Automatically Request Luxury Landscape Design Testimonials for GMB

This workflow is for luxury landscape design businesses that use Airtable to manage projects and seek automated testimonial collection for Google My Business (GMB). This workflow automatically requests testimonials from customers for luxury landscape design projects. It triggers when an Airtable record is updated, then crafts personalized email and SMS requests using AI, using project notes and customer names. The system automates a key customer relationship management task, freeing staff to focus on other high-value activities. You need an n8n instance, an Airtable account with specific bases and tables for project management, an OpenRouter account for AI model access, and credentials for both Airtable and OpenRouter within n8n. Configure the Airtable trigger to monitor the relevant fields and connect the AI agent to OpenRouter's model. Update the AI prompt and output parser to match your specific branding and desired message format. You also need to integrate with an email and SMS sending service (not included in the provided workflow). Airtable account, n8n instance, OpenRouter account, email sending service, SMS sending service. You can customize the Airtable base and table, the AI prompt for tone and messaging, and the structured output parser to change the format of the generated email subject, body, and SMS. You can also integrate different AI models via OpenRouter or change the testimonial request logic to suit various project types. Key Technologies: Airtable,n8n,AI Agent (Langchain),OpenRouter (AI Model) Automation Value: Automates testimonial requests, saving significant manual effort. Personalizes communication at scale, improving customer engagement. Ensures consistent and professional customer outreach. Frees up staff to focus on high-value tasks, rather than manual administrative work. Boosts online reputation by actively collecting GMB testimonials. Best Practices: Use clear and concise naming for nodes to improve readability and maintenance. Thoroughly define AI agent system messages to guide AI behavior effectively, ensuring consistent brand voice and communication standards.