Technical SEO
Search visibility as three compounding layers — Technical, Topical, and Trust. Skipping one caps what the other two can achieve.
The problem, usually invisible
A site can look finished — fast enough on a good connection, reasonable-looking pages, a few blog posts — and still be quietly losing the customers who searched for exactly what it offers. The things that actually decide whether a page gets crawled, understood, and trusted sit underneath the parts most redesigns focus on.
None of what's wrong shows up when you look at the site itself. It shows up in Search Console, in ranking position, and eventually in revenue that never gets attributed to a cause — which is exactly what the audit on the right is built to surface.
Core Web Vitals
Canonical tags
Content volume
Indexation
A growing share of searches now end without a click — answered directly in an AI Overview, a featured snippet, or a chat response from ChatGPT, Claude, Gemini, or Perplexity.
Still the foundation
Crawlability, indexation, Core Web Vitals, and topical depth remain the foundation — none of the AI-search layer works on a site that classic search can't crawl and trust in the first place.
The newer layer
ChatGPT, Perplexity, and Google's AI Overviews favor content that answers a question directly, in a self-contained chunk, with clear entities and structured data — which is why our own site ships an llms.txt and structures pages the same way. See it in practice on the AI hub.
Methodology
Search visibility as three compounding layers, where skipping any one caps what the other two can achieve. Skip one layer and the other two have a ceiling on what they can achieve.
The floor everything else stands on.
Core Web Vitals measured from real field data (not just a one-off lab score), crawl-budget waste, indexation hygiene, and canonical conflicts. If a page can't be crawled, rendered, and indexed cleanly, nothing built on top of it compounds.
Depth a single article can't fake.
A pillar-and-cluster content model mapped against real search demand — not a folder of disconnected posts. Topical authority is judged on whether a site covers a subject completely, not on how many pages it has.
The signal that survives an algorithm update.
Person and Organization schema, sameAs consistency across real, verifiable profiles, and authorship signals that hold up to scrutiny — the E-E-A-T layer that keeps rankings when the other two layers stop being enough on their own.
This methodology is the same one behind our own site architecture — not a description of a service performed elsewhere.
A full technical pass — Core Web Vitals field data, crawl logs where available, indexation status in Search Console, canonical and redirect chains.
Findings ranked by expected impact and effort, not fixed in the order they were found — a broken canonical on a high-traffic page outranks a missing alt tag on a low-traffic one.
Technical issues resolved first. Topical and trust work compounds on a technically sound site; it stalls on a broken one.
Pillar and supporting content mapped to real search demand and internally linked so the whole cluster reinforces a small number of pages, not thirty pages competing with themselves.
Structured data planned per content type — Person, Organization, Article, FAQPage, BreadcrumbList — connected through consistent @id references, not copy-pasted boilerplate.
Search Console and field Core Web Vitals tracked on a defined cadence, with technical fixes expected to show up in weeks and topical authority expected to compound over months.
T³ Model
Technical–Topical–Trust
60+
Websites delivered
1
Linked structured-data graph per site, not per-page fragments
Real, anonymized engagements where this methodology was applied — never a hypothetical.
Both — an audit of an existing site is usually the starting point, since technical debt has to be understood before topical or trust work can compound on top of it.
Next.js and React by preference, plus WordPress and Shopify where that's the right fit for the business.
Technical fixes can show up in Search Console within weeks; topical authority from a content cluster compounds over months.