Brand Compatibility Scorer

AI-powered brand-creator matching: content alignment, audience overlap, brand safety, and partnership value prediction all in one score.

You've got 8 creators pitching you for partnerships. Three look great on paper. Two are probably a mess. One might actually get you sued. But you can't vet all of them manually in 24 hours.

So you guess. And when the partnership tanks because your brand values don't align, or the creator's audience hates your product, you've burned budget, burned bridges, and burned your credibility.

Stop guessing. Use AI to score every partnership before you sign a check.

⚡ What You Get

brand-compatibility-analysis/
├── creator_handle: "@mindful_maya.wellness"
├── brand_name: "EverGlow Skincare"
├── compatibility_score: 0.87
├── values_alignment/
│   ├── creator_values: ["sustainability", "cruelty-free", "mental-health", "body-positivity"]
│   ├── brand_values: ["sustainability", "cruelty-free", "clean-beauty", "inclusivity"]
│   ├── aligned_values: 3
│   ├── alignment_percentage: 75%
│   └── flags: "Neutral. Good overlap."
├── audience_compatibility/
│   ├── creator_audience_size: 347823
│   ├── audience_demographics: {"female": 89%, "age_18_35": 78%, "income_30k_100k": 62%}
│   ├── brand_target_audience: {"female": 85%, "age_20_40": 81%, "income_25k_150k": 68%}
│   ├── overlap_score: 0.91  👈 This is money. 91% of the creator's audience matches your buyer
│   └── predicted_conversion_rate: 0.042
├── brand_safety/
│   ├── controversial_content_ratio: 0.02
│   ├── explicit_language: "minimal"
│   ├── legal_issues: "none_detected"
│   ├── brand_association_risk: "low"
│   └── endorsement_risk: "low"
├── engagement_authenticity/
│   ├── bot_followers: 12%
│   ├── engagement_authenticity_score: 0.84
│   └── flag: "Safe to partner"
└── partnership_value_prediction/
    ├── estimated_reach: 2847394
    ├── predicted_conversions: 1247
    ├── estimated_revenue_impact: "$18420"
    ├── partnership_roi_score: 0.89
    └── recommendation: "GREEN LIGHT. High compatibility. Partner value: $18K+ first campaign."

👈 That overlap_score is the conversion predictor. 91% audience match means when this creator says "try EverGlow," their followers will actually listen. That's a partnership that works.

🎯 Use Cases

• Brand Partnerships Managers vetting 50+ creators per quarter — instant AI scoring to identify best partnerships before legal even gets involved
• Marketing Directors allocating creator budgets — prioritize partnerships with highest predicted ROI based on audience match + content alignment
• Agencies pitching influencer campaigns to clients — show compatibility scores as proof the partnership will work, not just hope
• Creator Networks recommending partnerships to creators — automated matchmaking tells a beauty creator: "You'd be perfect for EverGlow. 87% compatibility."
• In-house Legal/Compliance approving partnerships — brand safety scoring flags potential reputation risks before they blow up on Twitter

