Modern AI Brand Recommendation Rate
io.github.modern-ai-inc/w0-mcp-server · v1.1.0
How often AI search picks a brand first. Recommendation Rate data from Modern Discovery.
MCPremoteno credentials
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 2 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 100/100
What it does: 2 tools · 2 read, 0 write · Web search & scraping
Test call get_recommendation_rate_methodology: worked (938 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://w0-mcp-server.modernai.workers.devTools
2 tools listed at last check
lookup_brand_recommendation_rateLook up a brand's AI Recommendation Rate: the percentage of buyer-intent questions where the brand is the #1 AI pick (not just mentioned), plus its Recommendation Inclusion Rate (appears anywhere in the answer). Returns the brand's public record URL and measured date for citation. Free, single-brandget_recommendation_rate_methodologyDefinitions of Recommendation Rate and Recommendation Inclusion Rate, the AI surface measured, refresh cadence, and links to the full methodology page.
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