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

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

Premation

Freemium

Professional motion design studio with WebGPU rendering, rigging, and an AI assistant that edits your timeline through natural language.

WebGPU Deterministic Rendering: Preview and final export are rendered by the same frame loop, so the approved frame is bit-identical to the shipped frame and re-renders reproduce identical output.
Graph Editor with Keyframe Assistants: Edit value and velocity curves directly, with linear/ease/hold/custom bezier easing and independent X/Y position tracks.
2.5D Cameras and Lights: Promote any layer to 3D for Z position and rotation, with one- and two-node cameras, depth of field, cone-angle lights, and shadows editable in orthographic views.
Per-Glyph Text Animators: A real selector stack animates position, scale, rotation, opacity, tracking, or colour across characters, words, or lines with range and wiggly selectors.
Rigging with Bones and Puppet Pins: Forward kinematics with FABRIK IK and linear blend skinning, plus an ARAP puppet-pin solver on triangulated meshes.
AI Assistant Through Tool Registry: Describe motion in natural language and the assistant inserts layers, sets keyframes, and staggers timing through the same commands the UI uses.
Multi-Format Export Pipeline: One deterministic loop feeds MP4 H.264, WebM VP9+alpha, MOV ProRes 4444, GIF, PNG sequences, Lottie, and image sequences, with alpha-channel support where applicable.
Nestable Compositions: Multiple compositions per project, each with its own size, frame rate, and duration, nestable as sealed pre-comps with time remapping.

Title Card Production: Compose, animate, and export ten-second title cards without round-tripping between four separate applications.
Motion Design Studios: Deliver client work with deterministic re-renders that resume identical frames after crashes and produce identical output on two machines.
Character Rigging Shorts: Rig flat artwork with bones and IK plus puppet pins to animate characters or mascots for social and product videos.
Explainer Video Production: Build multi-layer explainers with cameras, lights, per-glyph text, and deterministic particles that reproduce exactly on re-render.
Web-Delivered Animations: Export vector Lottie JSON alongside raster WebM+alpha for the same shot from one project.
AI-Assisted Motion Iteration: Prompt the assistant to stagger cards, add cameras, or animate text and undo instantly if the result isn't right.

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.