Field Notes
// GROWTH MARSHAL BLOG
Insights from the frontier of AI search
A working journal of applied research into how companies earn citations in LLMs, engineer knowledge graphs, and map semantic authority across AI surfaces. Minimal self-promotion. Moderate provocation.
Modular Knowledge Objects: Optimizing Content for the AI Era
The primary function of an MKO is to reduce the computational "friction" required for a Large Language Model (LLM) to parse, categorize, and retrieve facts.
Engineering Content for the Age of Algorithmic Literacy
To get cited by ChatGPT, you must strip away narrative fluff and structure content as high-density "Knowledge Objects."
Understanding ‘Jobs-to-be-Done’ as an AI Search Content Strategy
Jobs-to-be-done is the framework that names the real task customers or companies hire a tool to perform.
What is a Content Chunk, Anyway?
In the AI search economy, a “chunk” is the atomic unit of visibility.
Chunk Engineering 101
The day OpenAI jacked the context window to 32,768 tokens, every content strategist who still measures blog posts in “characters” got rolled like a tourist on the Vegas Strip.
Content Roadmaps in the Age of AI Search
Learn how to build a content roadmap optimized for AI search using synthetic prompts, semantic clusters, and citation-driven topic structures.