Technical SEO, Built on the T³ Model
Search visibility as three compounding layers — Technical, Topical, and Trust. Skipping one caps what the other two can achieve.
Scope, stated plainly.
- A full technical audit — Core Web Vitals (real field data, not just lab scores), crawl budget waste, indexation hygiene, canonical conflicts
- Topical gap analysis against real search demand, structured as a pillar-and-cluster content model
- E-E-A-T work — Person and Organization schema, sameAs consistency, authorship signals
- Structured data planned per content type (Person, ProfilePage, Article, FAQPage, Breadcrumb), not generic boilerplate
- AI-crawler-aware technical setup — robots.txt and content structured to be retrievable by answer engines, not just classic search
The Technical–Topical–Trust (T³) Model
This exact site is the working example — the pillar page, this cluster of service pages, and the 20-post blog are all built on the model described below.
Technical
Core Web Vitals, crawl budget, indexation hygiene, canonicalization, and structured data — the infrastructure layer that determines whether content can be discovered and rendered at all.
Topical
Pillar-and-cluster content architecture and entity-based keyword mapping, so a site demonstrates real depth on a subject instead of scattered, unrelated pages.
Trust
E-E-A-T signals: author identity via Person schema, consistent entity data across the web, and backlinks from relevant, credible domains — not bulk-acquired links.
Verified, not just claimed.
This page, the pillar page it supports, and the 20-post blog behind it are themselves the technical SEO deliverable in action — not a description of a service performed elsewhere.
Detailed writing on this exact topic.
FAQ
Both — an audit of an existing site is usually the starting point, since technical debt (crawl issues, poor Core Web Vitals, missing schema) has to be understood before topical or trust work can compound on top of it.