SEO
A framework for treating search visibility as three compounding layers — not a checklist, a dependency chain.
Technical SEO is the practice of ensuring a website's infrastructure — crawlability, indexability, site speed, structured data, and mobile rendering — lets search engines and AI crawlers access, understand, and trust its content. It is the foundation layer: no amount of great content or trust signals compensates for a site an engine can't properly read.
An SEO framework treating search visibility as three compounding layers — technical infrastructure, topical content depth, and E-E-A-T trust signals — where skipping any one layer caps what the other two can achieve.
Core Web Vitals, crawl budget, indexation hygiene, canonicalization, and structured data — the infrastructure layer.
Pillar-and-cluster content architecture and entity-based keyword mapping, demonstrating real depth on a subject.
E-E-A-T signals: author identity via Person schema, consistent entity data across the web, and backlinks from relevant, credible domains.
4.9M / 31,000
Impressions and clicks on a single Arcetis-managed property over 16 months in Google Search Console, at an average position of 7.5 — the T³ Model applied, not just described.
Technical SEO ensures search engines and AI crawlers can access, render, and index a site at all — crawlability, speed, structured data. Content SEO (what the T³ Model calls the Topical layer) is about depth and coverage of a subject once that access exists. A technically broken site gets no credit for great content, no matter how deep it is.
E-E-A-T — Experience, Expertise, Authoritativeness, Trust — is Google's framework for judging whether content and its author can be trusted, especially on topics that affect people's money or wellbeing. The T³ Model's Trust layer operationalizes this directly: real author identity via schema, consistent entity data, and credible backlinks.