TrustLens AI

B2B E-commerce
🔥
9/10
Demand Score
Fake reviews cost businesses billions annually, with 30-40% of online reviews estimated to be fake. Companies desperately need reliable review data for competitive intelligence and customer trust.
🌊
8/10
Blue Ocean
Competition Level
💰
$299-999
Price/Month
Predicted customer spend
⏱️
90 days
Time to MVP
Difficulty: Moderate

The Problem

An AI-powered review authenticity and comparison engine that aggregates reviews from multiple sources, detects fake/incentivized reviews using advanced NLP and behavioral analysis, and provides normal

🔗 Validated by Real User Complaints

This problem has been verified through 1 real user complaints:

Competitor Landscape

  • Trustpilot - focuses on collection, not deep authenticity analysis
  • Fakespot - consumer-focused browser extension, not B2B
  • ReviewMeta - limited to Amazon, no multi-platform aggregation
  • BazaarVoice - expensive enterprise solution, lacks AI authenticity detection

Must-Have Features for MVP

Multi-source review aggregation API
AI-powered authenticity scoring
Competitor comparison dashboards
White-label widget for websites
Alert system for review anomalies

⚠️ Potential Challenges

  • Access to review data from multiple platforms
  • Building accurate fake detection algorithms
  • Legal considerations around review scraping

Risk Level: Moderate

🎯 Keys to Success

  • Partnership with e-commerce platforms
  • High accuracy in fake review detection
  • Fast API response times
  • Clear ROI demonstration through conversion rate improvements

Ready to Build This?

This moderate-difficulty project could be your next micro-SaaS success.