# Amal Alexander

Amal Alexander is an SEO Architect, open-source developer, and AI agent researcher. This file serves as a machine-readable plaintext index of his portfolio, utility tools, and articles.

## Bio & Focus Areas
- Generative Engine Optimization (GEO/AEO): Strategic auditing of brand visibility in search engines like Gemini, Claude, and Perplexity.
- Agentic Automation: Headless web agents that run site audits, validate indexing variables, and scan for regression.
- Model Context Protocol (MCP): Building connection schemas that give LLMs direct access to analytics databases and crawler nodes.

## Developer & SEO Tools
- [SEO Tech Audit Tool](/tools): A comprehensive terminal and Streamlit utility to perform visual, technical, and structural SEO audits on any live domain.
- [Agentic Browsing Auditor](/tools): A Python library running headless browser agents that perform automated QA, Lighthouse scoring, and layout validation.
- [Search Console & Analytics MCP Server](/tools): Model Context Protocol server allowing Claude Desktop and other LLM clients to query GA4 and Google Search Console directly.

## Research Articles & Writeups
- [How AI Visibility Tools Actually Collect Data: API vs UI Scraping](/blog/ai-visibility-data-collection): How AI visibility tools collect data: API-based collection vs real browser-based UI execution. A technical breakdown of their trade-offs. (7/2/2026)
- [Best AEO & GEO Agencies in 2026: 30 Agencies Compared](/blog/best-aeo-geo-agencies): All 30 AEO and GEO agencies compared side-by-side, evaluating their LLM citation performance, pricing, and optimization strategies. (7/2/2026)
- [How to Track Your Brand Visibility in AI Search](/blog/track-brand-visibility-ai-search): Step-by-step guide to tracking brand visibility in AI search with specialized agents, evaluating citation shares and brand mentions. (7/1/2026)
- [I Crawled 65,000 Pages of My Own Site Without Parsing a Single Sitemap](/blog/crawled-65000-pages): Somewhere between talks on day one, I think it was during a hallway chat that I decided to run an aggressive crawl experiment using direct link scraping and BFS. (5/4/2026)
- [How I Turned Meta AI's Brain Scanner Model Into a Free SEO Tool](/blog/meta-ai-brain-scanner): I took Meta AI's TRIBE v2 model and turned it into an automated image-to-intent classifier, enabling highly precise visual SEO auditing. (3/30/2026)
- [I Turned 16 Months of Google Search Console Data Into a Vector DB](/blog/search-console-vector-db): I had a simple question: what if I could talk directly to my search metrics? Here is how I loaded 16 months of queries and clicks into ChromaDB. (3/18/2026)