Modern AI Brand Recommendation Rate
How often AI search picks a brand first. Recommendation Rate data from Modern Discovery.
Should I use this
Quality & Safety
Findings (2)
- LOWTool 'lookup_brand_recommendation_rate' name length outside 3-30 rangein lookup_brand_recommendation_rate
- LOWTool 'get_recommendation_rate_methodology' name length outside 3-30 rangein get_recommendation_rate_methodology
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"w0-mcp-server": {
"url": "https://w0-mcp-server.modernai.workers.dev"
}
}
}Remote endpoints
https://w0-mcp-server.modernai.workers.devstreamable-httpWhat it can do
Tool inventory
Tools (2)
🟢lookup_brand_recommendation_rate(brand)
Look 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-brand lookup only, rate-limited per Modern AI's published anti-scrape policy.
Input Schema
{
"type": "object",
"properties": {
"brand": {
"type": "string",
"description": "Brand name to look up, e.g. \"Brumate\""
}
},
"required": [
"brand"
]
}🟢get_recommendation_rate_methodology
Definitions of Recommendation Rate and Recommendation Inclusion Rate, the AI surface measured, refresh cadence, and links to the full methodology page.
Input Schema
{
"type": "object",
"properties": {}
}Community
Evidence