Bob's CLI vs Visiby: Features, Pricing & Which Is Better (2026)

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

Bob's CLI

Doist

Free

Command-line interface to query HiBob employee directory and who’s out, with machine-readable outputs and agent-skill integration.

Employee Directory Queries: CLI commands to search and retrieve HiBob employee records (by name, team, location) and current out-of-office status to support integrations and scripts.
Multiple Output Formats: Native support for --json, --ndjson and --full outputs allowing easy parsing by other tools and automation pipelines.
Environment Variable Authentication: Credentials are set via environment variables to enable secure, scriptable usage in local shells, CI, and containers.
Agent Skill Installation: Installs a SKILL.md into configurable agent skill directories (e.g., ~/.claude/, ~/.agents/) so coding agents can automatically use the CLI as a skill.
CI & Release Integration: Provides an npm-centric development workflow (npm ci, npm run build, npm test) and is structured for use in CI pipelines and releases.
Uninstall and Local Setup Helpers: Includes instructions and scripts for local setup and clean uninstallation, useful for ephemeral CI runners and developer machines.
Query HiBob employee directory and who’s out from the terminal
Supports output formats: --json, --ndjson, --full
Installable as agent skills to coding agent directories (e.g., ~/.claude/, ~/.agents/)
Credentials supplied via environment variables for non-interactive/CI use
TypeScript codebase with standard build/test scripts (npm ci, npm run build, npm test)
Repository includes CI workflow and release configuration
Uninstallation flow includes removing agent skills then uninstalling the CLI

Automating pre-deployment checks: query who’s out in relevant teams before scheduling deployments or maintenance windows.
Integrating directory lookups into CI jobs: use json/ndjson outputs in CI scripts to gate builds or route notifications to on-duty team members.
Enabling coding agent access: install the SKILL.md for code assistants so they can answer developer questions about colleague availability or contact details.
Exporting HR snapshots: produce JSON exports for HR analytics or sync tooling that ingest employee contact and out-of-office statuses.
On-call and incident automation: query current team availability and route incident pages or alerts to available engineers programmatically.
Automated scripts that fetch employee directory or out-of-office data for dashboards
CI jobs that need to query Bob directory information as part of deployments or notifications
Coding agents (local AI assistants) that read employee data via installed skills
Ad-hoc terminal queries by HR or engineering teams for availability and directory lookups
Integration into internal tooling pipelines that accept machine-readable (JSON/NDJSON) output

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.