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AI Visibility Scorecard

VoiceboxMD

VoiceboxMD

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voiceboxmd.com · Healthcare

Somewhat visible. AI bots can read VoiceboxMD, but it is missing the structured signals that push citation rate above competitors.

AI engines read this profile 4 times

Meta AI · Claude · Apple Intelligence

#3,240 of 834,698 in Healthcare for AI visibility

6.7

/10

AEO Score

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About VoiceboxMD

from our crawl and measurement

VoiceboxMD, based in Wayne, NJ, describes itself simply: "HIPAA-compliant medical dictation and AI scribe software for physicians." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.7 out of 10, readable in places and missing in others.

Our crawl found structured data on the page (BreadcrumbList, WebSite, Organization), an llms.txt file for AI models and a sitemap.

AI crawlers have visited 4 times in our tracking, including ClaudeBot (Anthropic), Meta AI and Applebot (Siri).

Industry · Healthcare
Last scored · Jul 31, 2026

The 6 signals AI reads

Higher is better · 0-10

Structured Data

10

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

10

Clear headings and answer-style content.

Entity Clarity

9

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

5

Experience, Expertise, Authority, Trust markers.

Technical AEO

10

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

9

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

9

Inbound links from other sites.

Domain Authority

4

Established authority for your domain.

Reference Presence

0

Not in AI knowledge graphs yet.

News & Press

0

No press coverage found yet.

Community

0

No community discussion yet.

Social Mentions

0

No social discussion found yet.

What this score means

Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 6.7/10, VoiceboxMD has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

What is VoiceboxMD and how does the medical dictation software work?

VoiceboxMD is an advanced cloud-based medical dictation software designed to convert physician speech into text in real time, using a proprietary medical speech recognition engine. Users can speak naturally into a microphone connected to their computer or mobile device, with transcribed text inserted at the active cursor in EHR systems such as Epic, Cerner, athenahealth, eClinicalWorks, and Practice Fusion. The engine adapts to individual voices, accents, and specialty terminology over time, achieving up to 99% accuracy. It also includes a Clinical Notepad for structured SOAP and H&P notes, cu

Which EHR systems does VoiceboxMD integrate with?

VoiceboxMD is EHR-agnostic. It works with any EHR that accepts keyboard input, including Epic, Cerner, athenahealth, eClinicalWorks, Practice Fusion, Kareo, NextGen, AdvancedMD, and DrChrono. The software uses intelligent cursor positioning to place dictated text directly into the active field without copy-paste. Cloud-based, on-premise, and Citrix-hosted environments are supported.

Does VoiceboxMD work on Mac, Windows, and mobile devices?

Yes. VoiceboxMD runs natively on Windows 10+, macOS 11+ (including Apple Silicon M1-M4 and Intel Macs), and iOS 15+. Dictate patient notes on your iPhone between exam rooms, and transcribed notes sync automatically to your Mac or PC workstation. All data is encrypted end-to-end and HIPAA-compliant across every device.

Does VoiceboxMD work in Citrix, VMware, and remote desktop environments?

Yes. VoiceboxMD works in virtualized environments including Citrix, VMware, and Windows Remote Desktop. Because it operates at the application level using intelligent cursor positioning rather than low-level OS hooks, it avoids common VDI compatibility issues. Enable Remote Desktop Mode in Preferences and dictate normally. This is ideal for hospital systems and multi-location practices using centralized desktop environments.

What microphone do I need for medical dictation?

VoiceboxMD supports built-in laptop microphones, USB headsets, and professional-grade desktop microphones. Most modern built-in microphones work well for daily clinical use. For noisy clinic environments, a USB noise-cancelling headset is recommended for best accuracy. The iOS app uses your iPhone microphone. Recommended options: https://voiceboxmd.com/supported-microphones/.

How accurate is VoiceboxMD with medical terminology and drug names?

VoiceboxMD achieves 99% transcription accuracy using a specialized vocabulary engine trained on millions of clinical records. The system recognizes 100,000+ medical terms across 100+ specialties, including drug names, ICD-10 codes, CPT codes, anatomical terms, surgical procedures, and clinical abbreviations. A self-learning AI adapts to your voice, accent, and documentation style with every session. You can also add custom terms specific to your practice.

Does VoiceboxMD work well with accents or non-native English speakers?

Yes. VoiceboxMD is designed to recognize diverse accents, speech patterns, and non-native English pronunciation. The machine-learning engine adapts to individual voice characteristics during an initial learning period, typically 1-2 weeks of regular use, and continues improving over time.

What medical specialties does VoiceboxMD support?

VoiceboxMD supports medical and dental specialties including family medicine, internal medicine, cardiology, dermatology, orthopedics, psychiatry, pediatrics, OB/GYN, neurology, gastroenterology, pulmonology, ophthalmology, ENT, urgent care, emergency medicine, general dentistry, periodontics, oral surgery, and 100+ others. The AI recognizes specialty terminology out of the box, and you can add custom terms for your practice.

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The exact fixes for VoiceboxMD

Which AI engines already crawl you

Weekly ChatGPT & Claude citation tracking

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Picked for VoiceboxMD: AEO & AI Search

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Source & Attribution

Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/voiceboxmd

Cite this score: Engagemii (2026). "AEO Score for VoiceboxMD." Retrieved from https://engagemii.com/aeo/brands/voiceboxmd

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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