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Open source AI visibility trackers

A self-hosted AI visibility tracker can give you data control, but it still needs reliable collection and maintenance.

open source

A self-hosted monitoring platform for tracking brand visibility across AI search experiences.

Last checked: 2026-07-23.

open source

A self-hosted product interface for collecting and reviewing AI search visibility checks.

Best for: Users willing to operate browser-based collection.
Software cost: Free open-source software
Runtime / provider cost: Hosting and any model or browser-service costs.
Setup effort: High
Maintenance effort: High
Skill level: Advanced
License: MIT
Status: Verified
Data location: Your self-hosted deployment.
Limitation: Browser authentication and automation require ongoing maintenance.
Source: Repository
Last checked: 2026-07-23

Last checked: 2026-07-23.

open source

A feature-rich self-hosted tracker for visibility and citations across answer engines.

Best for: Technical users who accept external-service operating costs.
Software cost: Free open-source software
Runtime / provider cost: Bright Data and model-provider costs.
Setup effort: High
Maintenance effort: Medium
Skill level: Advanced
License: MIT
Status: Verified
Data location: Your self-hosted deployment and connected providers.
Limitation: Requires paid Bright Data and model-provider accounts for full operation.
Source: Repository
Last checked: 2026-07-23

Last checked: 2026-07-23.

Before deploying: review the repository, license, provider dependencies, secrets handling, and the practical cost of operating the stack.

Open source AI visibility trackers should be compared by deployment burden, provider costs, and operating limits.