A page buried six clicks deep is a page AI may never reach. Internal linking topologyhow your pages connect and how deep they sit. Decides what a crawler actually gets to. Flatten the structure into clear hubs and spokes and your whole catalog becomes reachable; leave it deep and tangled and your best products hide at the bottom of a well.
- A page buried six clicks deep is a page AI may never reach; how your pages connect and how deep they sit decides what gets seen.
- Hubs and spokes: strong hub pages (home, key collections) should link out to the pages that matter, keeping them shallow.
- Depth kills. Crawl budget runs out before a deeply buried page is reached.
- Flatten the structure so every important page sits two or three clicks from home.
Crawlers do not have infinite patience or infinite budget. They start from your top pages and follow links outward, and the further a page sits from the entrance, the less likely it is to be reached, especially on a large catalog. Depth is not neutral. Every extra click between your homepage and a product is another chance the machine stops before it gets there.
Hubs and spokes
A healthy topology has shape: a homepage that anchors, hubs that organise (collections, your content clusters, major ranges), and pages that link up to their hub and across to their siblings. This is the mesh in practice. The goal is that no important page is more than a few hops from an entry point.
Why depth kills
Click depth is a proxy for importance in a machine’s eyes, and a practical limit on what it crawls. A product five or six clicks down reads as both hard to reach and, implicitly, less important, a double penalty. Worse, deep pages are where orphans hide, because the deeper a page is, the easier it is to accidentally cut its last link.
| Click depth from home | What it means for AI | What to do |
|---|---|---|
| 1 to 2 clicks | Reliably reached and re-crawled | Keep your key pages here |
| 3 to 4 clicks | Reached, but less often | Acceptable for the long tail |
| 5+ clicks | May never be reached | Flatten. Add hub links inward |
Flattening the structure
Shorten the paths. Link key products directly from hub pages, add descriptive cross-links between related items, and make sure collections actually point at their members. A flat, well-connected topology means a crawler can reach your whole catalog efficiently, which is the difference between a store that gets fully read and one that gets sampled.
A scan is a snapshot. Legibility drifts
A shallow, well-linked structure is never settled. A redesign reshuffles the menu, an app changes URL patterns, a bulk edit orphans a page, and the structure a crawler follows regresses silently while the storefront still looks perfect to you. Your catalog and navigation change weekly, so a clean, followable structure is a moving target, not a one-time pass. That is why serious stores measure, fix, and re-measure, and why we re-scan our own store on a schedule, in public.
Questions people actually ask
What is internal linking topology?
It is the overall shape of how your pages link together, including how deep each page sits from an entry point. That structure determines which pages a crawler can actually reach, since machines follow links outward from your top pages with limited budget.
How deep is too deep for a page?
There is no hard number, but every extra click between an entry point and a page lowers the chance a crawler reaches it, especially on large catalogs. As a rule, keep important pages within a few hops of the homepage or a major hub.
How do I flatten my site structure?
Shorten the paths to important pages: link key products directly from hub and collection pages, add descriptive cross-links between related items, and make sure collections point at their members. The aim is that no important page is buried many clicks deep.
See what a machine sees
You can't tell from your browser whether AI can read your store. You can find out in a few minutes. Run a free scan and see the exact layer the machine reads, and where you're losing the shortlist.
Sources: 2026 industry compilations on AI-search visibility; OpenAI (early 2026) on ChatGPT shopping queries; Adobe Analytics (2026) on AI retail traffic; Gartner (2024) on traditional search. Figures are third-party and current as of mid-2026; we publish our own benchmark data as our scan volume grows.