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

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

Backgrind

Freemium

Always-on-top desktop overlay for macOS and Windows that runs your AI coding agent and pings you only when it needs approval or input.

Always-On-Top Overlay: Floats your coding agent over any app, editor, browser or fullscreen game so it stays in view.
Bring Your Own Agent: Works as a thin frontend over Claude Code, Cursor or a Backgrind-hosted model using your existing login and history.
Attention-Only Alerts: Stays quiet while the agent works and flashes or chimes only when it needs approval or input.
Inline Approvals: Surfaces command-run and dependency-install requests so you can approve or reject them in place.
Customizable Window: Drag, stretch, recolor and fade the floating window to fit your workspace.
Cross-Platform: Available for both macOS and Windows.

Background Coding: Kick off a refactor or build and keep working elsewhere until the agent needs you.
Supervising Multiple Agents: Keep several agent sessions visible in floating windows at once.
Vibe Coding: Let casual builders run an agent without learning a full IDE workflow.
Long-Running Tasks: Monitor test runs and multi-step builds without staring at a terminal.
Approval Gating: Review and authorize potentially risky commands before they execute.

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.