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Discovery service

Domain Crawling

Discover internal pages and links, inspect crawl outcomes, and explore the site as an interactive 3D architecture mesh.

What it does and why it matters

A domain crawl reveals how pages connect in practice. MemonaIQ extracts internal links, respects crawl boundaries, records page results, and builds a link-driven 3D mesh with readable spacing, directional neural signals, issue filters, and page-level evidence.

The output is intended to be inspectable. Status, redirect, timing, and destination evidence remain visible so a developer, SEO specialist, website owner, or security reviewer can understand why an item needs attention.

Benefits

Discover linked pages from a starting URL
Map inlinks and outlinks
Find crawl failures
Move, rotate, filter, and inspect site architecture in 3D

How the workflow works

  1. 1Choose a canonical starting URL
  2. 2Set page and depth limits
  3. 3Run the crawl
  4. 4Open the 3D architecture mesh
  5. 5Search, filter, and inspect priority relationships

Who it is for and common uses

Architecture reviews
Orphan-page investigations
Migration discovery
Documentation audits

Limits and mistakes to avoid

Unlinked pages require sitemap or external data

Login-protected content is outside a public crawl

Very large sites should be sampled before expanding limits

Related resources

Frequently asked questions

When should I use domain crawling?

Use domain crawling during routine website maintenance, before and after releases, and whenever traffic or search performance suggests that URLs are no longer behaving as expected.

Can I use domain crawling on a large URL list?

Yes. Start with a representative batch, confirm the settings and output, then increase the batch size. Lower concurrency when the destination responds with rate limits.

What should I do with the results?

Prioritize broken and unsafe outcomes first, shorten unnecessary redirect chains, verify the final destination, and export a focused CSV for implementation and follow-up.

Check your URLs with the evidence in view

Start with a small representative batch, confirm the results, and expand from there.

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