Murrough Foley
Technical SEO consultant and researcher with 15+ years of experience in search engine optimisation, web data extraction, and applied machine learning. I build open-source tools in Rust for web content extraction and page-type classification, and publish research on content quality signals and how they correlate with Google rankings. Author of rs-trafilatura and the web content extraction benchmark WCXB.
Technical SEO
Crawl optimization, site architecture, and indexing strategy — the infrastructure decisions that determine whether your pages get found. I’ve spent 15 years working on this across sites from small local businesses to multi-region platforms with millions of pages.
Web Content Extraction
I built rs-trafilatura because existing tools fall apart on anything that isn’t a blog post. Page-type-aware extraction with ML classification, confidence scoring, and markdown output. Benchmarked against 14 extractors on a 2,008-page dataset.
Web Content Analysis & Grading
Can LLMs score content quality the way Google does? I built rubrics based on signals from the Google API leak — contentEffort, originalContentScore, page2vecLq — and tested them against 44,000 SERP results. Short answer: topical coherence predicts rank, but domain authority is 10x more important.
Semantic Topical Analysis
Topical authority, entity relationships, and content gap analysis. Google evaluates topical focus mathematically — using signals like siteRadius and page-level embeddings. Understanding how your content maps to these structures tells you where you have depth and where you’re spread too thin.