Intentional Decomposition

Intentional Decomposition is a query breakdown method in AI Search that anticipates user intent progression throughout the customer journey. Rather than breaking topics into logical components, this method organizes content around user decision-making stages. It generates sub-queries based on what users typically want to know at each decision stage. For example, 'car leasing' generates sub-queries like 'what is leasing,' 'how much does it cost,' 'how to apply,' 'leasing vs loan,' and 'what happens when the lease ends.'

Implementation involves anticipating questions users haven't explicitly asked. Frame Semantics maps these questions since semantic frames contain all topic roles and elements. Identify 5–7 customer journey stages for your Central Entity, then create H2 sections for each stage — from 'what is it' through 'how much does it cost' to 'what are the alternatives'.