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Check AI visibility and compare software using measured AI answer data.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.orbator/orbator-mcp" MCP server from askskill: Run: claude mcp add --transport http 'io-orbator-orbator-mcp' 'https://api.orbator.io/api/mcp'
Using measurable AI answer data, analyze the brand visibility of my product 'Acme CRM' across common AI assistants. Show which software recommendation queries mention it, how often it appears, gaps versus key competitors, and suggestions to improve visibility.
A brand visibility analysis with query types, mention frequency, competitor comparison, and optimization suggestions.
Compare Notion, Confluence, and Coda in AI recommendation answers. Summarize how often each is recommended for team wikis, collaborative project documentation, and internal document management, plus the common reasons, strengths, and weaknesses.
A scenario-based comparison report showing recommendation frequency, reasons, and competitive positioning.
My product is a DevOps monitoring tool for small and midsize teams. Analyze which related AI queries most often recommend Datadog, New Relic, and Grafana while rarely mentioning newer brands, and identify the niche scenarios and keywords where I have the best chance to break in.
An opportunity analysis highlighting high-value queries, competitor strengths, and niche scenarios and keywords to target.
Monitor competitors automatically and summarize market intelligence and trend changes.
Detect AI-generated content, check plagiarism, analyze images, and compare texts.
Check recalls and scam signals before purchases with clear risk verdicts.
Analyze code, collect code assets, and generate technical documentation automatically.
Assess EU AI Act compliance locally, obligations, deadlines, and documentation gaps.
Find minimal variable fixes that make equations valid from noisy OCR data.