Findings

Field notes, analysis, and practical research on AI visibility, citation behavior, business systems, and the technical gaps that shape how organizations are discovered and understood.

This section is where I publish higher-level observations from audits, experiments, and research.

Planned topics

• How AI systems describe and recommend businesses
• Why competitors appear in AI-generated answers
• What technical signals may affect AI discoverability
• How content structure influences machine interpretation
• The hidden technical debt of AI-assisted development
• Where small businesses are overbuying AI tools
• Where AI can create practical leverage without adding complexity

How I label this work

These findings are not meant to be hype pieces. They are working analysis. When something is measured, I will say how it was measured. When something is inferred, I will label it as an inference.