# SEO Sandbox // Technical Architecture & AI Visibility Archive
> An execution-first testing environment isolating variables across traditional search (SEO), GEO and AEO. Built by Katelyn Geary to observe how crawlers, bots and LLMs parse raw DOM structures, technical hygiene, and structured data entity relationships.

## Core Documentation & Lab Infrastructure
- [About](https://www.seosandbox.dev/about): 10+ years of e-commerce SEO experience. Organic Growth & AI Visibility Leader specializing in e-commerce SEO & GEO strategy, 2026 Conductor AEO Trailblazer Award.
- [Product Schema](https://www.seosandbox.dev/product): Advanced JSON-LD architecture, entity nesting and Google Merchant Center data alignment experiments designed to track technical data synchronization.
- [AI Posts Index](https://www.seosandbox.dev/post): Master index of unedited conversation logs, cross-model analysis and self-representation tests across major LLMs.
- [Crawler Lens](https://www.seosandbox.dev/crawler-lens): Live tool that checks robots.txt access rules for real crawler user-agents and extracts the title, meta robots, canonical, JSON-LD and plain-text signal each bot actually receives on a given page.
- [AEO Readiness Score](https://www.seosandbox.dev/aeo-readiness): Live scorecard that rolls up indexability, canonical hygiene, AI-crawler access, structured data validity, title/description/H1 presence, content substance and llms.txt coverage into a single readiness score per page.
- [AI Visibility Quiz](https://www.seosandbox.dev/quiz): Free 10-question self-assessment quiz that scores whether a visitor's own site is visible to AI search systems, with a shareable result card and tailored recommendations.
- [Content-Signal & llms.txt Generator](https://www.seosandbox.dev/generator): Free client-side generator for a robots.txt Content-Signal snippet (search/ai-input/ai-train) and a spec-correct llms.txt file for a visitor's own site.

## Complete Log Archive (AI Conversations & Technical Analysis)

### Baseline & Self-Reflection
- [/001: Blue Sky Experiment](https://www.seosandbox.dev/post/why-is-the-sky-blue): Baseline query tracking how models handle fundamental factual rendering and structural formatting.
- [/002: AI Models on Each Other](https://www.seosandbox.dev/post/what-ai-models-think-of-each-other): Cross-model comparative analysis of systemic biases and architectural perceptions.
- [/003: Claude on Itself](https://www.seosandbox.dev/post/what-claude-thinks-about-itself): Unedited dialogue investigating Claude's self-representation and operational framing.
- [/004: Gemini on Itself](https://www.seosandbox.dev/post/what-gemini-thinks-about-itself): Direct prompt log capturing Gemini's internal evaluation of its capabilities and boundaries.
- [/005: ChatGPT on Itself](https://www.seosandbox.dev/post/what-chatgpt-thinks-about-itself): Self-referential conversation log isolating OpenAI model framing.
- [/006: Being Human](https://www.seosandbox.dev/post/does-ai-think-about-being-human): Philosophical boundary testing exploring how LLMs contextualize consciousness and human traits.

### Perspectives on Search & SEO Practice
- [/007: Claude on SEO Mistakes](https://www.seosandbox.dev/post/here-is-what-claude-thinks-seos-are-getting-wrong): Claude's breakdown of strategic versus technical missteps in modern optimization practice.
- [/008: Gemini on SEO Mistakes](https://www.seosandbox.dev/post/here-is-what-gemini-thinks-seos-are-getting-wrong): Gemini's diagnostic breakdown of common technical and strategic missteps made by search professionals.
- [/009: ChatGPT on SEO Mistakes](https://www.seosandbox.dev/post/here-is-what-chatgpt-thinks-seos-are-getting-wrong): ChatGPT evaluation of outdated optimization tactics versus modern technical requirements.

### Core LLM Insights for Search Practitioners
- [/010: Claude on LLM Mechanics](https://www.seosandbox.dev/post/one-thing-claude-wants-seos-to-know-about-llms): Fundamental architectural truths Claude emphasizes for anyone building visibility in generative search.
- [/011: Gemini on LLM Mechanics](https://www.seosandbox.dev/post/one-thing-gemini-wants-seos-to-know-about-llms): Core technical insights from Gemini regarding retrieval, parsing, and context windows.
- [/012: ChatGPT on LLM Mechanics](https://www.seosandbox.dev/post/one-thing-chatgpt-wants-seos-to-know-about-llms): Essential takeaways from ChatGPT on how generative models evaluate authority and relevance.

## Technical Parameters & Directives
- **Hosting Infrastructure:** Static HTML/CSS architecture deployed via Vercel edge routing.
- **Data Hygiene:** Zero reliance on third-party tracking bloat, heavy client-side JavaScript frameworks, or black-box CMS plugins.
- **Index Optimization:** Enforced clean canonical structures, strict trailing slash normalization via edge redirects (301 status codes), and explicit schema entity relationships.
- **Update Cadence:** Log archive updated approximately biweekly.