# AI Visibility Tracker

> Developer documentation for the AI Visibility Tracker — tracking brand visibility across AI search and LLM answers.

## Docs

- [Data model](https://docs.theaitracker.com/architecture/data-model.md): The core Eloquent models and how they relate.
- [Architecture overview](https://docs.theaitracker.com/architecture/overview.md): How requests, queued jobs and scoring fit together.
- [Jobs and scheduling](https://docs.theaitracker.com/architecture/scheduling.md): What runs automatically, when, and how to operate it.
- [Visibility pipeline](https://docs.theaitracker.com/architecture/visibility-pipeline.md): From an active prompt to a visibility score.
- [AI providers](https://docs.theaitracker.com/configuration/ai-providers.md): Provider configuration, model defaults, rate limits and cost tracking.
- [Environment reference](https://docs.theaitracker.com/configuration/environment.md): Every environment variable the app reads, grouped by concern.
- [Integrations](https://docs.theaitracker.com/configuration/integrations.md): Google, Bing, Clerk, Polar and the supporting third-party services.
- [Editing these docs](https://docs.theaitracker.com/contributing/documentation.md): How the Mintlify documentation is structured and previewed.
- [Contributing](https://docs.theaitracker.com/contributing/workflow.md): Branching, formatting, tests and CI conventions.
- [Development](https://docs.theaitracker.com/development.md): Day-to-day commands for building, testing and formatting the project.
- [AI Visibility Tracker](https://docs.theaitracker.com/index.md): How the application measures brand visibility across AI search engines and LLM answers.
- [Quickstart](https://docs.theaitracker.com/quickstart.md): Run AI Visibility Tracker locally from a fresh clone.