Seekami AI Industry Influence Ranking Methodology

Seekami rank helps AI product teams narrow a creator research universe. It is not a follower leaderboard, truth score, third-party endorsement or promise of commercial performance.

Objective

The ranking estimates an account’s relative position in the public AI industry network and conversation, emphasizing relevance and explainability over one traffic metric.

Signals used

• Public identity and sustained subject matter;
• public relationships with AI researchers, founders, developers and creators;
• available reach, engagement and recent activity signals;
• data completeness, identity duplication and anomaly checks.

Scoring and review

Normalized signals contribute to a composite order. Dated ranking snapshots are reviewed for identity, anomalies and obvious classification errors. Exact weights and raw relationship data remain private to reduce gaming and copying.

Limitations

Public data changes and may be incomplete or delayed. Rank does not judge every post as true and does not infer private audience attributes. Recheck current information before outreach.

Update policy

Ranking pages identify their snapshot date. Material methodology changes will be reflected here and disclosed in subsequent Index releases.