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.

Google's AI Essentials framework is built on providing its systems with high-quality data and a solid structure to optimize for the best results.

Analysis of Correct Answer(s) - Build a foundational ads infrastructure: This is a core pillar of AI readiness. It involves setting up accurate and durable conversion tracking using tools like the Google Tag and enhanced conversions. This foundation provides the reliable data and signals that AI needs to learn what's working and make intelligent decisions. - Engage with relevant customers: This refers to activating your first-party data. By securely sharing insights about your existing customers (e.g., through Customer Match), you give the AI a clear picture of who your most valuable customers are. This enables the AI to find new, similar audiences and deliver more relevant ads.

Analysis of Incorrect Options - Implement third-party cookies: This is incorrect and outdated. The industry is actively phasing out third-party cookies due to privacy concerns. Google's modern measurement solutions focus on privacy-safe, first-party data and modeled conversions. - Develop and test new bid strategies: The AI essential is not to develop new strategies but to adopt Google's existing AI-powered Smart Bidding strategies (e.g., Maximize conversions). The foundational infrastructure and audience data are prerequisites that enable these automated strategies to perform optimally.

(Note: Although the question asks for three best practices, the two provided correct answers represent the most critical foundational pillars for leveraging Google AI.)