Osrs Youtubers - AI-Vetted Creators For Campaign ROI
1 - Browse our AI-vetted shortlist, 2 - discover audience quality, fraud checks and engagement benchmarks in one click, 3 - pick ready-to-contact creators and launch faster — so founders and CMOs cut research weeks to hours and drive measurable ROI.
We analyzed content, audience and metrics to surface osrs youtubers who drive real views and conversions - review their engagement, geo, fraud checks and contact-ready profiles.
Metrics use a rolling 30-day window and refresh in seconds when you paste a profile. Key KPIs - ER%, views, posting cadence and audience snapshots - are normalized for fair cross-platform comparison and updated live across that L30D view.
Yes. After signing in you can export profile analyses, saved influencer lists, media plans and campaign data. Outputs include PDF & JSON for profile reports, CSV for favorites, a live Google Sheet for the Media Plan Builder, plus CSV/Excel for campaign monitoring and shareable dashboard links.
We convert each creator’s last-30-day likes/comments, views and posting cadence into comparable ER% and view bands by normalizing per-platform distributions - accounting for follower size and cadence - then report min/avg/max views and ER% on the same scale so Instagram, TikTok and YouTube rows can be fairly compared.
Yes. The Media Plan Builder gives you a live Google Sheet with standardized creator rows - subscribers, L30D ER%, min/avg/max views, posts/mo, audience gender/age, top markets and outreach fields - so you can shortlist, compare and approve creators side-by-side for apples-to-apples planning.
Yes. We flag likely fake subscribers and suspicious engagement using audience-quality signals, engagement consistency vs. one-offs, growth anomalies, bot-like activity and reachability estimates. Fraud indicators are shown on the profile sheet so you can verify fit in minutes.
Lookalike ranks creators whose audiences, themes and growth mirror a seed handle—audience similarity and behavioral match. Semantic digs into video context—titles, descriptions, transcripts—to find meaning-based topical fits and avoid false keyword matches. Use lookalike for audience twins, semantic for context-accurate content.