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Audit YouTube creators with AI agents

Score YouTube creators in 30 seconds on real subscriber engagement, watch-time signals, and niche concentration. Surface red flags before sponsoring a mid-roll.

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100

recent uploads analyzed

View

vs subscriber ratio scored

30s

average audit time

0–100

structured score returned

What we measure

Four sub-scores. One verdict.

Each YouTube audit returns four weighted sub-scores that combine into a 0–100 composite and an S/A/B/C tier.

Reach

40% weight

Subscriber count, median view count, view-to-subscriber ratio. Captures real audience size, not subscribe-and-forget churn.

Audience

30% weight

Comment authenticity, like-to-view ratio, and subscriber-engagement pattern detection.

Content

20% weight

Niche concentration across recent uploads. Tech reviewers outscore variety vloggers for tech brand fit.

Conversion

10% weight

Description links, sponsorship cadence in recent videos, and end-screen CTA patterns.

Red flags we surface for YouTube creators

View counts collapse against subscriber count
Comment authenticity below platform median
Sponsored content density above sustainability threshold

How it works

From YouTube handle to verdict in 30 seconds

Three steps, one API call, no SDK to install.

Step 01

Paste a YouTube handle or link

Drop a creator's YouTube profile URL or @handle in the dashboard — or hit /api/score from your agent.

Step 02

We pull videos and subscribers

100 recent videos, a sample of subscribers, and an LLM pass over both — bot detection, niche focus, brand mentions, and red flags.

Step 03

Return a structured 0–100 score

Four sub-scores (reach, audience, content, conversion), red flags, suggested CPM, and a shareable report URL. Same JSON shape as every other platform.

Who it's for

Built for YouTube sponsorship workflows

Used by brand teams, agencies, and AI agents to vet creators before money changes hands.

Brand teams sponsoring mid-roll integrations

Vet YouTube creators before locking in a 4-figure spend. Real engagement beats vanity subscriber counts.

Agencies

Batch-score creator shortlists by tier, filter, and route to outreach.

AI agents

Same JSON shape as every other platform — drop-in for any LLM workflow.

FAQ

YouTube audits, answered

We pull 100 recent uploads and engagement signals, run an LLM analysis over comment quality and audience patterns, and compute four weighted sub-scores (Reach 40%, Audience 30%, Content 20%, Conversion 10%). Composite rounds to 0–100 and maps to a tier S/A/B/C.

Yes. View-to-subscriber ratios, comment authenticity, and like-to-view ratios together surface accounts where the subscriber number doesn't match real engagement. Channels with collapsed view rates get flagged.

Each audit hits the platform live, so the data is as fresh as YouTube allows. Reports cache by channel ID for 24 hours.

Other platforms