Primary Recommendations
0
Total Mentions
7
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 |
|---|---|---|---|---|---|
| 🗄 Database | - | 2 | - | 7 | 0% |
Constraints in prompts where this vendor was mentioned but a competitor was chosen
| Competitor | Wins Over You | Scenarios |
|---|---|---|
| Neon | 4 | Serverless Postgres with Connection Pooling |
Prioritized by estimated impact on AI recommendation ranking • Based on 7 benchmark responses
Your win rate drops from 0% to 0% when "serverless compatible" is required. This constraint appears in 4 benchmark prompts. neon addresses it 4× in winning scenarios.
neon beats you in 4 head-to-head scenarios. Their advantage: addressing serverless compatible, pgvector required, eu data residency.
Your win rate drops from 0% to 0% when "pgvector required" is required. This constraint appears in 4 benchmark prompts. neon addresses it 4× in winning scenarios.
Your win rate drops from 0% to 0% when "eu data residency" is required. This constraint appears in 4 benchmark prompts. neon addresses it 4× in winning scenarios.
Your win rate drops from 0% to 0% when "pitr backups" is required. This constraint appears in 4 benchmark prompts. neon addresses it 4× in winning scenarios.
You're mentioned in 7 database scenarios but only win 0. Analyze the constraints in losing scenarios for targeted improvements.