google-ads-setup

Google Ads AI agent deployment is automated through an 8-phase setup process covering environment checks, Supabase schema deployment, credential collection, and multi-brand onboarding. Running this setup initializes the entire system, verifying inter-machine connectivity and final readiness.

Google Ads AI system initialization requires Python dependencies including requests, google-generativeai, and google-auth-oauthlib. You also need Supabase for schema deployment and specific API keys and connection details for secure credential management during the setup process.

Yes, multi-brand onboarding is a core feature of the Google Ads AI setup. It facilitates configuring new brands with specific campaign targets and credentials, installing 7 specialized AI agents on the execution machine to optimize campaigns for each brand.

Credential management securely collects and stores API keys and connection details during the setup. This phase ensures the Orchestrator can authenticate and communicate with the execution engine, establishing all necessary connections for system operation.

End-to-end Google Ads AI system setup orchestrates 8 distinct phases: environment self-checks, Supabase schema deployment, credential collection, connectivity verification, agent skill deployment, multi-brand onboarding, agent testing, and final system readiness validation.

Supabase schema deployment is required to structure the backend data storage for the Google Ads AI agent system. It establishes the necessary database architecture during setup so the installed agents can correctly store and retrieve operational data.