Gauge

Expose the Game

A campaign exposing influencer fraud in Web3—demonstrating how AI scoring ensures you only pay for content that actually communicates your message.

618
Posts Evaluated
244
Unique Creators
27,134
Total Engagements
63.4%
Off-Topic Filtered
The Challenge

Engagement metrics lie

Gauge wanted to run a creator campaign exposing influencer fraud in Web3. The problem? Traditional campaigns pay for engagement—likes, reposts, impressions—regardless of whether the content actually communicates your message. High engagement from off-topic content looks great in reports but delivers zero value. Without a way to verify content alignment, brands either manually review every post (doesn't scale) or blindly pay for metrics that don't reflect reality.

The Problem with Engagement Metrics

On-Topic (Paid)

226
Posts (36.6%)
8,693
Likes
940
Reposts

Off-Topic (Filtered)

392
Posts (63.4%)
14,039
Likes
3,462
Reposts

Key Insight

Filtered posts generated 64.5% of total engagement—but from off-topic content. Without AI scoring, you'd see impressive numbers with no way to know if the content communicated your message.

Score Distribution

Posts scored 0-4 were filtered. Posts 5+ were paid. Higher scores indicate better alignment with campaign goals.

30
59
104
46
137
71
82
24
22
23
4
0
1
2
3
4
5
6
7
8
9
10
Filtered (Score 0-4)
Paid (Score 5+)

Engagement by Score

Lower-scored posts often had higher engagement—from off-topic content that wouldn't have delivered your message.

0
2,377
1
3,201
2
4,992
3
2,443
4
4,488
5
3,677
6
3,189
7
869
8
911
9
870
10
117
Filtered Likes
Filtered Reposts
Paid Likes
Paid Reposts

AI Scoring in Action

What Got Filtered

  • Off-Topic Promotion
    Promoting unrelated projects like yield farming products or trading tools
  • Generic Marketing
    Corporate-sounding copy that missed the authentic voice
  • Missing Narrative
    Touched on fraud themes but lacked specific details
  • Pure Shill Content
    Mentioning Gauge without fraud exposure context

What Scored High

  • Personal Experience
    Real DMs, actual pricing details, named collapsed projects
  • Concrete Numbers
    "$2k vs $10k deals," "940 vs 41 wallets," "1.4M followers/38 likes"
  • Authentic Voice
    Frustrated-but-educational tone, not corporate marketing
  • Natural Integration
    Mentioned tokenized social proof as solution, not forced shill

The Bottom Line

63.4%
of budget would have paid for off-topic content without AI scoring
100%
of paid content actually communicated the intended message

AI scoring ensures you only pay for content that hits the mark—while still benefiting from the reach of all submitted posts.

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