# The Holbrook Report

> Curiosity, taken seriously — independent explainers on how things actually work, written with an AI model and directed, verified, and edited by Aaron Holbrook. Education, not advice. Every claim is labeled [FACT] (a sourced data point), [CHARACTERIZATION] (a label on the facts), or [PROJECTION] (a conditional "if X then Y"), and every report ends with its sources.

Every report is available as clean Markdown: append `.md` to its URL. The entire corpus as one Markdown file is at https://theholbrookreport.com/llms-full.txt.

## Reports
- [How a Local Business Gets Found Now: Search, AI Answers, and the Shift From Links to Citations](https://theholbrookreport.com/reports/local-discovery-in-the-age-of-ai.md): An investigation of how local businesses are discovered online as classic search gives way to AI-generated answers, using a rebuilt auto-detailing site as a named worked example, with the mechanics of SEO, structured data, and Generative Engine Optimization sourced to 2025 and 2026 studies.
- [Understanding IPOs: How They Work and What It Means to Invest in One](https://theholbrookreport.com/reports/understanding-ipos.md): An educational explainer of what an initial public offering is, how the process works, how to read its numbers, and what participating in one actually means for an ordinary investor.

## About
- [About The Holbrook Report](https://theholbrookreport.com/about): what it is, how it works, the honesty conventions, and the AI-disclosure stance.

## Optional
- [Full corpus as one Markdown file](https://theholbrookreport.com/llms-full.txt)
- [RSS feed](https://theholbrookreport.com/rss.xml)