SEO research and implementation
Search systems, content quality, and SEO implementation.
I study Google Search documentation, ranking patents, search updates, and practical SEO problems, then turn the useful parts into clearer decisions for content systems, technical SEO, site architecture, structured data, and local visibility.
Primary sources where possible · Evidence and interpretation kept separate · No invented results
SOURCE
Patent · documentation · research paper
EVIDENCE
What the source actually says
INTERPRETATION
What may reasonably follow
IMPLEMENTATION
Practical SEO decision
What I study and build
Research led SEO work across search systems, content architecture, technical implementation, and local visibility.
Research
Google ranking patents, Search Central documentation, research papers, algorithm updates, AI Search, and ranking-system concepts.
Content Systems
Content quality, topic clusters, semantic SEO, entities, site architecture, internal linking, and section-level quality.
Technical SEO
Crawling, indexing, canonicals, redirects, XML sitemaps, JavaScript SEO, structured data, Search Console, and technical QA.
Local SEO
Google Business Profile, service and location page roles, local entities, local schema, reviews, local content systems, and local audits.
Research METHOD
How I approach search research
SEO advice is often presented as a rule before the evidence is clear. I start with the source, separate what it says from what can reasonably be inferred, and only then consider the practical implementation.
Start with the source
Patents, Google documentation, research papers, official announcements, and clearly attributed public evidence come first.
Separate the layers
I distinguish literal source language, supported inference, practical interpretation, and claims that cannot be confirmed.
Test the implementation
Useful research should lead to clearer decisions about content, architecture, technical SEO, schema, local visibility, or quality assurance.
State the limit
A patent, correlation, public case study, or industry opinion is not presented as proof of a guaranteed ranking outcome.
The goal is not to turn one source into a universal SEO rule. It is to make better decisions with clearer evidence.