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

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

Locofy

Locofy.ai

Freemium

AI design-to-code tool that converts Figma and Penpot designs into production-ready React, Vue, HTML-CSS, React Native, and Flutter code.

Locofy Lightning: One-click AI conversion of Figma or Penpot designs into responsive, component-based frontend code using Large Design Models.
Multi-Framework Export: Generates code for React, Vue, Angular, Next.js, Gatsby, HTML-CSS, React Native, and Flutter.
Auto Components & Responsiveness: Automatically detects reusable components and makes layouts responsive across breakpoints.
Design Tool Integration: Works as a plugin inside Figma and Penpot to convert designs without leaving the canvas.
Agentic Dev Handoff: Acts as a frontend layer between design files and AI code editors like Cursor and Claude.
Code Sync & Export: Pushes generated code to a repository or dev environment so design and code stay in sync.

Rapid Prototyping: Convert a Figma mockup into a working frontend prototype in minutes instead of hand-coding it.
Design-to-Dev Handoff: Hand developers clean, structured code generated directly from designer files.
Frontend Acceleration: Cut UI coding time significantly when building React or React Native interfaces.
Cross-Platform Builds: Generate both web and mobile UI code from a single design source.
Legacy Workflow Modernization: Bridge existing Figma libraries into modern component-based codebases.

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.