Scan our shortlist - 1) map campaign goals and target markets, 2) meet the biggest automotive youtubers we vetted for content fit, audience quality and geo-match, 3) launch with tracked creatives and benchmarks; start a free 7-day trial to analyze any creator and convert faster.
Discover Top Automotive Youtubers For Faster Growth
We curated this Top-20 roster of top automotive youtubers - handpicked by semantic relevance, audience quality, fraud filters and engagement benchmarks.
We flag unnatural activity using audience signals and behavior patterns - subscriber geography vs. claimed markets, sudden subscriber spikes, low view-to-subscriber ratios, repeat engagement anomalies and bot-like comment patterns. We combine engagement normalization (L30D ER%, views, cadence), audience demographics and semantic relevance to score and surface likely fraud.
We roll metrics over the last 30 days — that’s our comparison window. Paste a profile and the dashboard refreshes in seconds, and views/engagement numbers keep updating across that L30D span so you get a fresh, apples‑to‑apples snapshot every time you check.
Yes. After signup you can export shortlisted YouTube creators and their audience reports. Exports include Profile Analysis (PDF & JSON), saved lists (CSV) and a live Media Plan Builder (Google Sheet). API endpoints also let you pull profile, audience and performance data for integration.
Yes. We standardize Instagram, TikTok and YouTube metrics - ER%, views, posting cadence and audience demographics - so you can view creators in a single grid, compare apples-to-apples, and export side-by-side rows into a live Google Sheet after signup.
Selected creators export as live rows into a Google Sheet that updates with L30D stats. After signup you push shortlisted profiles to the Media Plan Builder - it creates a sharable Sheet with normalized ER%, min/avg/max views, posts/mo, audience buckets and outreach fields, kept live for team edits.
We convert platform-specific signals into common units - L30D ER% (likes+comments relative to followers with cadence context), min/avg/max views from recent posts, and posts/month. These normalized fields let Instagram, TikTok and YouTube rows sit side-by-side for fair apples-to-apples comparison.