Connect Google Merchant Center to ChatGPT

Connect your Google Merchant Center data to ChatGPT using the Windsor.ai plugin

Bring your Google Merchant Center data into ChatGPT to see which specific products get impressions, clicks and conversions, and optimize your product listings with AI.

Connect data in about a minute. No code required.

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Windsor.ai is your proven Google Merchant Center to ChatGPT connector

Optimize product performance with Google Merchant Center to ChatGPT integration

Use the Windsor.ai plugin to connect Google Merchant Center to ChatGPT and find high-impression products, listing issues, and missing product data across your catalog. Discover key use cases below:

Fix blocked products quickly

Ask ChatGPT how many products are disapproved, pending or expiring for each destination and country. This helps your team see where catalog issues are and check that the counts fall after each fix.

Connect your shop to your sales

Ask the AI to show you which specific products from your feed earn conversions in your ads (Google Ads). This shows which items drive sales and which get clicks without sales. Combining sources needs a paid plan. The free forever plan includes 1 data source.

Spot 'Hidden Gem' products

ChatGPT can help you find products that have high interest from shoppers but aren’t getting enough visibility yet. Understand which items deserve a little more attention to turn them into top sellers.

Create better product descriptions

Let ChatGPT analyze your basic product details to generate professional, catchy descriptions, and write the one you choose to an API data source with the update_product write action after you confirm.

Try this prompt: Merchant Center product statuses and prices in ChatGPT

Supported fields: 33 metrics117 dimensions

In a chat with the Windsor.ai plugin, ask:

For my Google Merchant Center account, how many products are active, pending, disapproved and expiring for each destination and country? Then list the products whose price is furthest above Google's benchmark price, with the price, the benchmark and the gap in percent.

Product statuses: ChatGPT answers from product_status_reporting_context (for example Shopping ads or free listings), product_status_country and the active, pending, disapproved and expiring counts (product_status_disapproved_count and the others).
Prices: ChatGPT answers from product_title, product_price, product_benchmark_price and product_price_gap.

Windsor.ai returns the number of disapproved products for each destination, without the reason for each one; Merchant Center lists the reasons per product. The setup steps, a second prompt and fixes for common problems are in how to connect Google Merchant Center to ChatGPT.

Windsor.ai plugin page in ChatGPT with the Install plugin button

Available actions

Insert Product Add a product to an API data source of the connected Merchant Center account. If the data source already has an entry with the same product_id, content_language and feed_label, the new entry replaces it. data_source is the data_source_id or data_source_name of an API data source (Data Sources table, or create one with create_data_source). In a primary data source, give the attributes that Google needs to show the product, for example title, link, image_link, price, currency and availability. Merchant Center shows the change after a few minutes. Remove the product with delete_product.

Add a product to an API data source of the connected Merchant Center account. If the data source already has an entry with the same product_id, content_language and feed_label, the new entry replaces it. data_source is the data_source_id or data_source_name of an API data source (Data Sources table, or create one with create_data_source). In a primary data source, give the attributes that Google needs to show the product, for example title, link, image_link, price, currency and availability. Merchant Center shows the change after a few minutes. Remove the product with delete_product.

Parameters

data_sourcestringRequiredproduct_idstringRequiredcontent_languagestringRequiredfeed_labelstringRequiredtitlestringdescriptionstringlinkstringimage_linkstringadditional_image_linksstringpricestringsale_pricestringcurrencystringavailabilitystringconditionstringbrandstringgtinsstringmpnstringgoogle_product_categorystringproduct_typesstringcustom_label_0stringcustom_label_1stringcustom_label_2stringcustom_label_3stringcustom_label_4string

Update Product Change the given attributes of a product in an API data source of the connected Merchant Center account. Attributes that are not given keep their values. product_id, content_language and feed_label come from the product_id, product_content_language and product_feed_label fields. data_source is the data_source_id or data_source_name of an API data source: the product's primary data source (product_data_source) if its input is API, otherwise a supplemental API data source that is linked to that primary data source (create one with create_data_source and link_to_primary_data_source). Values of a supplemental data source that comes before the feed in the feed's default rule (as create_data_source links it) override the feed values until delete_product removes them from the supplemental data source. clear_attributes deletes attributes from the product in data_source: in a supplemental data source the product then shows the feed value again. pause ADS or ALL pauses the product, NONE ends the pause. Merchant Center shows the change after a few minutes.

