Screen for authenticity before anyone reaches the shortlist. Check that engagement matches follower size, look for unnatural growth spikes and read whether comments are real or generic bot noise. Filtering suspect accounts out early is far cheaper than discovering the problem after you have paid.
How can a brand avoid shortlisting influencers who have fake followers?
The trick is to make authenticity a gate at the top of the funnel so fake-heavy accounts never make the shortlist in the first place. Several signals give inflated followings away. Engagement that is tiny relative to follower count is the classic tell, since bought followers do not interact. Sudden unexplained spikes in follower growth suggest a purchase rather than organic reach. And the comments matter more than the count, because real audiences leave specific, varied responses while bots leave generic filler or emoji spam. Reading a few posts by hand catches a lot. Doing this manually across dozens of candidates is slow, which is where a discovery platform earns its place. Flinque surfaces follower authenticity, audience quality and real engagement at the shortlist stage so suspect accounts drop out before you invest time or money. The honest caveat is that no check is perfect against sophisticated fraud so treat the signals as strong filters and confirm a borderline case yourself. Catching it early is the whole point.