Most content fails because AI cannot read it properly.

In this episode, we explain how authority now depends on structure, clarity, freshness, and internal logic. We break down why AI-native search engines prefer knowledge systems over blog libraries and how poor architecture keeps pages from being retrieved or cited.

We cover how AI evaluates content, why decay happens fast, and what actually makes a page eligible for citation in modern search.

In this first episode of Behind the SERPs, we break down The Great Decoupling and what it means for content, SEO, and visibility in 2026.

Search no longer works the way most teams think. Discovery has shifted from blue links to AI-native engines that compress, cite, and recommend content differently. We explain why rankings alone no longer equal visibility, how AI citation has become the new metric, and why many brands are losing ground without seeing it happen.

We cover:

• Why traditional search is shrinking while AI-native discovery grows

• How authority, credibility, and brand now drive visibility

• The shift from content libraries to knowledge systems

• Why CMOs and content teams feel behind and what they are missing

• What to fix first if you want your content to stay visible in AI-driven search

This episode sets the foundation for the show. It gives you a clear mental model for how search works now and what needs to change if you want to stay relevant behind the SERPs.