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Analyze how influential a domain is in AI citation graphs

DomainInfluence Analyzer

Analyze how influential a domain is in AI citation graphs by mapping its strongest neighbour edges. Why this matters →

Domain Influence Analyzer
Authority

74

Reach

27

Influence

55

Strongest graph edges

wikipedia.org
weak signal20
reuters.com
inbound + outbound citations61
ahrefs.com
weak signal36
searchengineland.com
weak signal16
techcrunch.com
weak signal34
reddit.com
inbound citations55

How it works

Enter a domain. The tool simulates its six strongest neighbour edges in the AI citation graph, computes the reach and combines it with authority into a composite influence score.

Influence beats authority

  • Assistants walk the citation graph to verify claims - being connected to tier-1 neighbours lets you borrow their trust, even if your own score is modest.
  • An isolated tier-2 domain underperforms a connected tier-3 domain by a wide margin - your placement strategy should prioritise graph position over raw DR.
  • Inbound + outbound edges are 2x stronger than inbound alone because they prove mutual trust between the two domains.

Build graph presence

Use the Citation Opportunity Finder to target the neighbours that would boost your influence most, and the Knowledge Graph Presence Checker to confirm you're discoverable.

Want this done for you?

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