CollabPal now audits creators on X, Instagram, TikTok, YouTube, and LinkedIn
One endpoint, one scoring model — five major platforms. Today we're rolling out full audit support across every channel that matters for creator sponsorships.
Reach, Audience, Content, Conversion — what each sub-score actually measures, how they're weighted, and why follower count doesn't get its own bucket.
Every CollabPal audit returns a 0–100 composite. That number is the weighted sum of four sub-scores — each one designed to answer a specific question a sponsor would ask before paying for a post.
Reach is how many eyes actually see what this creator posts — not how many people clicked follow at some point. We blend log-scaled follower count, median impressions across recent posts, and engagement-per-impression. The impressions term is the one most third-party tools miss; without it, you can't distinguish a 100K-follower account averaging 200 likes per post from a 100K-follower account averaging 10,000.
Audience answers: are the followers real? We sample a follower set per audit and score authenticity using account age, follower/following ratios, posting velocity, and engagement signals. Sudden follower spikes that don't show up as engagement growth get penalized — that's the classic bought-followers signature.
Content is niche concentration. We extract the top 3 recurring topics in recent posts and measure what fraction of the feed lives in that cluster. A creator with 80% of their feed in one tight niche scores higher for sponsorship fit than a lifestyle generalist, because relevance compounds.
Conversion is commercial intent: CTA cadence, brand-mention frequency, bio-link presence, link-out patterns. The weight is intentionally small because over-optimizing for it produces feed-as-promo creators no one converts on.
Because follower counts are gameable and don't predict ROI. They show up inside Reach (log-scaled) and inside Audience (as a denominator for bot detection), but never as a standalone signal. The 5K-follower niche creator who outperforms a 500K generalist is the entire point.
The number of followers is the answer to 'how big was this creator one year ago.' The score we care about is 'how much of that audience still listens.'
One endpoint, one scoring model — five major platforms. Today we're rolling out full audit support across every channel that matters for creator sponsorships.
A command-line tool for AI agents to audit creators across platforms. Structured JSON, no SDK, drop-in for Claude, Hermes, or any LLM workflow.
Why follower counts stopped predicting ROI, what 'engagement pods' did to the data, and the gap we built CollabPal to close.