Round 1 Winners!
Proof of Usefulness Report

Geometriqs

Analysis completed on 3/10/2026

-34.5
Proof of Usefulness Score
Lab Mode

Geometriqs targets a highly relevant and timely concept (Generative Engine Optimization). However, the submission contains severe red flags and unsupported claims, such as stating 'most people have used my product' despite a 2025 launch and providing zero active user metrics. The vague audience ('everyone') and lack of technical depth ('Research' as the sole technology) further diminish credibility. Due to these blatant red flags and unverifiable traction, the project receives a negative score in alignment with the evaluation calibration guidelines.

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Score Breakdown

Real World Utility+62.5
Audience Reach Impact-50
Technical Innovation+15
Evidence Of Traction-125
Market Timing Relevance+80
Functional Completeness-12.5
Subtotal-30
Usefulness Multiplierx1.15
Final Score-34

Project Details

Project URL
Description
Geometriqs is the IQ behind Generative Engine Optimization, revealing how brands show up in AI answers. We track mentions across leading models, benchmark visibility against competitors, and surface the sources, sentiment, and signals that shape perception. By turning the invisible conversation into measurable intelligence, Geometriqs gives brands and agencies the clarity to understand and strengthen their presence in the generative era.

Algorithm Insights

Market Position
Early stage requiring focused development
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline