Affinities
How Celavii's AI detects brand associations, topic interests, and location signals from creator profiles to power discovery and audience matching.
Affinities are AI-detected associations between creators and brands, topics, or locations. Celavii analyzes creator content — captions, hashtags, mentions, and tagged locations — to identify patterns and connections.
Affinities are automatically extracted using natural language processing and computer vision, so you don't need to manually tag creators.
Types of Affinities
Brand Affinities
Brands and companies a creator mentions or engages with.
Examples: Nike, Apple, Starbucks, Tesla
Topic Affinities
Interests and subjects a creator frequently discusses.
Examples: Fitness, Photography, Travel, Tech
Location Affinities
Places a creator tags or references in their content.
Examples: Los Angeles, New York, Miami, London
How AI Detects Affinities
- Caption Analysis — Natural language processing extracts brand mentions, topics, and sentiment from post captions
- Hashtag Clustering — Recurring hashtags are grouped to identify consistent themes and interests
- @ Mention Tracking — Tagged accounts and mentions reveal brand partnerships and affiliations
- Visual Recognition — Computer vision identifies products, logos, and branded content in images
Affinity Confidence Scores
Each affinity has a confidence score (0–100) based on frequency and recency:
| Score | Strength |
|---|---|
| 80–100 | Strong affinity |
| 50–79 | Moderate affinity |
| 0–49 | Weak affinity |
Using Affinities for Discovery
- Find Brand Fans — Search for creators who already mention your brand or competitors
- Niche Targeting — Filter by topic affinities to find creators in specific verticals
- Competitive Analysis — Identify creators with affinities to competitor brands
- Cohort Analysis — Analyze shared affinities across your creator lists