Integrations

Supercharge Google Merchant Center with Relevance AI

Google Merchant Center is a platform that facilitates the management of product data for online retailers. With Relevance AI, you can leverage AI Agents to streamline product updates and enhance your e-commerce strategies.

Give your AI Agents Google Merchant Center Superpowers

Google Merchant Center allows for efficient management of product listings and inventory. Relevance AI amplifies this by enabling intelligent AI Agents to automate updates and optimize product visibility across channels.

Intelligent Feed Orchestration

The AI agent automatically optimizes and synchronizes product feeds across multiple channels for maximum visibility and performance.

Predictive Inventory Mastery

Leverages real-time data to forecast stock levels and automatically adjust product availability across Google's shopping ecosystem.

Real-time Performance Adaptation

Dynamically adjusts product listings based on performance metrics to maximize conversion potential and ROI.

Tools

Equip AI Agents with the Google Merchant Center Tools they need

Relevance AI seamlessly integrates with Google Merchant Center to enhance your product data workflows.

Google Merchant Center - Update Product
Updates existing product listings in Google Merchant Center by modifying specific attributes while preserving unchanged values. Enables merchants to keep their product information current and accurate across Google's shopping platforms.
Google Merchant Center - Create Product
Creates new product listings in Google Merchant Center with detailed specifications including language, target country, and distribution channel. Allows merchants to expand their product catalog across Google's shopping ecosystem.
Google Merchant Center - Create Product
Creates new product listings in Google Merchant Center with detailed specifications including language, target country, and distribution channel. Allows merchants to expand their product catalog across Google's shopping ecosystem.
Name
Google Merchant Center API Call
Description
Make an authorized request to a Google Merchant Center API
Parameters
["OAuth account authentication", "Multiple base URL options", "HTTP method selection", "Custom headers support", "Request body configuration"]
Use Case
An e-commerce retailer uses this integration to automatically update their product inventory and pricing across multiple Google Merchant Center accounts, ensuring their product listings stay synchronized with their internal systems while maintaining accurate stock levels and competitive pricing.

Security & Reliability

This integration enables seamless management of product data between Google Merchant Center and your application, utilizing secure OAuth 2.0 authentication to ensure only authorized workflows access your product listings. Relevance AI handles API operations (like creating, updating, and managing products) in the background—so you don’t have to worry about errors, formatting, or limits.

With automated product catalog management and real-time inventory updates, built-in validation ensures your workflows run smoothly, even when data formats vary. Streamlined product data synchronization allows for efficient multi-channel product distribution, making it easier to manage your online presence.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Google Merchant Center + Relevance AI integration without writing code:
  • Start with a well-structured product catalog: Ensure all required fields are filled out and data formats are consistent.
  • Utilize the API documentation: Familiarize yourself with the Google Merchant Center API to understand the capabilities and limitations.
  • Connect securely: Make sure your OAuth credentials are correctly configured and have the necessary permissions.
  • Test your API calls: Use a sandbox environment or test data to validate your integration before going live.
  • Monitor for errors: Implement logging and error handling to quickly identify and resolve issues during data synchronization.