Nnabuike Precious – Technical SEO Specialising in Search Engine Behaviour Analysis and AI Search

I came to technical SEO through frustration with the gap between what the industry teaches and what search engines actually do.

Early in my practice, I followed the standard playbook, keyword density targets, link volume metrics, content-length benchmarks derived from correlation studies. The results were inconsistent in ways that generic SEO advice couldn’t explain. When rankings shifted, the explanations offered by the industry were retrospective narratives built around Google’s public announcements, not the underlying mechanisms.

That frustration pushed me toward primary sources. Google, Microsoft, and other search platforms file patents through the USPTO, not as marketing documents, but as legal technical disclosures. These filings describe, in precise engineering language, how their systems process documents, evaluate quality, extract entities, and determine relevance. They are the closest thing available to a technical specification for how search works.

The first patent that genuinely reoriented my practice was Google’s Phrase-Based Indexing system. It describes how Google evaluates co-occurring phrase patterns across documents, not individual keywords, but complete semantic units that appear together in topically coherent writing. Reading that patent, I understood for the first time why keyword stuffing produces diminishing returns while domain-specific, contextually rich writing performs consistently: the ranking system is designed to reward co-occurrence patterns that distinguish expert documents from assembled ones.

That realisation fundamentally changed my approach to SEO strategy. I stopped treating Google’s ranking behaviour as a black box to reverse-engineer from outputs and started treating Google’s patent portfolio as a primary research corpus. That is the approach I apply to every client engagement at Mackyclyde.