP
Start using BigCommerce in ChatGPT
Connect BigCommerce to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect BigCommerce to Adzviser
Connect BigCommerce using your store hash and access token.
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 BigCommerce question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the store connected to each. Choose a workspace, ask about performance or trends, and continue with follow-up questions.
CHOOSE THE RIGHT CHATGPT CONNECTOR
BigCommerce in ChatGPT: BigCommerce's official Storefront MCP vs. Adzviser's read-only reporting connector
This side-by-side comparison covers BigCommerce's official Storefront MCP and Adzviser's read-only BigCommerce reporting connector in ChatGPT. BigCommerce's beta helps customer-facing agents shop a storefront. Adzviser serves a different job: helping merchants analyze BigCommerce performance.
BigCommerce's official Storefront MCP
Build an AI shopping assistant
Enable the beta on an active storefront and connect its MCP URL to your assistant. This is a manual ChatGPT connection: enable Developer mode, add that remote MCP address, and authorize it. Developer mode availability depends on the account and workspace policy.
Help shoppers find products, manage a cart, and continue to checkout.
Shopper-facing actions: can search products, manage a cart and continue to checkout.
Storefront only: use catalog, policy and cart data for customer-facing shopping.
Best for: developers building customer-facing storefront agents.
Read BigCommerce's documentationAdzviser's read-only BigCommerce reporting connector
Analyze BigCommerce with your other marketing data in ChatGPT
Connect BigCommerce in Adzviser, then install Adzviser from ChatGPT's plugin directory.
Open with a question about sales, orders, products and customers, inspect the answer, and continue the same conversation with follow-up questions.
Read-only reporting; ChatGPT cannot change anything in BigCommerce through Adzviser.
Analyze BigCommerce in the same ChatGPT conversation as connected advertising, analytics, commerce, email, and CRM sources.
Best for: marketers and agencies that want read-only BigCommerce reporting beside other marketing and revenue data in ChatGPT.
Open Adzviser in ChatGPTCONVERSATION FLOW
Turn BigCommerce 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
Weekly sales snapshot. Ask for a compact table and make the reporting period clear.
See the “Weekly Sales Summary” promptFocus on a decision
Optimize product pricing. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “Pricing Optimization” 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 “Revenue Trend Analysis” promptCHATGPT STARTERS
Start with a quick check, then analyze BigCommerce
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 BigCommerce stores and show the Adzviser workspace for each. After I choose one, return "Orders" for the last 7 complete days.
Optimize product pricing.
Analyze BigCommerce pricing for the workspace I choose during the last 30 complete days. For each product: Price, Units Sold, Revenue, and Margin. Identify products where pricing adjustments could increase revenue. Recommend changes.
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?
