toolspool

Compare tools

Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

⇄ Comparison dimension — pick the market you're actually shopping in

VisibilityRadar logo
VisibilityRadar
✓ verifiedFreemium

VisibilityRadar scores brand visibility across 6 AI models and recommends strategies customized to each model's training data sources.

Arize AI logo
Arize AI
✓ verifiedFreemium

AI observability and evaluation platform to trace, evaluate and improve LLM agents in production, with an open-source Phoenix core.

248K visits/mo
Maxim AI logo
Maxim AI
✓ verifiedFreemium

End-to-end evaluation and observability platform for building, testing, and monitoring AI agents and LLM apps.

102K visits/mo
Pricing
Free Demo (1 competitor, 10 prompts, 1 use)
AX Free: $0/mo (25k spans/mo)
AX Pro: $50/mo (50k spans/mo)
Developer: $0 (3 seats, 10k logs/mo)
Professional: $29/seat/mo (100k logs/mo)
Business: $49/seat/mo (500k logs/mo)

Free trial available

Core features
  • 6 AI Model Scoring (0-100 Visibility Score)
  • Per-Model Strategy Playbook
  • Brand Sentiment Analysis
  • Competitor Comparison
  • AI-Readiness Audit
  • Month-over-Month Tracking
  • PDF Report Export
  • MCP API (Claude Desktop, Cursor)
  • Geographic markets (Global, Turkey, USA, UK, Germany)
  • Agent and LLM tracing
  • Large-scale evaluations
  • Open-source Phoenix observability
  • Alyx AI engineering agent
  • OpenTelemetry-based instrumentation
  • Experiments and prompt playgrounds
  • Prompt IDE, versioning, and deployment
  • Agent simulation and evaluation
  • Production tracing and observability
  • Pre-built and custom evaluators
  • Human-in-the-loop evaluation
  • Bifrost LLM gateway
Use cases
  • Debugging AI agents in production
  • Measuring LLM output quality
  • Catching regressions before deploy
  • Testing and comparing prompts and models
  • Evaluating and simulating AI agents
  • Monitoring agents in production
  • Running human evaluation pipelines
Visit
More in LLM Evaluation