AI Engine Optimization

Steps in this workflow
Monitor and improve how Relay.app appears in AI-generated answers by automatically querying multiple AI engines and analyzing their responses. Here's how it works:
- The workflow runs automatically on a monthly schedule
- It sends a set of predefined questions to both ChatGPT and Perplexity
- An AI analyst reviews all the responses and creates recommendations for improving visibility
- The final report is saved as a Google Doc and shared via Slack
Triggers the workflow on a configured schedule, which can be set to run monthly or at other intervals. The recurrence pattern determines when the analysis process begins automatically.

Creates a table containing the questions to be asked to AI engines. Users can define multiple questions related to how their product appears in AI-generated responses.

Runs the following steps for each question in the table. This allows parallel processing of multiple questions across different AI platforms.

Submits each question to ChatGPT to see how it responds. The AI's answer will be analyzed to understand how Relay.app is mentioned or referenced.

Submits the same question to Perplexity to compare responses across AI platforms. This provides a broader view of how different AI engines handle queries about Relay.app.

Analyzes all collected AI responses and generates a comprehensive report with recommendations. The AI analyst examines how Relay.app appears in answers and suggests improvements for better visibility in AI search results.

Creates a Google Document containing the formatted analysis report. The document is saved to a configured folder and includes all findings and recommendations from the AI analysis.

Posts a message to a configured Slack channel with a link to the completed report. This notifies the team that the monthly AI engine optimization analysis is ready for review.
