Ghost Creators: The Psychology Behind Rented Authenticity

There is a new label doing the rounds in creator marketing, and it has nothing to do with AI avatars. It’s the ghost creator: a real human being hired to make content to a hyper-specific brief, usually under a pseudonym or an anonymous persona that never links back to their actual identity.

Digiday’s explainer on the trend follows a September 2 Semafor report describing how ghost creators were used to pile up hundreds of thousands of views on politics-focused YouTube channels, with actors reading repetitive scripts that appeared to be LLM-generated. The report named Virelox, a content company reportedly co-founded by Chris Chan, which offered brands help going viral by spinning up creator accounts. Per alleged posts from Chan, the operation was shipping “2,500 organic videos every week” as of last August, and reportedly ran more than 106 YouTube accounts by April this year. Virelox also reportedly posted a July casting call on Backstage seeking an on-camera spokesperson for a news-style YouTube channel.

Not faceless, not AI. Something trickier.

Ghost creators overlap with faceless accounts and AI content, but they aren’t the same thing. Julian Valdy, the app builder behind THE QUEST, which runs a farm of 60 TikTok accounts, told Digiday he sees a ghost creator as a “content operator” and that “ghost” describes the arrangement, not whether a face appears on screen. His sharper line: brands are paying for the ability to create and reach, not for an audience that already exists.

That distinction matters. A wholly AI-generated influencer trips the audience’s fakeness detector. A real person, occasionally using AI tools, reading a brand-written script under an invented name, does not.

Why this works on the brain (and why it’s fragile)

Creator content converts because of three psychological levers, and ghost creators only rent two of them:

• Social proof by proxy: we treat peer-style content as evidence rather than advertising, because it doesn’t look paid.
• Source credibility: persuasion research is unambiguous that perceived expertise and trustworthiness move attitudes more than message polish. A pseudonym has no track record to trust.
• Parasocial accountability: we believe creators partly because they have skin in the game. Reputation is collateral.

Jeremy Carrasco, director at Riddance, described ghost creators bluntly: “They’re pretty replaceable.” You spin up many, hope one hits, then kill the campaign. That’s a volume strategy, and volume is exactly what erodes the illusion of spontaneity when the same script surfaces across dozens of accounts.

The followers fallacy is real, though

The most useful idea in the Digiday piece comes from Joseph Perello, founder and CEO of Props Media Platform, who calls out what he terms the “followers fallacy” – the assumption that a creator’s value is mostly the audience they bring. Credibility and distribution, he argues, are two separate assets that brands no longer have to buy as a bundle. Pick creators for expertise and storytelling, then pay media to put that story in front of the right people.

That is a genuinely smart unbundling. It is also where the ethical line sits. Perello draws it at identity: strip the creator down to something interchangeable and anonymous, and you remove the very thing that made creator media persuasive in the first place.

What marketers should actually do

Carrasco described the workaround as “reverse-centauring” AI content – a human doing the last mile of an automated pipeline so it clears platform filters. He also noted that clearly labelled AI influencers in ads are the more honest route, because audiences don’t demand that everything be real; they demand to be able to tell.

So: use small creators, absolutely. Pay for craft rather than follower counts. But keep the human name attached, let creators write in their own voice, and never run one script through many invented identities. Valdy notes marketers have effectively done this for years under friendlier labels like ambassador programmes. The difference now is scale, repetition and anonymity – and those three together are how a trust asset turns into a reputation liability.

Source: Digiday