ScrubberDuck working with crawler research data

Collaborate With Scrubnet

Analyse live crawler behaviour and publish careful, useful observations

What collaboration means

Scrubnet works with SEO teams, agencies, developers, researchers and crawler operators who want to examine specific questions about search and AI bot behaviour. Public feeds and verified access logs provide a shared observational dataset; collaborators add site context, descriptive analysis and peer challenge.

Good collaboration topics

How a project works

  1. Define the question: agree a narrow observational question and the evidence needed to describe it.
  2. Select participating sites: add suitable volunteer sites to Scrubnet for free.
  3. Configure and observe: publish the relevant feeds and monitor crawler requests over an agreed period.
  4. Analyse carefully: separate access-log observations from indexing, ranking and visibility outcomes.
  5. Share what is useful: document the method, limitations and findings as a case study or tool.

Roles

Scrubnet provides

  • Custom feed infrastructure
  • ScrubberDuck collection and refresh logic
  • Live access logs and crawler verification signals
  • Technical implementation support

Collaborators provide

  • A clear research question and relevant context
  • Participating sites or crawler expertise
  • Analysis, review and interpretation
  • Transparent limitations and publishable learnings

What this is not

This is not paid distribution, a reseller programme or a promise of rankings, indexing, AI citations or traffic. Scrubnet is an independent research environment. Any visibility claim requires evidence beyond a crawler request.

Propose a collaboration

Email contact@scrubnet.org with the question you want to investigate and the sites or data you can contribute.