How to Vet an Influencer Before You Pay Them: A Brand's Checklist

Most brands still vet influencers the way they did in 2019: check the follower count, glance at a few recent posts, maybe skim the comments for anything obviously spammy. That's not enough anymore. A 2026 audit of 100,000 Instagram and TikTok accounts found that more than a third showed signs of fake or purchased followers, and a separate cross-market survey of 1,400 marketers found that 81 percent had run into influencer fraud in the past year. The tools to fake influence have gotten better, so the checklist has to get better too.

Start with median, not average

This is the one brands get wrong most often, and it's worth fixing before anything else on this list. When a creator sends you their average views or average engagement rate, ask for the median instead. Average gets dragged upward by one video that went unexpectedly viral, and a single outlier can make an otherwise mediocre account look like a strong bet.

Here's what that looks like in practice. A creator posts 20 TikToks a month. Nineteen of them get 3,000 views. One gets picked up by the algorithm and hits 400,000. Their average views per video comes out to roughly 23,000, which sounds impressive on a rate card. Their median, the number that actually sits in the middle of their typical performance, is 3,000. That's the number that tells you what your sponsored post is realistically going to get, because brands almost never buy the viral outlier post. You're buying the typical one.

Ask creators directly for median views and median engagement rate over their last 20 to 30 posts, not an average, and not a cherry-picked screenshot. If they can't produce it or push back on the request, that's information too.

Check where the followers actually came from

Fake followers are still the single biggest fraud category, accounting for more than half of reported quality issues in one recent industry survey. A few checks you can run without any paid tool: look at the follower growth chart for sudden spikes followed by flat periods, which usually means a bulk purchase rather than organic growth. Cross-check the ratio of followers to typical post engagement, since an account with 100,000 followers pulling consistent low-hundreds of likes is a mismatch worth asking about. And scan whether the follower count roughly matches what you'd expect from their actual reach on views, since inflated followers with flat views is one of the clearer tells.

Check whether the engagement is real

Fake followers are only half the picture. Engagement pods, purchased comments, and bot activity can make a small, mostly authentic account look artificially healthy too. Read the actual comments, not just the count. Generic one-word comments from accounts with no profile photo or posting history are a red flag. So is a comment section where the same small group of accounts appears on every post, which usually points to a pod rather than an organic audience. Genuine engagement tends to be messier: specific reactions, questions, disagreement, tagged friends, the kind of thing a bot script doesn't bother producing.

Check content and audience fit, not just numbers

A creator can pass every fraud check and still be the wrong fit. Look at whether their existing sponsored content actually resembles what you're asking them to make, since a creator who's never done a product demo may struggle with your brief regardless of their stats. Check their audience demographics against your actual customer, not just broad age brackets. And watch how they've handled brand partnerships before. Do they disclose clearly, does the content still sound like them, or does it read like a script they were handed.

Quick reference checklist

• Requested median views and median engagement rate, not average, across their last 20 to 30 posts

• Reviewed the follower growth chart for unnatural spikes

• Compared engagement rate against the typical benchmark for their platform and tier

• Read actual comments, not just the comment count

• Checked audience demographics and geography against your target customer

• Reviewed at least two past sponsored posts for tone, disclosure, and production quality

• Confirmed usage rights, exclusivity terms, and payment structure in writing before content is made

How GenZ Studio handles this

We run this checklist on every creator before they go into a client brief, and we send brands median performance numbers by default rather than whatever figure makes the creator look best. It slows the shortlist down slightly. It also means the campaign you approve is built on numbers that will actually hold up once the content goes live, not a best-case screenshot from six months ago.