Nine articles explaining the structural, semantic, and extraction requirements that determine whether AI systems cite your content or skip it—plus strategic guidance on when Authority Pages are the right approach.
Understanding the fundamental differences between Authority Pages and traditional blog content, and why AI systems cite one but not the other.
Understanding the three-filter framework AI systems use to evaluate content for citation, and how to structure information to pass each filter.
Understanding how self-contained, extractable content units solve the fundamental challenge AI systems face when citing sources.
Understanding how immutable voice recording creates the terminological and conceptual consistency that AI systems recognize as authoritative expertise.
Understanding why AI systems cite problem-focused diagnostic content 3-4 times more frequently than solution-focused prescriptive content.
Systematic validation approaches across structural, semantic, and extraction dimensions that eliminate trial-and-error from AI content creation.
Understanding the fundamental distinction between authority governance and content generation—and why conflating them undermines both strategies.
Understanding why six pages create defensible authority boundaries—and why expansion dilutes rather than strengthens authority positioning.
Understanding strategic misalignment scenarios where Authority Pages waste resources rather than create value—and what to do instead.