Artificial Intelligence (AI) can play a significant role in influencer marketing by improving and assessing audience quality. Here’s how:

1. Audience Segmentation: AI can analyze and segment audiences based on interests, demographics, and behaviors. This helps in pinpointing a brand’s target audience with precision.

2. Influencer Matching: AI algorithms can match the right influencers with the right audience, ensuring content relevance and increased engagement rates.

3. Performance Analysis: AI can monitor and analyze campaign performance in real-time, track key performance indicators (KPIs), and provide valuable insights. This data can help brands and influencers optimize their strategies for better engagement.

4. Predictive Analysis: AI can predict audience behavior and responses to certain content, making it easier to tailor campaigns that resonate with the target audience.

For instance, an influencer marketing platform like Flinque uses AI-based analysis for enhanced audience matching, which may lead to higher campaign ROI. Influencer platforms like Brandwatch, similarly, employ AI to analyze conversations and measure sentiment around brands.

In contrast, other platforms may use AI mostly for influencer discovery and campaign reporting. Remember, the choice of platform depends largely on the team’s needs and priorities for leveraging AI in influencer marketing.

Ultimately, the use of AI in influencer marketing can enable brands and influencers to work smarter by making informed, data-driven decisions that directly impact audience quality and engagement.