Deploying Local Llama 3 on Mac Studio M3 Ultra for Legal and Medical Practices
A technical blueprint for deploying local Llama 3 on Mac Studio M3 Ultra: unified memory sizing, Ollama Q4/Q8 quantization, HIPAA compliance, and local WebUI security.
SEO Architect, researcher, and developer building pipelines that bridge search, large language models, and web crawlers.
Model Context Protocol (MCP) server connecting Claude Desktop directly to Google Search Console, GA4, Bing Webmaster Tools & Adobe Analytics. Query SEO data in plain English.
Professional website analysis tool & Streamlit dashboard featuring side-by-side comparison of static HTML vs JavaScript-rendered DOM with real-time issue detection.
Free, self-hosted web data extraction API & SDK for AI pipelines. Turns any website into clean Markdown, structured JSON, or raw HTML with zero API keys or cloud costs.
Turn Google Sheets into a powerful SEO auditing platform. Performs On-Page & Technical Audits, PageSpeed Insights API checks, Image Audits, App Store Scrapers, and YouTube API Data Collection.
Run a Screaming Frog-style audit natively inside Google Sheets! Automatically crawls internal links, status codes (200, 301, 404), H1/H2 coverage, word counts, and content readability.
Comprehensive Google Search Console Apps Script tool. Fetches up to 25,000 GSC data rows, builds automated summary dashboards, and sends daily email alerts for ranking position drops.
A technical blueprint for deploying local Llama 3 on Mac Studio M3 Ultra: unified memory sizing, Ollama Q4/Q8 quantization, HIPAA compliance, and local WebUI security.

Why I built Ultra Frog SEO Crawler—a high-performance, open-source alternative to Screaming Frog infused with MCP servers, Mistral AI, and real-time sitemap validation.
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.
An analysis of how LLMs select and prioritize brand mentions in their training data, fine-tuning, and retrieval-augmented generation (RAG) contexts.
A deep dive into Answer Engine Optimization (AEO), why traditional SEO is no longer enough, and how to optimize content for generative search engine indexing.
A comparison of indexing mechanisms, retrieval algorithms, and user interaction patterns between legacy search engines and modern AI search agents.