Our Scoring Methodology

How AI Scanner independently evaluates and scores 2,019 B2B AI platforms. No vendor sponsorship influences rankings.

Four Scoring Dimensions

• Performance (30%) — accuracy, speed, reliability, and output quality
• Usability (25%) — ease of setup, learning curve, documentation, and support
• Pricing Value (25%) — cost relative to capability, transparency, and free-tier availability
• Versatility (20%) — integrations, deployment options, and breadth of use cases

Overall score = Performance × 0.30 + Usability × 0.25 + Pricing Value × 0.25 + Versatility × 0.20, each rated 1–10.

Data Sources

• Official product documentation and specifications
• Publicly available pricing
• Industry benchmarks and third-party analyst reports
• Product demos and trials

Vendor submissions are never used as a primary source. Listings are reviewed and updated on a monthly cycle.

This methodology also underpins AI Scanner Data & Research, our market-intelligence reports derived from the same scored dataset.

About AI Scanner · 2026 Rankings · Benchmarks