Change the given attributes of a product in an API data source of the connected Merchant Center account. Attributes that are not given keep their values. product_id, content_language and feed_label come from the product_id, product_content_language and product_feed_label fields. data_source is the data_source_id or data_source_name of an API data source: the product's primary data source (product_data_source) if its input is API, otherwise a supplemental API data source that is linked to that primary data source (create one with create_data_source and link_to_primary_data_source). Values of a supplemental data source that comes before the feed in the feed's default rule (as create_data_source links it) override the feed values until delete_product removes them from the supplemental data source. clear_attributes deletes attributes from the product in data_source: in a supplemental data source the product then shows the feed value again. pause ADS or ALL pauses the product, NONE ends the pause. Merchant Center shows the change after a few minutes.

Parameters

Delete Product Delete a product from an API data source of the connected Merchant Center account. From a primary data source this removes the whole product, including its supplemental values: only insert_product with all attributes adds it again. From a supplemental data source this removes only the values of that data source, and the product keeps its primary values. data_source is the data_source_id or data_source_name of the API data source.

Delete a product from an API data source of the connected Merchant Center account. From a primary data source this removes the whole product, including its supplemental values: only insert_product with all attributes adds it again. From a supplemental data source this removes only the values of that data source, and the product keeps its primary values. data_source is the data_source_id or data_source_name of the API data source.

Parameters

data_sourcestringRequiredproduct_idstringRequiredcontent_languagestringRequiredfeed_labelstringRequired

Create Data Source Create an API product data source in the connected Merchant Center account. A primary data source holds products that insert_product adds. A supplemental data source holds values that update_product writes for products from a file feed, an app or the Merchant Center UI. Merchant Center applies them only to products of the primary data sources that the supplemental data source is linked to. link_to_primary_data_source (data_source_id or data_source_name) puts the new supplemental data source first in the default rule of that primary data source, so its values override the feed, and keeps the sources the rule already uses. The user removes the link in Merchant Center (the Attribute rules of the primary data source). Give content_language and feed_label together to accept only products with them, or leave both out to accept every product. countries is for a primary data source only. Each call creates a new data source: list the existing ones in the Data Sources table first.

Create an API product data source in the connected Merchant Center account. A primary data source holds products that insert_product adds. A supplemental data source holds values that update_product writes for products from a file feed, an app or the Merchant Center UI. Merchant Center applies them only to products of the primary data sources that the supplemental data source is linked to. link_to_primary_data_source (data_source_id or data_source_name) puts the new supplemental data source first in the default rule of that primary data source, so its values override the feed, and keeps the sources the rule already uses. The user removes the link in Merchant Center (the Attribute rules of the primary data source). Give content_language and feed_label together to accept only products with them, or leave both out to accept every product. countries is for a primary data source only. Each call creates a new data source: list the existing ones in the Data Sources table first.

Parameters

display_namestringRequiredtypestringRequiredcontent_languagestringfeed_labelstringcountriesstringlink_to_primary_data_sourcestring

Google Merchant Center analytics prompts to try in ChatGPT:

Summarize my top 10 products by clicks over the last 7 days, with impressions and CTR for each.
Create a weekly performance summary for my ‘Apparel’ category, showing total impressions, clicks, and the product title with the most impressions.
Identify products that have received more than 500 impressions but have a CTR below 0.5%. Suggest 3 ways to improve their visibility.
Show how many products are disapproved or pending for each destination and country, and which destination has the most disapprovals.
Compare my current average product price with the benchmark price for my product category with the most conversions from free listings, and highlight any products where I am significantly more expensive.

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How to connect Google Merchant Center to ChatGPT data with Windsor.ai

Explore our video tutorial and a step-by-step guide to integrate your data from any source into ChatGPT with the Windsor.ai plugin. For Google Merchant Center, the full steps, a prompt to try and fixes for common problems are in how to connect Google Merchant Center to ChatGPT.

Select your data source

Choose Google Merchant Center as your data source, sign in with a Google account that has access to your Merchant Center account and grant access to Windsor.ai.

Google Merchant Center data source windsor

Add the Windsor.ai plugin

Log in to your ChatGPT account and open the Windsor.ai plugin page. Click Connect, or Install plugin if that is the button you see, then authorize access. You can also click Plugins in the ChatGPT sidebar and search for Windsor.ai. We set this up on ChatGPT’s Free plan.

Query your Google Merchant Center data in ChatGPT

Open a new chat and start asking questions about your connected Google Merchant Center data using natural language. Make sure that the Windsor.ai plugin is enabled: click + and choose Windsor.ai, or type @Windsor. To check the connection, ask: “Which Google Merchant Center accounts are connected to my Windsor account? List each account name and its ID.”

FAQs

What is the Windsor.ai plugin for Google Merchant Center in ChatGPT?

The Windsor.ai plugin is a no-code integration that brings your product feed and performance data into ChatGPT for in-depth AI analysis. Instead of file exports or complex dashboards, you can query your data in plain language and get answers.

With support for 350+ data sources, Windsor.ai also enables you to go beyond single-platform reporting, combining your Merchant Center data with ad spend, analytics, or revenue data for cross-channel reports. Combining sources needs a paid plan. The free forever plan includes 1 data source.

