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Send us an email and we will typically respond within 24 hours: support@promptalyze.com

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Frequently Asked Questions

What is Promptalyze?

Promptalyze is AI Answer Intelligence: it shows you what AI systems actually say about your brand, whether those answers are accurate, what evidence supports them, and what to act on next. It's built around proof — exact answer snapshots, citations, and diffs — not just scores.

How is Promptalyze different from a rank tracker or generic AI visibility tool?

Traditional trackers answer "where do I rank?" Promptalyze answers "what is AI saying about us, is it correct, and what proves it?" Every metric is inspectable down to the raw answer, its sources, and how it changed over time. We don't hide evidence behind a score.

Which AI providers does Promptalyze monitor?

Promptalyze uses a provider-adapter framework so coverage can grow across multiple AI systems without being locked to one vendor. Each monitored question is run against the configured providers and the raw response is preserved as evidence.

What evidence does Promptalyze capture?

For every monitored question, Promptalyze stores the exact answer text, the citations the AI used, timestamps, parsed mentions of your brand and competitors, and diffs against previous snapshots. Diagnostics always link back to this concrete evidence.

Is Promptalyze for solo users or only teams?

Both are first-class. A single founder with one project works exactly as smoothly as a team or agency managing many — every account has a personal workspace, with optional team workspaces when you need them.

How does Promptalyze handle accuracy?

Promptalyze flags risky answer changes and supports a review workflow against a registry of critical facts, so you can judge whether an AI's description of you is correct. It surfaces evidence for human review — it does not claim to automatically verify semantic truth.

Report a Problem

Have you found a bug or is something not working as expected? Please send us an email at support@promptalyze.com with:

  • Description of the problem
  • Steps to reproduce (if possible)
  • Screenshots (if helpful)
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