The chatbox now decides who gets cast in a brand campaign before a talent agency hears the brief, because AI engines check a documented public record rather than counting followers. Volume II of the AI Casting Index shows MrBeast and Alix Earle cracked the top ten by building exactly that record.
How Did the First AI Casting Index Change What Gets Cast?
Volume one of the AI Casting Index, published with 5W AI Communications, ran 75 casting prompts across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews and found 24 of the 25 most-recommended campaign faces were actors and athletes. Exactly one creator made the list. Volume two measured the cause, name by name. The chatbox does not count followers. It checks a public, machine-retrievable record: brand-deal history, tracked endorsements, tier-one press. The figures that have one get recommended. The figures that do not are not in the answer at all.
Why Do MrBeast and Alix Earle Outrank Bigger Creators?
Two creators in the study broke through into the documented top tier: MrBeast at a Documentation Score of 90, and Alix Earle at 81, both inside the top ten of an index otherwise wall-to-wall A-list athletes and actors. They got there the way an athlete does, by accumulating a record the world can find. MrBeast has 28 tracked brand deals, a Salesforce Super Bowl spot, Feastables on Charlotte Hornets jerseys, and a real holding company behind him. Earle has 59 tracked endorsements, coverage in The Times, Fortune, and The Hollywood Reporter, a Frame collaboration, a Poppi co-development, and her own skincare brand. The chatbox has more retrievable material on either of them than on most working actors.








