By Mohammad Owais
November 29, 2025
YouTuber Romayroh recently posted a significant warning for creators: YouTube’s latest algorithm overhaul is now powered directly by Google’s Gemini AI model, ushering in rigid new standards for authenticity, creator identity verification, and content quality. In his analysis, he says Gemini is now playing the central role in evaluating videos, determining channel legitimacy, and deciding whether content will remain monetized or even allowed on the platform.
Romayroh said that the update rolled out roughly two weeks before his report, around the same time many creators began experiencing sudden demonetization or account terminations.
Gemini Takes Over YouTube’s Content Evaluation
According to Romayroh, Gemini does not give much weight anymore to traditional signals such as video tags, title optimization, or metadata. Instead, the model focuses on:
- What creators say in the video
- How they say it – including tone, emotion, and delivery
- What visually appears on screen
- Whether the creator is human or AI-generated
Gemini’s analysis includes the emotional tone of the video – for instance, detecting whether a creator is being sarcastic, angry, sad, or enthusiastic.
Romayroh says this evolution marks YouTube’s strongest attempt yet to combat AI-generated content farms and automated video production.
The New Critical Factor: The “Trust Score”
The biggest change, Romayroh says, is the addition of a Trust Score, a background metric intended to demonstrate to Gemini that a channel is run by a human.
He warns that:
- Views and subscribers are irrelevant now.
- A low trust score can trigger instant demonetization.
- YouTube may completely cancel the channel in severe cases.
This crackdown, he says, reflects YouTube’s effort to protect the platform from bot-driven content factories, AI clones, and low-quality mass production.
Following are eight ways to maximize trust scores, according to Romayroh:
Romayroh enumerates eight steps he says are crucial to surviving the new ecosystem, especially for starters.
- Use Aged Accounts — Not Brand-New Emails
YouTube reportedly views brand-new accounts as suspicious. Romayroh advises:
- Use a channel that is at least five months old.
- Link it to a personal email with real watch history.
- Subscriptions to YouTube Premium, Google One or Workspace help build legitimacy.
- Avoid posting daily from a brand new, empty account
- Use a Personal Name, Not a Brand Name
Channels with someone’s name on them, he says, are a safer bet than brand-style names.
- Use a selfie or human profile picture
- Avoid faceless branding for new channels
- Link Real Social Media Accounts
To prove the channel belongs to a real human, Romayroh suggests linking:
- X (formerly Twitter)
- A simple personal website
All accounts should bear precisely the same name as the YouTube channel.
- Add a Human, Transparent Channel Trailer
According to Romayroh, Gemini first reviews the channel trailer when evaluating monetization and reused content.
He advises creators to:
- Explain who they are.
- Describe how the channel is made.
- Outlining the process of editing, scripting, or research
If a channel gets demonetized, for instance, YouTube often asks for a behind-the-scenes video that details the workflow. A good trailer serves as proactive proof of originality.
- Do NOT Upload Daily at the Beginning
Daily uploads from a new channel reportedly appear automated.
- Romayroh says,
- Post every 2–4 days to start
- Focus on impressions, not just views
Benchmark: After 15 videos, the benchmark will be at least 100,000 impressions.
Under 100,000 impressions may signal low trust or weak ideas. Only once the threshold is passed, creators can move to daily uploading.
- Descriptions Should Be Informative and Educational
Instead of keyword stuffing, the descriptions should include:
- 5–6 sentences summarizing the topic
- Information Gemini can utilize to clearly outline the context.
- Educational elements, not fluff
Romayroh says Gemini “rewards” informational clarity because it reflects real research rather than automated generation.
MCNs Become a Major Trust Score Booster
Romayroh says joining a reputable Multi-Channel Network (MCN) can dramatically increase trust. He likens MCNs to “record labels for YouTubers.”
Why MCNs help:
- They have direct communication lines with YouTube.
- They can prevent wrongful terminations.
- They help creators get more exposure.
- They intervene in cases where bots, like the recent circumvention bot glitch, have incorrectly terminated accounts.
But MCNs are selective.
Because each terminated partner gives an MCN a strike and 10 strikes remove the network entirely, MCNs accept only:
- The original content–
- Guideline-safe creators
- Channels providing good identity verification
- A New Era of Human-Proof Content Creation
Romayroh concludes that success, under YouTube’s new Gemini-powered system, is fundamentally measured differently.
Under the new algorithm:
Authenticity is more important than keywords.
Personality is more important than branding. More important than frequency is depth and transparency. Human identity is more important than anything else.
To creators who base their work on automation or anonymous content, the change may prove difficult. For creators building with trust, identity, and originality, the update can provide long-term stability.
