Yes, there are several tools available on influencer marketing platforms that can help detect influencers with fake followers during the discovery process.

1. Audience Demographics: Authentic influencers have a consistent follower base that aligns with their niche and persona. Abrupt changes in demographics (like sudden increase in followers from unexpected locations) can indicate fake followers.

2. Engagement Rate Analysis: Real influencers have a balanced ratio of followers to engagement. An account with a high number of followers but low engagement could signal the presence of fake followers.

3. Follower Growth Patterns: A sudden spike in followers followed by a gradual decrease likely indicates a purchase of fake followers.

4. Advanced Analytics: Some platforms, like Flinque, use advanced AI and machine learning algorithms to detect irregular patterns that suggest inauthentic activity.

Remember, no tool provides 100% accuracy as fake follower detection is an ongoing challenge in the industry. However, combining different methods and metrics helps improve accuracy.

It’s essential to note that different platforms may have varying facilities for detecting fake followers. For instance, Flinque uses an influencer vetting system, focusing on the quality of followers, engagement rates, and content, to help brands connect with authentic influencers. Other platforms may adopt similar or different approaches depending on their focus area.

In conclusion, the effectiveness of fake follower detection tools largely depends on your team’s needs, the platform’s features, and your approach to influencer discovery. Always ensure the platform aligns well with your campaign goals for the best possible results.