> ## Documentation Index
> Fetch the complete documentation index at: https://docs.texta.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Texta Documentation

> User documentation for tracking and improving AI visibility with Texta.

# Texta Documentation

Texta helps marketing teams understand how brands appear in AI-generated answers and what to do next to improve visibility.

## What Texta helps you do

* Track prompt-level visibility across major AI models.
* Benchmark your brand against direct competitors.
* Analyze source domains and URLs used in model responses.
* Prioritize owned and earned actions from one workflow.

## How this documentation is organized

* **Getting Started**: first setup and first-week execution plan.
* **Setup**: prompts, brands, tags, and topic organization.
* **Analytics**: how to read overview, ranking, chats, and sources.
* **Actions**: how to execute owned, earned, and impact workflows.
* **Metrics**: definitions and interpretation guidelines.
* **Workspace**: team access, billing, security, and common questions.

## Start here

1. Follow [Quickstart](/getting-started/quickstart).
2. Run the [First Week Plan](/getting-started/first-week-plan).
3. Configure [Prompts](/setup/prompts) and [Brands](/setup/brands).
4. Read [Sources](/analytics/sources) and [Actions](/actions/introduction).

## Before you share docs externally

* Keep docs user-facing.
* Do not include internal code, secrets, or private endpoints.
* Use examples with anonymized data.