§ 00 — Guides

    AI Visibility Guides

    Working notes on how AI systems retrieve, resolve, and select sources — written for people implementing the work rather than describing it. Each guide links back to the underlying frameworks.

    § 01 — Foundations

    What AI visibility is, how AI search works, and the vocabulary the field uses.

    • What Is AI Visibility?

      AI visibility is whether AI systems retrieve, resolve, and select your content when composing answers. The three conditions, how it differs from SEO, and how to measure it.

      definitional · 8 min ·

    • RAG Explained in Plain English

      What Retrieval-Augmented Generation actually is, how the four-stage pipeline works, and why RAG is foundational for AI visibility and authority systems.

      definitional · 10 min ·

    § 02 — Getting Cited

    Practical work for being retrieved, named, and linked inside generated answers.

    • How to Rank in ChatGPT

      You do not rank in ChatGPT, you get retrieved and selected. Crawler access, self-contained passages, entity resolution, and how to measure the result.

      how-to · 9 min ·

    § 04 — Implementation

    Files, markup, and identity work that makes a site machine-readable.

    § 06 — Strategy

    Market formation, capital stacks, and the infrastructure economics upstream of AI visibility.

    • AI for SMBs in 2026: Build Workflows, Not Tool Stacks

      A practical operating guide for turning AI experimentation into measurable business leverage. Start with workflows, not tool stacks.

      how-to · 18 min ·

    • Compute Capital

      AI compute is becoming an input commodity, infrastructure asset, collateral base, and eventually a financial market. A strategic guide to the capital stack, compute treasury, and the benchmark problem.

      definitional · 11 min ·

    § 07 — Agents

    Memory, MCP connectors, and the practical tooling that lets agents work across applications.

    • 5 Questions About AI Memory & Agents — Answered

      A practical reference on Claude auto-memory, token costs, vector search vs. grep, Cowork success rates, and MCP connectors — sourced from 2026 research and official docs.

      diagnostic · 9 min ·

    § 08 — Essays

    Founder psychology, decision-making, and long-form notes from the operator layer.

    • Do Not Confuse Relief with Truth

      A philosophical essay on why relief is not a verdict, why withdrawal is underrated, and how founders can build the habit of separating comforting narratives from accurate conclusions.

      definitional · 7 min ·

    Coming soon — 21 in progress

    8 published / 29 planned