Hand Wave vs Visiby: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Hand Wave and Visiby — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Hand Wave

Aadi Sanghvi

Free

Real-time sign language recognition for a webcam or screen share that turns hand signs into text and speech in the browser.

Live Camera Recognition: Recognises sign language directly from the device webcam without an install.
Screen Share Recognition: Runs against any screen share, so signs in a video call can be captioned live.
Text and Speech Output: Emits the recognised signs as caption text and can speak them out loud.
On-Device Vision: Model runs in the browser tab — the video stream is not uploaded to a server.
Zero-Setup Web App: Opens in the browser with two buttons — Start Camera or Share Screen.
Smart-Glasses Friendly: Designed to work with a phone or smart-glasses camera feed for real-world conversations.

Deaf-Hearing Conversations: Sign into the camera and let a hearing person read or hear the translation live.
Accessible Video Calls: Add a live sign-to-text overlay to Zoom/Meet calls via screen share.
Live Stream Captions: Twitch or YouTube creators who sign can auto-caption their broadcast.
Classroom and Meeting Access: A Deaf student or colleague signs, everyone else sees text in real time.
Assistive Wearables: Pair with smart glasses so signs are turned into audible speech for the person opposite.

FNA Technology

Paid

AI visibility platform that tracks how ChatGPT, Perplexity, Claude, Gemini and AI Overviews cite your brand, and ships fixes.

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.

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.