Heylist just took another step forward in empowering smarter, more data-driven influencer marketing. With the rollout of AI interests analysis, brands and agencies can now see exactly what creators are actually posting about—based on content, captions, and hashtags.

This new layer of insight doesn’t replace human input. Instead, it adds depth, clarity, and confidence to creator selection and campaign planning. As the creator economy grows more nuanced, this feature solidifies Heylist’s position at the intersection of human creativity and machine intelligence.

Feature breakdown

See what creators really talk about

Each creator profile now showcases the top 5 AI-assigned interest categories—like Fashion, Music, or Food & Drinks—based on their real content.

Human + AI categorization

User-selected categories remain the primary filter for search, but now, they’re enhanced by algorithmic intelligence that scans actual published posts.

Consistency across profiles

The interface cleanly separates AI categories from creator-chosen ones, preserving clarity while unlocking a new level of transparency.

Technical explanation & use cases

Heylist’s AI engine analyzes creator posts—images, video, captions, and hashtags—then classifies their content into thematic interest groups using natural language processing and computer vision models. These insights are:

• Visible on creator profiles under “AI interests analysis”
• Based on actual frequency of topics in content
• Continuously updated as new posts go live

Use cases include:

• Smarter shortlists: Find creators whose real content aligns with campaign goals—even if their self-selected categories don’t.
• Content alignment checks: Verify whether a creator’s actual feed supports a niche like “Health & Wellness” before inviting.
• Lookalike matching: Combine AI tagging with performance data to find creators with similar content DNA.

This release is an early step toward fully AI-powered creator recommendations, with more predictive features coming soon.

‍