information architecture for ai

The entire article is about designing information architecture ('right information, in the right order, at the right level of detail') as the foundation of context engineering.

Identifies semantic tagging, hierarchical organization, and relationship mapping as core techniques within the broader context engineering discipline.

AEO section is a concrete example of designing information structures (static HTML, single-authority pages) specifically for AI consumption, not just human UX.

Goes beyond generic information architecture to specifically optimize for AI consumption: 'You are not writing for humans. You are writing context for AI systems.'

The 80/20 split implicitly validates that information structure (architecture) matters more than query formulation—supports the concept that how you organize knowledge matters most.