**Purpose**

Execute off-page authority creation and discovery acceleration through controlled distribution, cloud asset publishing, and forced indexation.

## Primary Function

Create, deploy, and surface authority signals (links, mentions, indexed URLs) that support ranking, discovery, and trust for target pages.

## UI Entry Point

**Left Sidebar → Authority → PR Distribution (Press Releases)**

Subsections:

- 📰 PR Distribution
- ☁️ Cloud Stacks
- 🧷 Indexer

## Inputs

### Common Inputs (shared across tools)

- Project context (OTTO Project, optional GBP Project)
- Target URL (page receiving authority)
- Keywords (topical alignment)
- Knowledge Graph data (business info, location, authorship)
- Media assets (logo, images, optional video)
- Social profile URLs

## Core Actions

### 📰 PR Distribution

**Action:** Distribute press releases across selected media channels.

**User actions:**

- Create press release
- Populate Knowledge Graph fields
- Select distribution category and tiers
- Review credit summary
- Publish to selected channels

**Execution characteristics:**

- Multi-step workflow with approval points
- Channel-based distribution
- Optional content variation and indexing services

### ☁️ Cloud Stacks

**Action:** Publish AI-generated articles across cloud-hosted platforms with backlinks.

**User actions:**

- Create Cloud Stack
- Attach project and target URL
- Provide contextual business data
- Select cloud platforms (up to 14)
- Publish stack

**Execution characteristics:**

- Fixed credit cost regardless of number of platforms
- Distributed asset deployment
- Embedded backlinks to target URL

### 🧷 Indexer

**Action:** Submit URLs for accelerated indexation.

**User actions:**

- Create indexing batch
- Provide batch name
- Submit URLs (one per line)

**Execution characteristics:**

- Batch-based submission
- Status tracking per batch
- Used post-publication or post-link acquisition

## State Changes

### PR Distribution

- Draft → Ready → Published
- Unpublished/Generated PRs expose a “Resume” action
- Published PRs populate publish date and status

### Cloud Stacks

- Draft → Select Sites → Published
- Published state shows “Published X of 14 Sites”

### Indexer

- Submitted → Processing → Indexed (partial or complete)

## Outputs

1. Backlinks to target URLs
2. Brand mentions across distributed assets
3. Indexed URLs discoverable by search engines
4. Authority signals supporting ranking and trust

## Dependencies

1. Indexer is commonly used after:

   - PR Distribution
   - Cloud Stack publication
2. Knowledge Graph accuracy affects:

   - Content consistency
   - Entity alignment
3. Credit availability gates execution

## Non-Goals

1. Does not perform:

   - Outreach negotiation
   - Publisher relationship management
   - LLM answer optimization
2. Does not replace:

   - Digital PR campaigns
   - QUEST analysis
   - Template-based scaling

## Notes & Tips

1. 📝 Index newly published PR and Cloud Stack URLs to reduce discovery lag.
2. 📝 Cloud Stacks should target specific URLs, not entire domains.
3. 📝 Review credit summary before publishing PR Distribution to avoid unexpected spend.
4. 💡 Authority Building tools are execution-focused and designed to be combined, not used in isolation.

This article defines the **execution layer** of Authority in Search Atlas. It describes how authority signals are created, deployed, and surfaced through controlled distribution, cloud-based publishing, and indexation workflows.

Each component in this layer is designed to operate independently while producing outputs that can be consumed by downstream systems, including indexing services, Digital PR, and AI Visibility (formerly LLM Visibility) workflows. No strategic interpretation or outreach logic is applied at this stage, only execution, state transitions, and measurable outputs.

For research, opportunity discovery, and AI visibility, refer to the dedicated QUEST documentation. For outreach orchestration and response management, see the Digital PR and Templates execution layers.

This separation ensures Authority remains modular, predictable, and scalable across different visibility and ranking use cases.