Primary Recommendations
2
Total Mentions
13
Win Rate
15%
Implementation Rate
100%
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
15% → 15%
Mention Volume
Weekly Activity
1 week of data
| Category | Recommended | Compared | Rejected | Total | Win Rate |
|---|---|---|---|---|---|
| 🗄 Database | 2 | 1 | 1 | 9 | 22% |
| unknown | - | - | - | 4 | 0% |
Constraints in prompts where this vendor was mentioned but a competitor was chosen
(PGlite doesn't support RN) | ✅ (native SQLite) |
(PGlite doesn't support RN) | ✅ (native SQLite) |
Not ElectricSQL?
Not ElectricSQL?
Prioritized by estimated impact on AI recommendation ranking • Based on 13 benchmark responses
You're mentioned in 9 database scenarios but only win 2. Analyze the constraints in losing scenarios for targeted improvements.
Only recommended on claude_code (2×). codex_cli and cursor are not recommending you — improve discoverability through documentation, npm package naming, and example code.
AI assistants warn about "pglite doesn" (2×). These warnings may influence developers away from your tool.