CodeBurn vs Visiby: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of CodeBurn and Visiby — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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CodeBurn
AgentSeal
Free, local-first CLI and macOS menubar app that tracks AI coding token usage and cost across 36+ tools like Claude Code, Cursor, Codex, and Gemini CLI.
Key features
- Multi-tool cost tracking: Reads on-disk session files from 36+ AI coding tools including Claude Code, Cursor, Codex, Copilot, Gemini CLI, Kiro, OpenCode, and Goose and unifies them into one dashboard.
- Local-first architecture: No proxy, no wrapper, no API key, and nothing leaves the machine — everything is computed from the session files the tools already write.
- Task classification: Deterministically buckets every AI turn into categories like Coding, Debugging, Feature Development, Refactoring, and Testing without any additional LLM calls.
- Per-project and per-model breakdowns: Slices cost and token counts by project, model, tool, and task so developers can see which repos or models drive the bill.
- `codeburn optimize` grader: Grades the developer's setup A through F and flags duplicate file reads, context bloat, and ghost agents, with one command to apply the fixes and per-change undo.
- TUI and menubar UIs: Ships as both a terminal TUI dashboard for deep dives and a macOS menubar app for at-a-glance daily spend.
Best for
- Solo developer cost visibility: An indie dev running Claude Code and Cursor side by side sees which sessions burned the most tokens and adjusts their workflow.
- Team AI budget attribution: Engineering managers roll up per-project spend to attribute AI costs to specific product areas or clients.
- Debugging runaway sessions: When a coding agent burns thousands of tokens on one task, CodeBurn's classification pinpoints which turn category exploded.
- Optimizing agent setups: Running `codeburn optimize` on a laptop grades the AI setup and removes duplicate context that quietly inflates every prompt.
- Comparing model economics: Developers evaluate whether to move a task category from a frontier model to a cheaper one by looking at CodeBurn's per-model breakdown.
Visiby
FNA Technology
AI visibility platform that tracks how ChatGPT, Perplexity, Claude, Gemini and AI Overviews cite your brand, and ships fixes.
Key features
- 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.
Best for
- 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.