📊 Sample Output

{
  "creator_handle": "@mindful_maya.wellness",
  "platform": "instagram",
  "brand_name": "EverGlow Skincare",
  "analysis_date": "2025-02-26",
  "overall_compatibility_score": 0.87,
  "compatibility_grade": "A",
  "values_alignment": {
    "creator_core_values": ["sustainability", "cruelty-free", "mental-health", "body-positivity", "inclusivity"],
    "brand_core_values": ["sustainability", "cruelty-free", "clean-beauty", "inclusivity", "premium-quality"],
    "aligned_values": ["sustainability", "cruelty-free", "inclusivity"],
    "value_alignment_score": 0.75,
    "misaligned_values": ["mental-health", "premium-quality"],
    "alignment_summary": "Strong overlap on ethics. Creator less focused on luxury positioning."
  },
  "audience_compatibility": {
    "creator_follower_count": 347823,
    "creator_audience_demographics": {
      "gender": {"female": 0.89, "male": 0.11},
      "age_groups": {"13-17": 0.08, "18-24": 0.34, "25-34": 0.44, "35-44": 0.12, "45+": 0.02},
      "income_range": {"under_30k": 0.12, "30k_100k": 0.62, "100k_250k": 0.21, "250k+": 0.05},
      "top_countries": ["US", "CA", "AU", "UK", "NZ"],
      "interests": ["wellness", "skincare", "sustainability", "yoga", "mental-health"]
    },
    "brand_target_audience": {
      "gender": {"female": 0.85, "male": 0.15},
      "age_groups": {"13-17": 0.05, "18-24": 0.28, "25-34": 0.53, "35-44": 0.12, "45+": 0.02},
      "income_range": {"under_25k": 0.08, "25k_150k": 0.68, "150k_500k": 0.20, "500k+": 0.04}
    },
    "audience_overlap_score": 0.91,
    "demographic_match_quality": "excellent",
    "interest_alignment_score": 0.86,
    "predicted_conversion_rate": 0.042,
    "estimated_engaged_audience": 28473
  },
  "brand_safety": {
    "controversial_content_ratio": 0.02,
    "explicit_language_frequency": "minimal",
    "legal_issues_detected": "none",
    "association_risk_level": "low",
    "endorsement_risk_level": "low",
    "content_moderation_flags": 0,
    "reputation_risk_score": 0.08,
    "safety_recommendation": "Safe to partner"
  },
  "engagement_quality": {
    "follower_authenticity_score": 0.84,
    "estimated_bot_percentage": 0.12,
    "engagement_rate": 0.068,
    "comment_sentiment_positive": 0.84,
    "comment_sentiment_neutral": 0.14,
    "comment_sentiment_negative": 0.02
  },
  "partnership_value_prediction": {
    "estimated_campaign_reach": 2847394,
    "predicted_conversions": 1247,
    "conversion_confidence": 0.87,
    "estimated_revenue_impact": 18420.50,
    "estimated_cost_per_acquisition": 12.70,
    "recommended_partnership_value": "$8,000 - $15,000",
    "partnership_roi_score": 0.89,
    "confidence_level": "high"
  },
  "competitor_comparison": {
    "platform_avg_overlap_score": 0.72,
    "creator_percentile_rank": 0.88,
    "summary": "Top 12% of creators for this brand in audience match"
  },
  "recommendation": "GREEN LIGHT. High compatibility across values, audience, and brand safety. Predicted partnership ROI: 2.3x. Recommended budget: $10K-$12K for first campaign."
}

Field Guide:

• overall_compatibility_score: 0-1 scale. ≥0.80 = safe partnership. <0.60 = high risk.
• audience_overlap_score: Percentage of creator's audience matching your target buyer.
• predicted_conversion_rate: How many people who see this creator's content will actually buy.
• reputation_risk_score: Likelihood this creator damages your brand. <0.20 is safe.

🔗 Integrations & Automation

Webhook Integration: Creator pitches you for partnership? Webhook instantly scores them. Slack alert: "87% compatible. Predicted ROI: 2.3x. Green light for outreach."

Email Digests: Monthly summary of top-compatible creators in your niche. "You should be talking to these 10 creators — they're 85%+ compatible."

MCP Compatible: Ask your AI agent: "Which creators should we partner with?" Agent queries this tool for 100 prospects, gets compatibility scores, ranks them, recommends top 5.

API: Batch score 1000+ creators instantly. Integrate into your creator database. New creator applies to your network? Auto-score them against your brand.

Explore integrations →

🔌 Works Great With

• Audience Authenticity Audit — Combine compatibility scoring with bot detection to ensure high-match creators have real followers
• Content Performance Tracker — Find compatible creators, then track their performance to measure actual ROI
• Influencer Brand Matchmaker — Automated two-way matching: creators find perfect brand partners
• Influencer Marketing Lead Gen — Find brands in your space, then score creator compatibility against them
• Creator Discovery Engine — Find creators in your niche, then auto-score them for compatibility

💰 Cost & Performance

Typical run: Score 100 creators for brand fit in 6 minutes for ~$2.40. That's 2.4¢ per creator scored.

Manual vetting? Have one person spend 20 minutes per creator = 1,200 hours of labor for 100 creators. At $75/hour, that's $90,000.

We do it for $2.40. 37,500x cheaper.

Or use an agency to vet partnerships: $5,000 per campaign. One run of this pays for itself in the first deal you avoid.

🛡️ Built Right

• Large Language Models: GPT-4 analysis of creator content, brand positioning, and values alignment. Not just keyword matching — true semantic understanding.
• Audience Data Science: ML trained on 500K+ successful influencer partnerships to predict conversion likelihood.
• Real-Time Content Scraping: We analyze actual creator content (not self-reported values) to detect true brand fit.
• Safety Monitoring: Automated detection of controversial content, explicit language, and legal red flags.
• Continuous Learning: Models improve as partnerships succeed or fail. Better predictions over time.

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Fresh data. Zero guesswork. Be the first to know.

📧 Email alerts · 🔗 Webhook triggers · 🤖 MCP compatible · 📡 API access

Built by Creator Fusion — OSINT tools that actually work.