Is there an official Google Merchant Center app for ChatGPT?

No. ChatGPT’s Plugins directory has no Merchant Center plugin from Google (checked 4 November 2026). The directory also lists Windsor.ai’s dedicated “W. Google Merchant Center” plugin (“Analyze Google Merchant Center”); the steps on this page use the main Windsor.ai plugin. Google documents a Merchant API MCP server in alpha, with read tools (including the aggregated reasons for product disapprovals) and low-risk write tools such as creating a data source. It needs a Google Cloud project and OAuth or a service account, and its guide covers Antigravity, Claude’s command line tool and cURL; it does not cover ChatGPT (Google’s guide). In ChatGPT, a custom MCP server gets full support only in Business, Enterprise and Edu workspaces; Pro gets read and fetch tools only. You can also use the Windsor.ai plugin, copy the figures from a Merchant Center report into a chat, or send the data to Google Sheets. The routes are compared in how to connect Google Merchant Center to ChatGPT.

What Google Merchant Center metrics can I analyze in ChatGPT with Windsor.ai?

Windsor.ai gives ChatGPT 150 Merchant Center fields, including:

Product performance metrics: product impressions, clicks, CTR (click-through rate), conversions and conversion rate (both for free listings only), and click potential.
Pricing and competitiveness insights: product price, sale price, benchmark price, price gap, and suggested price.
Price suggestion forecasts: the predicted click, conversion and impression uplift of the suggested price, and the predicted effectiveness of applying it.
Inventory and product status: product availability, availability date, product condition, sell on Google quantity, product creation date, and product expiration date, plus the number of active, pending, disapproved and expiring products for each destination and country.
Product attributes and catalog structure: product ID, product title, brand, product category (L1 to L5), product type (L1 to L5), and product channel.
Custom labels and segmentation: custom label 0 to 4, product feed label, product data source, product language code, product content language, and product item group ID.

Can ChatGPT generate product descriptions for my Merchant Center feed?

Yes. ChatGPT reads your product attributes (brand, Google product category, current description) and drafts new descriptions. With the update_product write action (write actions list), it can write the one you choose to an API data source after you confirm.

How often is the Google Merchant Center data refreshed in ChatGPT?

Windsor.ai pulls your Merchant Center data when you ask in ChatGPT. There is no scheduled export or manual refresh.

Can I analyze product availability and out-of-stock items?

Yes. ChatGPT can list the products that are out of stock, on preorder or on backorder, and count your products by availability.

Does connecting Merchant Center to ChatGPT list my products in ChatGPT shopping?

No. The Windsor.ai plugin gives ChatGPT your Merchant Center data to analyze. Showing your products in ChatGPT’s shopping results is a separate program: OpenAI publishes its own product feed for merchants in its commerce documentation.

What prompts can I use to analyze Google Merchant Center data in ChatGPT?

For deeper insights, try more advanced prompts such as:

Find products with at least 1,000 impressions in the last 30 days but 0 conversions from free listings. Analyze their titles for missing keywords compared to my top performers. Recommend how to rewrite them to improve relevance and drive conversions.

Analyze the relationship between 'Product Price' and 'CTR' across my entire inventory. Identify the price range where engagement is highest and list products that fall outside this range.

Cross-reference my top-selling products from Google Ads (Conversion Value) with their attributes in Google Merchant Center (Product Type, Category, Price). Which specific product types or price points are driving the most sales?

Find products that have a free listings conversion rate 20% higher than the account average but are currently receiving less than 5% of total impressions. Suggest how to increase their exposure.

The Google Ads prompt combines two sources. Combining sources needs a paid plan. The free forever plan includes 1 data source.

How much does it cost to integrate Google Merchant Center into ChatGPT using Windsor.ai?

You can start on Windsor.ai’s free forever plan, no credit card. It covers 1 user, 1 data source and 1 account with the last 30 days of data. Paid plans start at $19/month for 3 sources (Basic) and $99/month for 7 sources (Standard), billed annually. See the pricing page for every plan.

How long does it take to connect Google Merchant Center to ChatGPT?

The setup takes about a minute and needs no code.

Do you have helpful links to get started with integrating Google Merchant Center and ChatGPT using Windsor.ai?

Yes. These pages cover Google Merchant Center in ChatGPT with Windsor.ai:

How to connect Google Merchant Center to ChatGPT: setup steps, a prompt to try and fixes for common problems
How to use Windsor.ai for e-commerce: product and store data next to your ad channels
Google Merchant Center Field Reference: every field and its description
Write actions: the four Merchant Center actions and their parameters
ChatGPT Integration Documentation: the Windsor.ai plugin for any source

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