Juno vs Visiby: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Juno and Visiby — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
J
Juno
Juno
Free local voice layer for Mac that turns speech into clean text in any app with live transcription, voice actions, and offline private dictation.
Key features
- Live Transcription HUD: Shows your spoken words in real time in an on-screen heads-up display as you talk.
- System-Wide Dictation: Inserts clean, formatted text directly into whatever Mac app you are currently using.
- Voice Actions: Edit and format text hands-free using spoken instructions.
- Voice Commands: Trigger actions and shortcuts with your voice.
- Offline Private Mode: Processes dictation locally on your Mac after setup, with no cloud dependency.
- No Account Required: Works with no sign-in, no card, and no subscription.
Best for
- Hands-Free Writing: Dictate emails, notes, and documents directly into any Mac app.
- Private Dictation: Transcribe sensitive content fully offline without sending audio to the cloud.
- Faster Drafting: Capture thoughts quickly by speaking instead of typing.
- Accessibility: Provide a voice-driven input method for users who find typing difficult.
- Coding & Chat Prompts: Speak prompts and messages into editors and chat tools without breaking flow.
Visiby
FNA Technology
AI visibility platform that tracks how ChatGPT, Perplexity, Claude, Gemini and AI Overviews cite your brand, and ships fixes.
Key features
- AI Citation Tracking: Continuously samples roughly 50,000 prompts per week across ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews to record where and how a brand is cited.
- Per-Engine Visibility Scoring: Reports a composite AI Visibility score plus share of voice and prompts won or lost, broken out engine by engine so declines can be traced to a specific model.
- Prompts & Citations Explorer: Lets teams open any tracked prompt and read the actual model answer to see which competitor was named and why.
- Brand Entity Analysis: Maps the adjectives each engine associates with your brand versus competitors and suggests reframing plays to change that portrait.
- Competitor Intelligence: Tracks rival citation share on comparison and 'alternatives to' prompts, highlighting categories where a competitor dominates.
- Prioritized Action Plan: Converts findings into P0/P1 recommendations such as schema additions or comparison pages, each with a time estimate and projected score gain.
- Site Audit for AI Parseability: Audits pages for missing entity definitions, structured Q&A data and other signals that prevent models from citing the site correctly.
- White-Label Reporting and API: Higher tiers add white-label client reports, SSO/SAML and API access for agencies managing multiple brands.
Best for
- AI Search Monitoring: Marketing teams track whether ChatGPT and Perplexity recommend their product or a competitor on high-intent category prompts.
- Competitive Benchmarking: Brands quantify how much citation share a named rival is capturing on 'alternatives to' and 'best of' queries.
- Content Prioritization: Content teams decide which pages to write or refresh based on which prompts are currently missed rather than on keyword volume alone.
- Technical AEO Audits: SEO specialists find pages lacking FAQ schema or entity markers that keep answer engines from parsing them.
- Agency Client Reporting: Agencies run pooled prompt tracking across multiple client workspaces and deliver white-label AI visibility reports.
- Executive Reporting: Operators present a weekly digest showing search clicks alongside AI citation share to explain traffic shifts leadership sees.
