Multi-location SEO architecture
What this page covers
Multi-location SEO architecture is how your hubs and local pages are structured, linked, and exposed to search engines at scale. Radar benchmarks show that this structure has a direct impact on crawl coverage, indexation, and overall SEO performance.
In Radar visuals, domains are mapped into hubs and leaf pages with metrics like total nodes, hubs, leaves per hub, and depth. This makes it easy to see whether your multi-location site is shallow and well-connected or deep, fragmented, and hard for crawlers to discover.
On this page you can explore how to design scalable architectures for franchises, healthcare, professional services, and other multi-location brands, and how Radar can help you diagnose, compare, and improve your structure over time.
What to choose
- Compare your current hub and leaf structure to Radar benchmarks, including counts of hubs, leaf pages per hub, and depth, to see whether your architecture is supporting or limiting SEO results.
- Focus on multi-location use cases such as franchises, clinics, or service networks where some locations rank well and others are nearly invisible, and you need a clearer structural picture.
- Use Radar as a structured diagnostic layer to see how your public site architecture, local hubs, and access patterns line up with real search demand across cities, services, and buyer scenarios.
Where to go next
Below is a set of focused guides on multi-location SEO architecture, from franchise and healthcare structures to technical audits. Each page goes deeper into how hubs and local pages can be organized for that specific business model.
Use these pages to plan scalable city and service structures, avoid thin or repetitive local pages, and connect architecture decisions with Radar diagnostics so you can track visibility and coverage across all locations.
What matters
- Radar benchmarks show how different domains perform structurally, with examples like gatech.edu scoring 84 out of 100 across more than three thousand pages in the US education SEO cluster.
- The same benchmarking view highlights other sites, such as vanderbilt.edu with 76 pages and a 56 out of 100 score, making it easier to compare hub and leaf patterns, depth, and coverage across properties.
- These structured diagnostics help multi-location and service brands see how hubs, leaves, and depth affect SEO, and where architecture changes can improve crawl coverage and visibility across locations and services.