Learning Hub
The Growth Marshal Learning Hub is your forum for discovery and applied insight into AI Search Optimization. Here we break down complex ideas, like trust signals, schema engineering, and retrieval systems, into plain language and actionable strategies. From foundations to field reports, Learning Hub connects you with the tools, benchmarks, and frameworks shaping how answers surface in AI search.
llms.txt: What you need to know
The risks and limits of adopting llms.txt
What is a Canonical Identity Registry and Why It Matters
Solving the, “who is this” problem
How the Search Stack Evolved from Blue Links to LLM Answers
What did “blue links” actually optimize for?
Mapping Jobs-to-be-Done: Where AI Search Optimization Creates Revenue and Saves Cost
Why should businesses map jobs-to-be-done in AI search?
Breaking Down the Core KPIs in AI Search Optimization
Why are KPIs the oxygen of AI search optimization?
Understanding Embedding Optimization and Why it Matters for AI Search
Every time you type into ChatGPT, Perplexity, or Claude, the model translates your words into dense vectors called embeddings.
Understanding Machine-Readable Trust Assets
Trust is what a machine calculates when it parses your digital footprint.
What is a Content Chunk, Anyway?
they’re about feeding the voracious hunger of large language models that slice, dice, and regurgitate knowledge across every conceivable query surface.
How Entity Resolution Works
The model cannot think straight if the data cannot agree on who is who...
How AI Search Optimization Really Works
AI Search Optimization is the art and science of making your brand discoverable, retrievable, and cite-worthy inside large language models.
Structured Data Mastery
Become a Samurai of the Semantic Era
Chunk Engineering 101
Content Architecture for 32k‑Token Retrieval Windows
What Are Embeddings?
Learn how embeddings define meaning for AI systems and enable content chunking.
Entity-Centric Architecture 101
The Guide to a Modern Framework
How Wikidata Enables AI Search Optimization Through Stable Entity Records
Learn the mechanics of creating, validating, and maintaining Wikidata items for reliable AI retrieval
Answer Shapes 101: How LLMs Prefer to Read
What are Answer Shapes and why do large language models depend on them?
Intro to AI Search Optimization
A Starter Guide to Discoverability in a Post-Google World