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

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

Conan

Paid

Conan is a native macOS app that wraps Claude Code in a live HUD, surfacing every prompt, tool call, skill, and token in real time.

Live Timeline: Every command, edit, and tool call streams onto a living timeline as it happens.
Context Window Meter: Watch the context window fill across system, tools, memory, skills, and messages while tokens burn in real time.
Session Pulse: A live throughput pulse that spikes when Claude works and calms when it waits.
Skills & MCP Visibility: See every skill and MCP server in play, surfaced and observable as they fire.
Native macOS App: A native HUD for Apple silicon Macs running macOS 13+, with no subscription required.
Claude Radio: Built-in curated audio stations to score your coding sessions.

Monitoring Claude Code Sessions: Watch every prompt, tool call, and skill execution in real time without scrolling logs.
Token Budget Management: Track context window usage and token burn to avoid context rot and surprise costs.
Debugging Agent Behavior: Observe which skills and MCP servers fire to understand and debug agentic workflows.
Staying In Flow: Keep a glanceable HUD of session activity while focusing on the work itself.

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.