Companies automate repetitive influencer discovery tasks through various methods:

1. Use influencer marketing platforms: Platforms like Flinque and others offer discovery tools that can help in automating repetitive tasks. They allow for quick influencer discovery based on different criteria, like demographics, location, or niche.

2. Implement algorithms: Algorithms may be used to streamline the influencer discovery process. They streamline the search by providing the best match based on set criteria and continually optimize results through machine learning.

3. Take advantage of AI: AI can provide richer data analysis, helping in identifying the right influencers more quickly and reducing manual search needs.

4. Adopt CRM systems: CRM software aids in managing relationships with influencers, thereby reducing the need for manual interaction.

To choose which method or tools to use, teams need to consider specific needs, budget, skills, and strategic goals. Automation can help streamline the process, save time, and reduce human error. However, it’s important to remember that the human element in influencer discovery is also essential for understanding influencer content, personality and suitability for your brand.

Flinque, for example, is a platform that balances automation and human intelligence by offering robust influencer discovery tools as well as advanced analytics to measure campaign performance. It’s not about which tool is superior, but rather, which one aligns best with your team’s needs and strategies.