Technical SEO audit for US website
What this page covers
Technical SEO audit for US website
A technical SEO audit for a US website should start with structure: pages, hubs, leaf pages, depth, scores, and grades across the site graph.
Radar benchmarks show how different US sites can be, from 356 pages in logistics to 10,007 pages in real estate and 5,723 pages in healthcare.
In brief
- Use the audit to see how many pages are in the website graph and how hubs, leaf pages, and depth are distributed.
- Review structural signals such as score, grade, page count, hub count, leaf count, leaf-to-hub ratio, and depth before choosing what to inspect next.
- Treat the result as a structure-focused SEO view, not a promise of rankings, traffic, leads, or conversion outcomes.
What to do
A Radar-style audit represents a website as a graph for SEO review. Benchmark fields include nodes, total pages, hubs, leaf pages, leaf-to-hub ratio, depth, score, and grade, making site structure easier to compare in a practical way.
The examples show why page count alone is not enough. Corcoran.com is listed with 10,007 pages and a 75/B score, while ucsfhealth.org is listed with 5,723 pages and a 100/A score. Both are large US sites, but their structural benchmark results differ.
A smaller benchmark can still be useful. Matson.com is listed with 356 nodes, 34 hubs, 321 leaf pages, a 9.4 leaf-to-hub ratio, depth p90 of 8, and an 81/B score, giving teams a compact view of site structure.
What to keep in mind
This page is for teams that want a technical structure view of a US website. It focuses on website graph visualization for SEO and on measurable structure signals available in Radar benchmark data.
It should not be treated as a complete SEO program on its own. The available signals describe structure, clusters, pages, hubs, leaves, depth, scores, and grades; they do not prove traffic forecasts, revenue impact, or ranking guarantees.
The benchmark examples span US logistics, real estate, and healthcare clusters. That range supports careful comparison across different website sizes while keeping the same core structure measurements in view.