Primary Recommendations
4
Total Mentions
8
Win Rate
50%
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
50% → 50%
Mention Volume
Weekly Activity
1 week of data
| Category | Recommended | Compared | Rejected | Total | Win Rate |
|---|---|---|---|---|---|
| 🚨 Incident Management | 4 | - | - | 8 | 50% |
Constraints in prompts where this vendor was mentioned but a competitor was chosen
## 🏆 **Recommendation: Incident.io**
## 🏆 **Recommendation: Incident.io**
it wasn’t caught earlier) 6. What went well / what didn’t 7. Action items (owner, due date, priority) 8. Follow‑ups and verification plan
Prioritized by estimated impact on AI recommendation ranking • Based on 8 benchmark responses
AI assistants recommend you but often don't write the setup code. This suggests SDK complexity or missing AI-friendly documentation. Implementation gaps concentrated on claude_code, codex_cli.