Implementing foundational measurement and audience solutions is key to taking advantage of the AI opportunity. What three best practices comprise Google Ads AI essentials to deliver long-term performance for your business? Select three answers.

The three correct best practices—measure and attribute conversions accurately, build a foundational ads infrastructure, and engage with relevant customers—form the core of Google Ads AI essentials because AI-driven performance depends on high-quality data, strong technical setup, and meaningful audience signals. Accurate conversion measurement ensures AI models have reliable feedback to optimize bidding and targeting decisions. A solid ads infrastructure (including proper tagging, data integration, and account structure) creates the technical foundation that allows automation and machine learning to function effectively at scale. Finally, engaging with relevant customers provides the intent and audience signals AI needs to deliver personalized, high-performing ads. Without these three elements in place, AI tools in platforms like Google Ads cannot optimize efficiently or drive sustainable long-term growth.