Detect every brand placement, automatically. Frame-by-frame AI analysis turns sponsorship videos into measurable ROI data — proving value with precision no human review can match.
From video upload to executive-ready insights in four automated steps
Upload event broadcasts, activation footage, or any sponsorship video to your SponsorFlo media library. Supports all major video formats.
Our Marengo visual search engine indexes the entire video and searches frame-by-frame for each brand — detecting logos, signage, jerseys, and digital overlays with precise timestamps.
Pegasus AI analyzes each detection in context — identifying scene type, viewer attention levels, placement prominence, and sentiment — transforming raw detections into business intelligence.
AI generates executive summaries, effectiveness scores, ROI indicators, and strategic recommendations — ready to share with stakeholders or use for optimization.
Two specialized AI models working together for unmatched accuracy
AI scans every frame of your video using visual search technology to identify brand logos, signage, jerseys, digital overlays, and product placements with precise timestamps.
Each brand appearance is scored on prominence, duration, screen position, scene context, and viewer attention level to quantify the real value of every placement.
Automatically verify that contractual brand placement obligations are met. Cross-reference detected appearances against agreement deliverables for compliance reporting.
After detection, AI analyzes patterns across all brand appearances to generate executive summaries, strategic recommendations, and actionable optimization advice.
Two specialized AI models work in tandem — one for precision detection, one for contextual understanding
Phase 1 — Detection
Searches every frame for brand-specific visual patterns. Returns precise timestamps, confidence scores, and match rankings for each detection.
Phase 2 — Enrichment
Analyzes each detection in its visual and narrative context — understanding what's happening in the scene, how prominent the brand is, and what the viewer experience is like.
Every type of brand placement across any video content
Stadium boards, venue signage, LED displays, branded backdrops
Team uniforms, staff apparel, branded clothing and gear
Broadcast graphics, virtual signage, on-screen branding
Branded products, equipment, vehicles, and merchandise visible in frame
Press conference backdrops, step-and-repeat banners, event branding
Verbal brand mentions by commentators, announcers, or hosts
How teams and brands use video ROI analysis
After every game, event, or activation, automatically verify that all contracted brand placements were delivered as promised.
Generate data-backed reports showing sponsors exactly how much visibility and value their investment delivered across all video content.
Analyze competitor broadcasts to understand their sponsorship strategies, placement types, and share-of-voice across video content.
Use detection data to optimize future placement strategies — identifying which positions, timing, and contexts drive the highest quality scores.
Every analysis produces actionable, stakeholder-ready data
Individual brand appearances with timestamps
Visibility, duration, and attention weighted
Total seconds of brand screen time
Overall placement value assessment
Turn every sponsorship video into proof of value with AI-powered brand detection and ROI analysis.
Why teams are switching from manual video review to AI-powered detection
| Capability | Manual Review | SponsorFlo AI |
|---|---|---|
| Time per 60-min video | 4-8 hours | 5-10 minutes |
| Frame-level accuracy | Approximate | Every frame analyzed |
| Consistency | Varies by reviewer | 100% consistent |
| Deliverable matching | Spreadsheet cross-ref | Automated verification |
| Placement scoring | Subjective | Objective 0-100 score |
| Executive reporting | Manual drafting | AI-generated instantly |
| Cost per analysis | $500-2,000+ | Included in plan |
Sponsorship is a multi-billion dollar industry, yet measuring the actual value delivered through video content has traditionally been a manual, error-prone process. A single 60-minute broadcast can contain hundreds of brand appearances across stadium signage, jersey logos, digital overlays, and product placements — far too many for human reviewers to accurately catalog and score.
SponsorFlo's AI Video ROI Analysis solves this by applying dual-AI architecture to every frame of your sponsorship video. The Marengo visual search engine performs frame-level brand detection with confidence scoring, while the Pegasus context engine enriches each detection with scene analysis, viewer attention estimates, and placement classification. Together, they transform raw video into quantified sponsorship value in minutes — not days.
Whether you manage sponsorship for a professional sports team, a college athletic department, an event production company, or a brand with a large sponsorship portfolio, AI video analysis eliminates the guesswork from ROI measurement:
Raw detection data is only valuable when it drives decisions. SponsorFlo's AI doesn't just find brands — it generates executive summaries, strategic recommendations, and stakeholder-ready reports. Every analysis produces a placement effectiveness score that factors in visibility, duration, screen position, scene context, and viewer attention. This gives you a single, defensible metric to anchor renewal conversations and optimization strategies.
The system also automatically cross-references detected placements against your contractual deliverables, flagging any gaps or over-deliveries. This deliverable verification capability turns post-event reporting from a multi-day manual effort into an automated, objective compliance check — building trust with sponsors and reducing disputes.
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