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Monroya AI

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(1)5.0/5

Monroya.ai shows B2B companies where they appear, and where they don't, in AI-generated responses across ChatGPT, Claude, Gemini, and Perplexity. Most tools stop at whether you're mentioned. Monroya goes a level deeper: it separates being named from being cited. A company can come up constantly in AI answers and still get zero credit, no link back, no source citation, while a competitor with fewer mentions earns the actual recommendation. That distinction is usually invisible to a blended visibility score, and it's often the real reason a company isn't converting AI-driven attention into pipeline. The platform tracks the questions buyers actually ask AI tools at every stage of the purchase decision: Discovery (what solutions exist), Evaluation (comparing named vendors), Decision (validating the final choice), and Retention (whether existing customers are being pitched alternatives). Each tracked prompt runs multiple times per provider to account for response variance, since AI models don't give the same answer twice, and a single response is treated as noise until a pattern holds up across repeated checks. This produces an AI Share of Voice metric that compares visibility against named competitors at every stage, not just an overall score. AI visibility isn't a one-time audit. Models change, retrieval sources change, and what gets cited in your category can shift without any change on your end. Monroya continuously monitors for these shifts, not just your own site's changes, and adjusts what it recommends as citation patterns move. A company can do everything right today and lose ground tomorrow without knowing why; Monroya is built to catch that, not just report a static snapshot. Where Monroya differs from monitoring-only tools: every visibility gap becomes a prioritized, ranked action, not just a flagged problem. After an action is completed, the platform automatically re-scans the exact same prompt and shows the real before-and-after answer, confirming whether the fix actually changed what AI says, not just whether a score moved. Recommendations are ranked using that same confirmed-outcome data across accounts, so higher-priority suggestions are the ones with a track record of actually working, not a guess. Built for marketing teams at B2B companies who need to know what AI tells their buyers before those buyers ever reach the website. Includes: buyer-journey stage tracking (Discovery, Evaluation, Decision, Retention) across four AI providers, the mention-versus-citation distinction at the prompt level, competitor comparison by stage, automated before-and-after verification scans with real answer transcripts, AI-readiness site audits (schema, crawlability, structured data), content drafts for recommended actions, Reddit gap tracking for community-sourced citations, and continuous monitoring for shifts in citation patterns and AI model behavior over time.

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