# Citedy AI Agents Reference

_Last updated: 29 January 2026_

## Definitions

- **AI visibility**: How often and in what context AI assistants mention a brand.
- **Credits**: Usage units billed per action (e.g., scans, generations).

## Breadcrumbs

Citedy > AI > Citedy AI Agents Reference

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Citedy uses a multi-agent architecture where specialized AI agents handle different aspects of content creation and analysis. This document describes each agent's capabilities.

## Content Generation Agents

### 1. ContentArchitect Agent

**Purpose**: Strategic content planning and topic clustering

**Capabilities**:

- Analyzes keyword opportunities and search intent
- Creates content calendars with topic hierarchies
- Identifies pillar content and supporting articles
- Maps internal linking structures

**Use Case**: Planning a comprehensive content strategy for a new product launch

---

### 2. SEOWriter Agent

**Purpose**: Creates SEO-optimized long-form content

**Capabilities**:

- Generates 2000-4000 word articles
- Optimizes for target keywords naturally
- Creates compelling headlines and meta descriptions
- Structures content with proper heading hierarchy
- Includes relevant internal and external links

**Use Case**: Producing blog posts that rank for competitive keywords

---

### 3. LocalizationExpert Agent

**Purpose**: Adapts content for international markets

**Capabilities**:

- Translates content while preserving SEO value
- Adapts cultural references and examples
- Localizes keywords based on regional search patterns
- Maintains brand voice across languages

**Supported Languages**: English, Spanish, German, French, Russian, Portuguese, Italian, Dutch, Polish

**Use Case**: Expanding English content library to European markets

---

### 4. TechnicalWriter Agent

**Purpose**: Creates documentation and technical content

**Capabilities**:

- API documentation generation
- Tutorial and how-to guide creation
- Code example integration
- Technical specification writing

**Use Case**: Producing developer documentation for SaaS products

---

## Analysis Agents

### 5. CompetitorIntel Agent

**Purpose**: Monitors and analyzes competitor presence

**Capabilities**:

- Tracks competitor mentions across AI platforms
- Analyzes competitor content strategies
- Identifies competitive content gaps
- Monitors SEO metrics changes

**Use Case**: Understanding why competitors rank higher for target keywords

---

### 6. AIVisibilityScout Agent

**Purpose**: Monitors brand presence in AI responses

**Capabilities**:

- Queries multiple AI platforms (ChatGPT, Claude, Perplexity, Gemini)
- Extracts brand mentions and context
- Analyzes sentiment of AI-generated recommendations
- Tracks visibility trends over time

**Use Case**: Measuring how AI assistants recommend your brand vs competitors

---

### 7. ContentGapAnalyzer Agent

**Purpose**: Identifies missing content opportunities

**Capabilities**:

- Compares your content against competitors
- Finds unanswered search queries in your niche
- Prioritizes opportunities by search volume and difficulty
- Suggests article outlines for gap topics

**Use Case**: Discovering high-value topics your competitors cover but you don't

---

### 8. SERPAnalyzer Agent

**Purpose**: Analyzes search result patterns

**Capabilities**:

- Monitors ranking positions for target keywords
- Analyzes SERP features (snippets, PAA, knowledge panels)
- Tracks competitor ranking changes
- Identifies optimization opportunities

**Use Case**: Understanding search intent for strategic keywords

---

## Optimization Agents

### 9. LinkBuilder Agent

**Purpose**: Manages internal linking strategy

**Capabilities**:

- Suggests relevant internal links for new content
- Identifies orphan pages needing links
- Creates anchor text recommendations
- Maps site architecture for optimal link flow

**Use Case**: Improving site structure and distributing page authority

---

### 10. SchemaOptimizer Agent

**Purpose**: Implements structured data markup

**Capabilities**:

- Generates JSON-LD schema markup
- Creates Article, FAQ, HowTo, and Product schemas
- Validates schema implementation
- Monitors rich snippet performance

**Use Case**: Enhancing search appearance with rich results

---

### 11. MetaOptimizer Agent

**Purpose**: Optimizes page-level SEO elements

**Capabilities**:

- Writes compelling title tags and meta descriptions
- Optimizes Open Graph and Twitter Card tags
- Creates canonical URL strategies
- Manages robots directives

**Use Case**: Improving click-through rates from search results

---

### 12. PerformanceAuditor Agent

**Purpose**: Monitors content and SEO health

**Capabilities**:

- Identifies declining content performance
- Suggests content refresh opportunities
- Monitors technical SEO issues
- Tracks Core Web Vitals impact

**Use Case**: Maintaining content quality and rankings over time

---

## Agent Orchestration

Citedy's orchestrator intelligently routes tasks to appropriate agents:

```
User Request → Task Classifier → Agent Selection → Execution → Quality Check → Delivery
```

Multiple agents can work in parallel for complex tasks:

**Example**: Creating a new blog post

1. ContentArchitect → outlines article structure
2. SEOWriter → generates content
3. LinkBuilder → adds internal links
4. SchemaOptimizer → creates structured data
5. MetaOptimizer → optimizes meta tags

## Agent Performance Metrics

| Agent              | Avg Response Time | Quality Score |
| ------------------ | ----------------- | ------------- |
| SEOWriter          | 45-90 seconds     | 94%           |
| AIVisibilityScout  | 30-60 seconds     | 97%           |
| CompetitorIntel    | 60-120 seconds    | 92%           |
| ContentGapAnalyzer | 20-40 seconds     | 95%           |

## Related Resources

- [Platform Overview](/ai/index.md)
- [Competitors](/ai/competitors.md)
- [Use Cases](/ai/use-cases.md)