tterm vs Visiby: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of tterm and Visiby — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
t
tterm
Tanay Gondil
Free macOS workspace that unites a terminal, a real Chromium browser, and Claude Code in one hot-reloadable, self-building window.
Key features
- Self-Building Workspace: ⌘K invokes Claude Code on tterm's own source and hot-reloads the running app so you can extend the tool from inside itself.
- Row-Per-Project Layout: Every project gets its own row containing an explorer, a Claude Code session, and a file viewer, so multiple projects stack side by side.
- Embedded Real Browser: ⌘B opens a Chromium tab inside tterm that inherits your Chrome cookies, bookmarks, and history — favicons and all.
- Diff-Only Review: ⌘G opens a hunk-level diff reviewer for staging and committing changes; there's no editor by design, so you review instead of retype.
- Command-Palette Shortcuts: ⌘K palette, ⌘O projects, ⌘P quick open, ⌘⇧F search, ⌘F find, ⌘⇧M for CLAUDE.md, and more make navigation keyboard-first.
- Terminal-Respecting Key Handling: Only ⌘-chords are intercepted by tterm; every ⌃-key passes through to the pty untouched, so terminal apps keep working.
- Privacy by Default: No account, no telemetry, and no network calls home — the app is a single ad-hoc-signed hobby build.
Best for
- AI-Paired Coding: Keep Claude Code, your terminal, and docs in one window while pairing with an LLM on a project.
- Multi-Project Juggling: Stack several concurrent projects as rows so you can jump between them without alt-tabbing.
- Doc-Grounded Development: Use the embedded browser to keep API docs open next to your terminal and diff without leaving the app.
- Focused Diff Review: Review and stage AI-generated changes hunk by hunk before committing, rather than editing in place.
- Hobbyist macOS Tinkering: Extend the tool itself from inside via Claude Code, treating tterm as a live playground.
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.
