AI-Powered Matching

How the Right Brands Find You

No cold DMs. No guesswork. Contested's matching engine analyzes six data signals to surface brand deals that actually fit your audience, content, and values.

You never have to pitch. Brands come to you — and every deal that reaches your dashboard has been scored, screened for common compliance flags, and fully structured.

25% weight

Audience Demographics

Age ranges, gender split, location density, and interest categories are cross-referenced against the brand's target customer profile.

Example

Brand targets 18–24 females interested in fitness → your audience is 72% female, 68% aged 18–24, top interest: health & wellness → 92% overlap score.

20% weight

Engagement Quality

Real engagement rate, comment sentiment analysis, save-to-like ratio, and story reply rate — not just follower count.

Example

Your 8.3% engagement rate + positive comment sentiment = top 5% of matched athletes for this campaign.

20% weight

Content Style

Visual tone, caption style, posting frequency, and content categories are analyzed against the brand's creative direction.

Example

Brand wants authentic lifestyle content → your feed is 70% lifestyle, 20% training, 10% humor → strong content fit.

15% weight

Brand Alignment

Sport relevance, personal values, and existing brand affinities are checked for natural alignment.

Example

Protein brand targeting college basketball → you're D1 basketball, previously posted about nutrition → high alignment.

10% weight

Growth Trajectory

Month-over-month follower growth, engagement trends, and viral content potential signal rising influence.

Example

Your followers grew 12% this month + your last 3 posts averaged 2× your baseline → growth multiplier applied.

10% weight

Rate Fit

Your rates are compared to the campaign budget to ensure the deal is financially viable for both sides.

Example

Your Instagram Reel rate is $600 → campaign budget supports $500–$800 per athlete → rate fit confirmed.

Step 01

Brand Submits Campaign Brief

The brand defines their goals, target audience, budget, deliverables, creative direction, timeline, and usage rights. This becomes the matching criteria.

Campaign objective (awareness, conversion, UGC library)
Target demographics & psychographics
Platform preferences (Instagram, TikTok, YouTube)
Budget range & per-athlete allocation
Creative direction & content guidelines
Step 02

Athlete Profiles Indexed

Every athlete on Contested has a live profile fed by connected social accounts. The engine pulls fresh data — not month-old snapshots.

Real-time follower counts & demographics
Engagement metrics across all platforms
Content categorization & visual analysis
Rate cards & availability status
Compliance screening tools (NCAA, FTC)
Step 03

Scoring Engine Runs

Every eligible athlete is scored against the brief using six weighted signals. The model produces a match score from 0–100 for each athlete.

Audience overlap score (25% weight)
Engagement quality score (20% weight)
Content style alignment (20% weight)
Brand alignment check (15% weight)
Growth trajectory factor (10% weight)
Rate fit validation (10% weight)
Step 04

Fair Distribution Applied

Before finalizing the shortlist, the engine applies equity rules. Budgets are distributed across tiers so smaller creators and underrepresented athletes get surfaced.

Budget spread across follower tiers
Underrepresented sport & demographic boost
Anti-monopoly: no single athlete dominates
D2/D3 and niche-sport athletes prioritized when fit matches
Step 05

Ranked Shortlist Delivered

The brand receives a ranked shortlist of 10–25 athletes with match scores, audience breakdowns, content samples, and rate cards. They select their picks.

Match score + reasoning for each athlete
Audience demographics breakdown
Top-performing content examples
Per-platform rate card
Availability & compliance status
Step 06

You Get a Complete Offer

If the brand selects you, a fully structured offer lands in your dashboard — deliverables, rates, rights, timeline, compliance, and escrow protection included.

Line-item deliverables with per-piece rates
Usage rights, territory & exclusivity
Content deadline & review process
FTC disclosure & NCAA compliance baked in
Payment held in escrow before you start

Old Way

Contested

How athletes are found
DMs, cold outreach, or word of mouth
AI matches based on 6 data signals
Audience data used
Follower count only
Demographics, engagement quality, growth
Who gets deals
Biggest accounts win everything
Budget distributed across matching tiers
Deal transparency
Vague terms, negotiate everything
Full offer with rates, rights & timeline
Compliance
Figure it out yourself
NCAA & FTC checks built in
Match quality
Static, never improves
Learns from every campaign outcome
High Impact

Complete your profile

Add your sport, location, content preferences, and rate card. Incomplete profiles can't be scored accurately.

High Impact

Connect all your socials

Instagram, TikTok, YouTube — every connected platform gives the engine more data to work with.

Medium Impact

Complete deals on time

A 100% completion rate signals reliability. Brands prioritize athletes with strong track records.

Medium Impact

Post consistently

Regular posting keeps your engagement metrics fresh. Dormant accounts get lower engagement scores.

%
Match Score

Your potential match score

Stop Searching.
Start Getting Found.

Create your profile, connect your socials, and let the matching engine do the work. Your first brand deal could be days away.

Free foreverNo credit card2-minute setup