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Find Sponsor Logos in Seconds with AI Tagging
PhotoShelter’s logo tagging identifies sponsors and brands, helping you fulfill sponsor requirements and deliver assets faster.
Sponsor visibility matters in sports. Every photo that captures a logo on a jersey, banner, or sign represents real value for your partners. Tracking those moments by hand takes time. PhotoShelter’s logo tagging automates the process.
Using artificial intelligence, logo tagging detects brand marks in your photos and automatically applies accurate tags. Teams can instantly find, organize, and deliver images to sponsors or stakeholders within minutes.
Logo tagging helps you:
- Identify brand marks across game day and live event coverage
- Quickly find photos of signage, uniforms, or on-site materials
- Quantify logo appearances to demonstrate partnership ROI
- Deliver sponsor fulfillment assets faster with accuracy
- Combine with AI Visual Search to locate assets without additional metadata
- Use smart galleries to automatically collect assets tagged by sponsor
How it works
Logo tagging is trained by our team using your brand library. Send us your collection of logos or brand marks, along with sample images you want analyzed. Once configured, PhotoShelter’s AI automatically identifies those logos and applies tags as new images are uploaded. Using smart galleries, all the assets for each sponsor are automatically collected for your sponsorship team – who get more images than they would otherwise.
PhotoShelter’s AI tools are continuously refined by our team to maintain high accuracy across brands, teams, and organizations worldwide.
Bring your sponsor relationships into focus
Logo tagging simplifies sponsor fulfillment by giving you clear, data-backed results. A single search can show precisely how many times a partner’s logo appeared in your content over a season or campaign.
For teams, venues, and media organizations managing multiple brand partners, automatic logo tagging ensures every logo is captured accurately and every deliverable is on time.


