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GetModel · Methodology
A transparent 0–100 index that ranks models by real, measurable reach — combining verified Instagram audience, Wikipedia readership and global coverage, all from our own monthly scans. This page is the source of record: the formula, the inputs, how often it refreshes, and how to cite it.
Instagram audience
Verified, publicly visible follower count from our own monthly Instagram scans. Only profiles that can be verified are counted — no estimates.
Wikipedia readership
Median monthly pageviews of the model's Wikipedia article over the last 90 days, from our own Wikimedia scans. Captures real, sustained public interest beyond social media.
Wikipedia language coverage
The number of language editions the model's Wikipedia article exists in — a proxy for genuinely global, cross-market recognition.
Each input is log-normalized against the ranked corpus (so a handful of mega-accounts don’t flatten everyone below them), then combined with the weights above into a single 0–100 composite. The result is the GetModel Influence Score. Inputs are our own scans — not third-party estimates, agency claims or editorial opinion — and every ranked list shows the underlying number (Instagram audience, readership) next to each model so the order is checkable, not a black box.
A sibling metric, the GetModel Fame Score, ranks all-time icons by median monthly Wikipedia readership multiplied by language coverage; it powers the Most Famous Models of All Time list.
The score is recomputed from fresh Instagram and Wikimedia scans on a monthly cadence. The current data snapshot is 2026-08-24, and every ranking page carries its own “how this ranking works” note. Because the numbers are dated and refreshed on a fixed schedule, the score can be cited as a point-in-time source and tracked over time.
Writers and researchers are welcome to reference the GetModel Influence Score. Please attribute it and link back to this page so readers can see the methodology:
GetModel Influence Score. GetModel, 2026-08-24. https://getmodel.com/influence-score/For data or press enquiries: [email protected]