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

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

Prism

Freemium

A native macOS AI workspace with multi-provider chat, hosted models, an MCP registry, and @-tools.

Multi-Provider Chat: Use GPT-5.5, Claude Opus, Gemini, and local models and compare providers side by side in one workspace.
Prism Hosted: Access frontier models for reasoning, coding, and long-context work without bringing your own API key.
Quick AI: Summon any model from any macOS app without breaking your flow.
MCP Registry and @-Tools: Curated MCP servers with saved credentials and @-mention tools for file, quiz, and flash-card flows inside the thread.
Local Proxy: An OpenAI-compatible local proxy on paid plans routes external IDEs and CLIs like Claude Code through your configured models.
Native macOS Design: A single SwiftUI window for chat, tools, and history built specifically for Mac.

Comparing Models Side by Side: Test the same prompt across multiple providers and pick the best answer.
Key-Free Frontier Access: Use top hosted models through Prism Hosted without managing your own API keys.
In-App AI Anywhere: Trigger Quick AI from any Mac app to draft or answer without switching context.
Routing Coding CLIs: Point Claude Code and other CLIs at the local proxy to use Prism-configured models.
Tool-Augmented Chat: Use MCP servers and @-tools to run file, quiz, and flash-card workflows directly in chat.

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.