Channel Authenticity Check
Vet a YouTube channel for fake views, bot comments, and non-organic engagement before you book a sponsorship. Returns a 0–100 authenticity score with ranked red-flag findings — calibrated on real bought-view and comment-farm investigations.
Know whether a channel’s audience is real — before you spend a dollar on it.
Why the score holds up
A score is only as good as what it’s measured against. This one is checked against Firebolt’s 8.5B video snapshots — the real view curves of the 1,302,318 channels we track — so “this spike isn’t organic” means it doesn’t look like real channels in the same niche, not a hunch. The comment read runs over the transcripts and engagement already sitting in Elasticsearch, and the peer baseline is built from actual niche neighbors, not a generic benchmark.
We’ve also seen the failures up close. Across eight years and 26,142 sold deals, we’ve run the post-mortems on sponsorships that underdelivered — the bought-view campaigns, the comment farms — and that history is what the red-flag rules are calibrated on. Point the skill at a deal you already ran and it audits the views you paid for against that same record. It’s the data moat aimed at one question: is this audience real?
Vet this YouTube channel for fake views and bot comments before I sponsor it: youtube.com/@mkbhd Hand Claude a channel handle, URL, ID, or name. It runs the full audit and hands back an authenticity score.
How it works
- CollectPull the channel's recent videos, view curves, engagement, and comments.
- CompareMeasure them against a niche-matched peer baseline to surface anomalies.
- Read commentsClassify the audience: genuinely engaged, or templated, bot-like, and spam.
- ScoreReturn a 0–100 authenticity score with ranked red flags and a clear verdict.