Primary Recommendations
0
Total Mentions
3
Win Rate
0%
Implementation Rate
0%
How well your documentation and SDK help AI assistants recommend and implement your tool
out of 100
How often AI writes code after recommending
How often selected as primary choice
% of prompt constraints addressed
Fewer gotchas = more AI-friendly
Consistency across assistants
Win Rate Trend
0% → 0%
Mention Volume
Weekly Activity
1 week of data
| Category | Recommended | Compared | Rejected | Total | Win Rate |
|---|---|---|---|---|---|
| 🔭 LLM Observability | - | - | - | 2 | 0% |
| unknown | - | - | - | 1 | 0% |
Constraints in prompts where this vendor was mentioned but a competitor was chosen
| Competitor | Wins Over You | Scenarios |
|---|---|---|
| Braintrust | 1 | RAG Pipeline Debugging and Evaluation |
Prioritized by estimated impact on AI recommendation ranking • Based on 3 benchmark responses
You're mentioned in 2 llm observability scenarios but only win 0. Analyze the constraints in losing scenarios for targeted improvements.
braintrust beats you in 1 head-to-head scenario. Their advantage: addressing prompt versioning, ci eval suite.