YouTube Bloggers - AI‑Vetted Creators For Fast Growth
Hunting creators by guesswork drags weeks of DMs and dead-ends - our curated Top-20 list flips that: bloggers on YouTube chosen via semantic relevance, audience quality, geo and engagement filters, plus a 7-day free trial to analyze any creator.
How quickly do creator profiles and stats refresh in IQFluence?
Profiles and key metrics refresh in seconds after you paste a profile, with rolling 30-day views and other L30D stats kept current across the platform.
How do you compare YouTube creators side-by-side across platforms?
We normalize ER%, views and posting cadence across Instagram, TikTok and YouTube, then show side-by-side profile sheets: L30D ER, min/avg/max views, posts/mo, audience gender/age/countries, fraud flags and contact exports—so you can compare reach, engagement and audience fit in one grid.
Can I export a side-by-side creator shortlist to Google Sheets?
Yes. After shortlisting, export creator rows to a live Google Sheet - apples-to-apples L30D stats, audience buckets and outreach fields are populated so teams can review and approve in one shared sheet. Sign-in required for exports.
Does IQFluence provide real-time audience language and city breakdowns?
Yes. IQFluence shows live audience breakdowns by language and city in profile sheets and campaign reporting - pulled from rolling L30D engagement data so you can see current language and city mixes for verification and targeting.
Can I build a media plan with apples-to-apples creator rows?
Yes. Build a single Media Plan row-per-creator in Google Sheets with apples-to-apples L30D stats - followers, ER%, min/avg/max views, posts/mo, audience gender/age/countries, and outreach fields. Sign-in required; the sheet updates with standardized metrics so your shortlist is review-ready.
How does IQFluence detect audience fraud and engagement anomalies?
We run multi-signal checks on recent L30D behavior - sudden follower spikes, drops in median views, abnormal ER% versus cadence, audience geography/language mismatches, and duplicated accounts. Semantic context and engagement patterns flag anomalies; suspicious profiles get fraud flags so you can filter or exclude them.