+11 years in SEO. I rebuild how search engines and AI tools see your site, and scale traffic through structure, not guesswork.
Comprehensive SEO audit, to identify what’s actually holding growth back, and define a clear path forward. No guesswork!
Manage crawling, define clear indexation, and site architecture issues that improve search and LLM visibility.
Technical brilliance, high quality content, contextual & logical internal linking, and high quality external mentions.
Content built around semantic clusters closely tied to business goals, not random blog posts or high volume shiny keywords.
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Skills built across publishing, marketplaces, SaaS, and local SEO; sharpened by 11+ years of fixing websites.
A mix of senior in-house roles and freelance engagements.
Running a multi-client freelance practice: technical audits, content strategy, topical map development, and custom Python tooling. Clients span home renovation, legal services, telecom, and B2B SaaS verticals across the US.
Led the search program through a major KPI shift: restructuring content priorities and technical foundations to align organic search with the business's new monetization model.
Doubled organic traffic in 3 months for a large US automotive marketplace. Rebuilt the crawl and indexation framework across makes, models, locations, and filters. Defined indexing policy from scratch using GSC signals and crawl data. Built and led a 7-person SEO team across content and off-site work.
Led a full site migration with comprehensive 301 redirect mapping (chains capped to one hop, monitored via GSC and logs). Designed BOFU content architecture and full schema strategy. Built n8n + LLM automation workflows for brief generation, internal linking QA, and schema validation.
Built the search program from zero to ~3M monthly users over six years. Owned content architecture, technical foundations, and topical strategy across one of the largest visa information sites globally.
Tools and systems I've built for clients, and for SEO at scale.
Founder-led product I'm building. Extracts factual assertions from web content, computes semantic similarity, detects contradictions, and scores information quality. Built for the GEO/AEO era.
Three-layer Python pipeline for a home renovation client: search-value scoring, keyword cannibalization detection, and GPT-based topical proximity classification. Drives a YAML-driven topic map and a defensible content pruning roadmap.
A reusable audit system: 83-item Excel checklist implementing Glenn Gabe's kitchen sink methodology, paired with a Python GSC delta report tool (OAuth2, configurable date ranges, conditional formatting, CLI).
Public-facing UULE tool that lets anyone check local SERP rankings from any geographic location. Live on this site. Built from a problem I kept running into during client work.
Node.js/Playwright scraper targeting ~8,890 company profiles, feeding a Python enrichment script that uses the Claude API to extract structured company data and seed keywords.
Modular Python tool that builds an ontology-aware topic map for any site. Identifies cannibalization, traffic-collapsed clusters, and entity overlap across hundreds of URLs, reusable across clients.
I’ll show you what’s working, what’s not, and what to fix first, then help you execute it properly.
Let's have a chat