Gd Youtubers - Fast-Track Creator Matches

1 - Scan our AI-vetted shortlist for semantic fit and topical reach; 2 - Center on creators whose audiences pass fraud checks, engagement scoring and demographic filters; 3 - Export contacts and launch tracked campaigns - faster match-to-activation so founders and CMOs hit growth targets without the discovery grind.
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Discover Top GD YouTubers For Rapid Brand Growth

We vetted gd youtubers by semantic relevance, audience integrity and engagement benchmarks - browse this Top-0 shortlist, export contacts and launch tracked campaigns fast.
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FAQs

How fresh are influencer metrics and how often do profiles refresh?
Metrics roll on a rolling 30-day window and refresh in seconds when you paste a profile or open a page. Key stats - ER%, min/avg/max views, cadence and audience snapshots - reflect the last 30 days for fair cross-platform comparisons and immediate verification.
How do you normalize ER% and views across Instagram, YouTube, and TikTok?
We standardize each platform’s last-30-day signals into comparable units - ER% is computed as recent likes+comments relative to followers with posting cadence context; views use min/avg/max bands from recent posts. That normalized set lets you compare ER%, view ranges and cadence apples-to-apples across Instagram, YouTube and TikTok.
Can I export creator contact details and media plans after signup?
Yes. After you sign in, exports are unlocked: creator contact fields (email, WhatsApp, phone, Skype, Kakao, WeChat, Viber) plus saved lists (CSV), profile analyses (PDF & JSON) and a live Media Plan Builder (Google Sheet). API endpoints also let you pull profile/audience and performance data.
Can I compare creators from Instagram, YouTube and TikTok side-by-side?
Yes. We display Instagram, YouTube and TikTok creators in one standardized grid with last-30-day ER%, min/avg/max views, posting cadence and audience breakdowns - all normalized so you can review, rank and shortlist creators side-by-side for fair, cross-platform decisions.
What filters verify an audience’s location, language, age and gender?
We combine creator-side signals and audience sampling: filters include creator & audience location, audience language, age buckets and gender. These use semantic bio/hashtag matches, audience-market sampling, fraud detection and engagement patterns over the last 30 days to verify who actually follows and engages.
How do you detect fraudulent or inauthentic followers in audiences?
We flag inauthentic audiences by sampling recent 30-day engagement and follower signals: pattern anomalies (spikes, repeat accounts), low reachability vs. follower counts, engagement dispersion, geography/language mismatches, and suspicious account behaviors. Those signals combine into an audience-integrity score used in shortlists.