Among Us Youtubers - AI-Vetted Creators For Campaigns

Before - endless scrolling, spreadsheets, guessing who truly moves views. After - a compact, AI-vetted roster of Among Us YouTubers with audience breakdowns, fraud filters and one-click exports. The switch - IQFluence’s semantic AI discovery and real-time audience snapshot.

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Explore Top Among Us Creators For Your Next Campaign

We analyzed content, audience and engagement to surface a tight roster of among us youtubers — AI-vetted creators with clean audiences, engagement scores, geo and language splits, and one-click contact exports.

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To see all results (with even more data), start a free trial. Or, learn how to find YouTube influencers

For more targeted results search for YouTube bloggers based on your location or niche

FAQs

How fresh are the audience and performance metrics for these creators?

Metrics refresh continuously with a rolling 30-day window across key signals - followers, ER%, min/avg/max views and posting cadence. Paste a profile or open a list and stats refresh in seconds, giving you near-real-time, normalized snapshots for fair cross-platform comparisons.

Can I export these YouTuber profiles and audience data after signup?

Yes. After signing in you can export influencer profiles and audience data - Profile Analysis (PDF & JSON), Favorites CSV, Media Plan as a live Google Sheet, and Campaign exports (CSV/Excel). Exports unlock once you’re logged into the platform.

How does IQFluence normalize engagement and views across platforms?

We convert likes, comments and views into comparable signals by averaging the last-30-day activity and reporting ER% alongside posting cadence. Views are presented as min/avg/max bands from recent posts. Those normalized metrics let you compare creators fairly across Instagram, YouTube and TikTok.

Can I compare creators side-by-side across Instagram, YouTube, and TikTok?

Yes. IQFluence standardizes ER%, views (min/avg/max) and posting cadence across Instagram, YouTube and TikTok, so you can view creators in one grid, compare normalized metrics, audience gender/geo/language and refresh profiles in seconds for apples-to-apples decisions.

How do you verify that an influencer’s audience is not fraudulent?

We run multi-layer checks on creators and their followers - engagement scoring, audience makeup (gender/geo/language), growth patterns, last-30-day activity and anomaly detection. Semantic content matching and lookalike signals flag inorganic spikes so you see if reach and interactions match real, consistent behavior.

Can I build a media plan spreadsheet with apples-to-apples creator rows?

Yes. You can create a Media Plan as a live Google Sheet with creator rows aligned for direct comparison - followers, ER%, min/avg/max views, posts/mo, audience gender/age/countries, and outreach fields. The sheet is apples-to-apples for shortlist, approvals and team collaboration after signup.