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Audit TikTok creators with AI agents

Score TikTok creators on real video views, audience authenticity, and content focus in 30 seconds. Filter out paid-views accounts before you spend on a campaign.

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100

Four sub-scores. One verdict.

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

Reach

40% weight

Follower count, median video views, and engagement-per-view. Bought views collapse this score even if follower count is high.

Audience

30% weight

Sampled follower authenticity and account-age patterns. Surfaces follower farms common on TikTok.

Content

20% weight

Niche concentration of top topics across recent videos. Single-niche creators outscore variety accounts for brand fit.

Conversion

10% weight

Bio links, brand mentions in captions, and CTA cadence in video text overlays.

Red flags we surface for TikTok creators

View count inconsistent with follower base
Comment-to-view ratio below platform median
Sudden follower spikes from non-organic sources

How it works

From TikTok handle to verdict in 30 seconds

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

Step 01

Paste a TikTok handle or link

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

Step 02

We pull videos and followers

100 recent videos, a sample of followers, 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 TikTok sponsorship workflows

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

Consumer brand teams

Vet TikTok creators before signing a multi-video deal. Real views matter more than follower count.

Agencies handling TikTok Shop campaigns

Batch-score affiliate creators by audience authenticity and conversion intent.

AI agents

Same JSON shape, drop-in for Claude, Hermes, or any LLM workflow.

FAQ

TikTok audits, answered

We pull 100 recent videos and a follower sample, run an LLM analysis over engagement and audience signals, 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-follower ratios, comment-to-view ratios, engagement timing, and follower authenticity together surface accounts with purchased reach. These show up as red flags and lower the Reach sub-score.

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

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