An advanced toolkit for Openclaw Skills to audit, map, and optimize brand visibility across AI answer engines like Perplexity and ChatGPT.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aeo-system
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install aeo-system using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AEO (Answer Engine Optimization) System?
The AEO System is a comprehensive framework designed to optimize brand presence within AI-powered answer engines. Much like traditional SEO, this Openclaw Skills extension enables agents to execute a specialized 7-layer optimization strategy. It focuses on ensuring that when users ask purchase-intent questions to platforms like Claude, Gemini, or Perplexity, your brand is the one being recommended and cited.
By integrating this skill, developers and marketers can automate the complex process of monitoring AI recommendations and maintaining machine-readable brand data. The system transforms an AI agent into a sophisticated consultant capable of running competitive gap analyses and building high-authority infrastructure like Answer Hubs and brand-facts.json files to dominate the future of AI-driven search.
AEO (Answer Engine Optimization) System Use Cases
- Auditing a website's readiness for AI-driven search recommendations and citation networks.
- Building a comprehensive Answer Intent Map to see which competitors AI models prefer in specific categories.
- Tracking weekly fluctuations in AI recommendation positions for specific product queries.
- Automating the creation of machine-readable brand data and structured schema markup.
- Identifying high-impact citation sources used by Perplexity and other LLMs for outreach prioritization.
How AEO (Answer Engine Optimization) System Works
- The agent analyzes the target brand's URL to score its existing infrastructure against the 7-layer framework defined in Openclaw Skills.
- Using the Perplexity or OpenAI APIs, the skill generates and executes category-specific purchase-intent queries to map the competitive landscape.
- Results are parsed to identify cited sources, brand mentions, and specific verbatim quotes from the AI responses.
- Based on the extracted data, the system generates actionable reports and technical templates like JSON-LD or brand-facts.json to fill identified infrastructure gaps.
- A weekly maintenance protocol is triggered to detect changes in AI model behavior and update brand assets accordingly.
AEO (Answer Engine Optimization) System Setup
The AEO System requires Node.js v18+ and at least a Perplexity API key for full automation within Openclaw Skills. Define the following environment variables in your workspace:
export PERPLEXITY_API_KEY="your_key_here"
# Optional keys for enhanced functionality
export OPENAI_API_KEY="your_key_here"
export BRAVE_API_KEY="your_key_here"
Create an aeo-config.json file in your working directory to define your brand name, URL, and target category to initialize the automated workflows.
AEO (Answer Engine Optimization) System Data Schema & Taxonomy
This skill generates a variety of structured reports and data maps to track AEO performance. Data is organized into human-readable Markdown and machine-readable JSON formats within the Openclaw Skills environment:
| File Type | Description | Format |
|---|---|---|
| Audit Report | Infrastructure score and gap analysis across 7 layers | Markdown |
| Intent Map | Raw AI query results and brand recommendation rankings | JSON |
| Weekly Report | Comparative analysis of position changes and new citations | Markdown |
| Brand-Facts | Machine-readable brand metadata for .well-known/ directories | JSON |
AEO (Answer Engine Optimization) System Advanced Features
- Automated competitive intelligence via the Answer Intent Map JS script for bulk query processing.
- Deep-web infrastructure and citation verification leveraging the Brave Search API.
- Multi-platform tracking capabilities across Perplexity API and browser-based agents for Claude and Gemini.
- Template-based generation for .well-known/brand-facts.json files and Answer Hub guides.
- Scheduled maintenance protocols designed to ensure brand facts remain fresh for AI training crawlers.
SKILL.md
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