How do I install the CLI?

Download the archive for your operating system from GitHub Releases, extract the `llmpulse` binary, and place it on your `PATH`. Rust developers can also build the source with Cargo.

Do I need a separate API key for the CLI?

Yes. The CLI uses the same API key as the REST API. Generate one from your LLM Pulse dashboard under Settings > API Keys.

Can I use the CLI output in scripts?

The CLI outputs JSON by default, making it easy to pipe to jq or other tools. You can also use the `--format` flag for table or CSV output.

Can I use the CLI in CI/CD pipelines?

Yes. Environment variable support, predictable exit codes, and JSON or CSV output make it suitable for CI/CD pipelines, cron jobs, and monitoring scripts.

What platforms does the CLI support?

Native release archives are built for macOS on Intel and Apple Silicon, Linux on x86-64, and Windows on x86-64.

Command Line

Monitor AI visibility from your terminal

Install the LLM Pulse CLI to pull AI visibility data, automate reports, and integrate monitoring into your development workflows, all from your terminal.

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Install the CLI

Use a native release binary or build the CLI from source with Rust and Cargo.

GitHub Releases github.com

Download the archive for your operating system

Build from source github.com

cargo install --git https://github.com/LLM-Pulse/llmpulse-cli --locked

Available on

GitHub Releases

Features

Your AI visibility toolkit in the terminal

The LLM Pulse CLI brings AI visibility data to your terminal. Automate, script, and integrate.

Automate Your Workflows

Run visibility checks, pull reports, and trigger analyses from your terminal. Perfect for CI/CD pipelines and automated monitoring.

Scriptable & Pipeable

Pipe output to other tools, parse JSON responses, and build custom workflows. Works with jq, grep, and your existing scripts.

Instant Access

No browser needed. Get visibility data, mention counts, and sentiment scores in seconds from your terminal.

Multiple Environments

Manage multiple projects and API keys. Switch between staging and production environments with simple flags.

Works Everywhere

Native Rust binaries are available for macOS, Linux, and Windows. No JavaScript runtime is required.

Pipeline Ready

Add AI visibility checks to your deployment pipeline. Get alerts when visibility drops after content changes.

Get started in 3 steps

Install, authenticate, and start pulling AI visibility data in minutes

1

Install

Download the release archive for macOS, Linux, or Windows, then place the `llmpulse` binary on your `PATH`.
2

Authenticate

Run `llmpulse login` and enter your API key. The CLI verifies the key and stores its configuration with owner-only permissions.
3

Start Monitoring

Pull visibility data, check mentions, export reports, and set up automated monitoring, all from your terminal.

Who uses the CLI

Built for technical teams who prefer the command line

Developers

Integrate AI visibility checks into your build pipeline. Catch visibility drops before they reach production.

DevOps & SRE

Set up automated monitoring and alerting. Get notified when AI mentions or sentiment change significantly.

SEO Engineers

Pull bulk reports, compare time periods, and export data for analysis, faster than clicking through dashboards.

Automation Scripts

Build custom monitoring workflows. Combine with cron, webhooks, or CI/CD for fully automated AI visibility tracking.

"After noticing rising visits from various LLMs in GA4, we needed visibility into those black boxes: which models were mentioning us, in which answers, and how that was changing over time. LLM Pulse gave us the clarity to understand our brand's evolution across AI models and to shape new strategies to boost our exposure."

Victor Hernández

Casa Batlló

Frequently Asked Questions

Common questions about the LLM Pulse CLI.

: Download the archive for your operating system from GitHub Releases, extract the `llmpulse` binary, and place it on your `PATH`. Rust developers can also build the source with Cargo.
: Yes. The CLI uses the same API key as the REST API. Generate one from your LLM Pulse dashboard under Settings > API Keys.
: The CLI outputs JSON by default, making it easy to pipe to jq or other tools. You can also use the `--format` flag for table or CSV output.
: Yes. Environment variable support, predictable exit codes, and JSON or CSV output make it suitable for CI/CD pipelines, cron jobs, and monitoring scripts.
: Native release archives are built for macOS on Intel and Apple Silicon, Linux on x86-64, and Windows on x86-64.

Ready to get started?

Install the LLM Pulse CLI and start monitoring AI visibility from your terminal today.