A comprehensive readiness score, tier classification, and prioritized implementation roadmap for integrating AI recommendations into the business.
The agent collects the user's business size, data maturity level, and technical stack details. It optionally gathers specific goals such as lead generation or trust authority. The agent then calls the assess_ai_recommendation_readiness tool via the MCP server. Before acting, it verifies that the required inputs are present. It interprets the returned dimension scores and gap analysis to provide actionable advice.
- Category: Research and knowledge
- Effect: Read-only
- MCP servers: AI Recommendation Readiness Audit MCP (https://koskamo.com/explore/ai-recommendation-readiness-audit-mcp)
- Source: Developer & Agent Docs — AI Recommendation Readiness API | The Black Friday Agency (https://canairecommendmybusiness.com/docs)
- Source quote: "It is read-only: it performs no consequential actions and guarantees no ranking or recommendation."
- Playbook page: https://koskamo.com/explore/use-cases/assess-ai-recommendation-readiness
Prompt: Please assess my AI recommendation readiness. My business size is small, data maturity is developing, and technical stack is standard. My primary goals are ai_visibility and structured_data.