Three problems, three outcomes. Each one: what was broken, what I did, what changed.
Lexinter: a legal directory, zero to 100K+ monthly visitors
Legal SEO · Content systems · AIO
The problem
Lexinter — a legal directory owned by Buzz Geek, LLC — launched with zero traffic and zero authority, in one of the most competitive niches on the web.
The strategy
Site architecture built for scale, keyword strategy, internal linking systems, and repeatable content workflows a team of 20+ could execute. AI Search built in: entity architecture, structured data, llms.txt.
The result
100,000+ monthly visitors and ~500 qualified leads per month — plus 1,300+ citations in AI answers from Google AI Overviews, Perplexity, Copilot, Gemini and ChatGPT (Ahrefs, November 2026).
0 → 100K+ visitors/mo
~500 leads/mo
1,300+ AI citations (Ahrefs)
Reversing a full site deindexation
Technical SEO · Recovery
The problem
An entire site dropped out of Google's index. Organic traffic — and the leads with it — went to zero.
The strategy
Systematic diagnosis across crawlability, indexation directives, and site health — isolating the cause instead of guessing, then fixing it at the source.
The result
Index coverage restored, organic traffic recovered. The kind of emergency you want someone who's seen it before.
30+ migrations, zero ranking loss
Migrations · Infrastructure
The problem
Migrations are where rankings go to die — hosting moves, HTTPS, domain changes, platform switches, each one a chance to lose years of SEO equity.
The strategy
A repeatable playbook: full crawl baselines, redirect mapping, DNS cutover planning, staging validation, and post-launch monitoring. I run the infrastructure side myself — no coordination gaps.
The result
30+ migrations completed with zero downtime and zero ranking loss. Server consolidation along the way cut recurring infrastructure spend across a 10-site portfolio.
A 60-page calculator site I planned, built and run on my own, live since October 2026. It covers all 50 US states, puts real numbers in the HTML for search engines and AI crawlers, and grows from what Search Console shows people need.
An AI system I led that sorts inbound email and drafts replies from the team's own past answers. A person checks every draft before it goes out, and about 3 in 4 are sent.
A service I built that takes leads from website forms and delivers them to partner APIs. Forms answer instantly, duplicates are blocked, and the final delivery got its own time limit after logs showed about 1 in 4 matched leads being lost to the short one.
Scheduled n8n workflows I built that find a topic, check its sources and draft an article for WordPress. Runs with no usable sources stop without writing, and about 1 in 5 drafts is repaired before it's published.