$ loading_
Audit brand visibility across AI engines and uncover competitive growth opportunities.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Sanbi ADK Agent MCP Server" yet — see the docs or source repo.
Run an AI brand visibility audit for "Acme Cloud" across major AI engines for the query "best cloud monitoring platforms." Summarize mention frequency, ranking position, mention context, and key strengths and weaknesses.
A cross-engine brand visibility report with mention counts, ranking performance, mention summaries, and diagnostic findings.
Create a competitive leaderboard for "AI project management tools" comparing Acme, Notion, Asana, and Monday across AI engine responses by appearance rate, relative ranking, and recommendation reasons, then produce an overall ranking.
A competitive visibility leaderboard showing each brand’s relative position in AI recommendations and the reasons behind the differences.
Analyze gaps in AI recommendations for "Acme Analytics." Identify missing core value propositions, competitor dimensions where it lags, and the highest-priority content and messaging opportunities, then provide actionable recommendations.
A growth opportunity list outlining content optimization directions, information gaps, and prioritized action recommendations.
Audit ad performance issues, duplicate copy, and ad-group context automatically.
Query Google ADK docs offline-first with vector search for AI understanding.
Audit MCP servers and AI packages for security and supply chain risks.
Access live ad platform data to analyze, audit, and improve campaign performance.
Compare AI models across providers by cost, performance, and capabilities.
An MCP server that audits growth, SEO, and safely fixes code issues.