How brands actually find creators worth working with
Most brands find creators the same way they find restaurants: scroll until something looks good. That works for dinner. It does not work for a $20,000 sponsored post.
The shortlist most brands work from is just the creators with the biggest follower counts in their category. The problem is follower count predicts almost nothing about whether a creator can move product. We have run programs where a 40,000-follower creator drove more revenue than a 1.2M-follower one in the same niche, same week, same brief. The difference was not luck. It was vetting.
The four signals that actually matter
At Influencer Advisory we score every creator on four things before we pitch them. None of them are follower count.
Audience overlap. Does this creator's audience overlap with the brand's customer demographic, or with the demographic of brands that have already converted off this creator? We pull the second one when we can, because past behavior beats predicted behavior every time.
Sponsored-post lift. What does this creator's last 10 sponsored posts look like in views, comment depth, and save rate compared to their non-sponsored content? A creator whose sponsored posts get 30 percent of organic views is going to underdeliver no matter what you pay them.
Repeat-brand history. Has any brand worked with this creator twice? Once is a test. Twice is a signal. Three times is gold. We rank repeat partnerships heavily because brands do not re-up if the first round did not pay.
Comment authenticity. Are the top comments from real accounts with real engagement, or from a tight cluster of bot-adjacent profiles? This is the cheapest fraud check there is, and most brands skip it.
The order matters
The order we run those checks in is also the order of cost. Comment authenticity is free and takes 90 seconds per creator. Sponsored-post lift takes 15 minutes and a spreadsheet. Audience overlap requires data we have built up over 3 years and is the hardest to replicate. Repeat-brand history comes from the same data set, plus calls.
If you are building this in-house, start with the free check first. You will eliminate the bottom 40 percent of any shortlist before you spend a dollar on the harder signals.
Why this is the whole job
The reason vetting matters this much is that briefs and budgets are interchangeable, but creators are not. Two brands with similar budgets and similar briefs will get wildly different outcomes if one of them is working with a creator whose audience actually wants the product. The vetting layer is where 80 percent of the campaign outcome gets decided. Everything after — brief, deal, asset review — is optimization on top of a foundation you cannot change.
This is also why most creator marketplaces underperform. They are sorted by follower count. They have no vetting layer. They put the optimization step in front of the foundation step.