Organic traffic is facing new challenges as Google's advertising model shifts from keyword reliance to understanding user intent. Many PPC teams still create campaigns based on traditional methods: compiling keyword lists and matching them with ad groups. However, this approach is becoming outdated. Google now prioritizes inferred user intent, reflecting a change in how search functions. In this context, the auction process is no longer triggered solely by specific keywords but by the underlying goals of the user. The mechanics of Google searches have evolved significantly. Google's AI employs a method called "query fan out," which breaks down complex queries into smaller components and runs multiple searches simultaneously to generate a comprehensive answer. This process can occur even before the user has finished typing their question. Notably, the AI can detect commercial intent even within informational queries. For example, a user asking about a pool's color may be more interested in purchasing cleaning products or services rather than just seeking information. Adapting to this shift means marketers must rethink their campaign strategies. An intent-first approach allows for more effective campaign design, creative development, and performance measurement. While keywords still hold value, they should no longer serve as the primary framework. Instead, understanding user intent will be key to staying relevant in a rapidly changing advertising landscape.