We start like scientists and end like talent scouts. First, pick the child-age bands and geos you care about, then run semantic scans on bios, tags and video transcripts to narrow relevance. We toss suspect accounts with fraud flags, check reachability/contact data, and pull last-30-day ER and view bands (normalized). Quick glance at recency and growth weeds out one-hit wonders. The shortlist ranks creators by steady engagement and audience quality—that’s how we surface the top kid youtubers most likely to convert.