A self-hosted, multi-engine citation tracker and LLM search optimization tool for analyzing which URLs are cited by ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install automatelab-citation-intelligence
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 automatelab-citation-intelligence 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 Citation Intelligence?
Citation Intelligence is an advanced, self-hosted search engine optimization (GEO/AIO) tool designed to monitor and analyze how major AI engines—such as ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, and Bing—cite web content. Available within the library of Openclaw Skills, this tool operates with complete privacy, requiring no external accounts or centralized backend servers. It runs directly within your AI agent environments, allowing you to execute queries locally using your own API keys.
By leveraging this tool, developers and digital marketers can gain precise insights into search intelligence and AI engine citation behavior. Whether you are tracking your brand's authority, conducting competitor research, or optimizing content for Generative Engine Optimization (GEO), this addition to Openclaw Skills provides the raw data and analytical tools needed to understand which URLs are prioritized by LLMs and why.
Citation Intelligence Use Cases
- Evaluating AI Citation Footprint: Find out if, where, and how often your target domain is cited across multiple AI platforms simultaneously.
- Competitor Citation Benchmarking: Compare your domain's visibility directly against competitors to discover content and citation gaps.
- Content Quality & Provenance Analysis: Analyze why specific competitor URLs are cited instead of your own by extracting the exact snippets LLMs use as evidence.
- Tracking Citation Trends over Time: Monitor how your citation rates change, identifying query-level gains or losses across engines.
- Google AI Overview Optimization: Pre-check if your URLs meet the structural and behavioral signals required for Google AI Overviews and featured answer boxes.
How Citation Intelligence Works
- Agent Request Initiation: The user or AI coding agent invokes a tool from one of the core namespaces (e.g.,
citations.provenanceordomain.am_i_cited) through an agent integrated with Openclaw Skills. - Direct Engine Querying: The self-hosted server directly queries the respective AI model APIs (Anthropic, OpenAI, Perplexity, Google, Bing) using your locally configured API keys.
- Result Compilation & Parsing: The server retrieves citation responses, structures the URLs, and extracts snippet-level evidence or provenance markers.
- Consensus & Signal Matrix Generation: A structured data matrix is compiled, highlighting which engines cite which URLs, calculating freshness scores, and generating consensus metrics.
- Feedback Delivery: The agent receives structured data output to recommend SEO optimizations, content adjustments, or trend tracking reports directly inside the workspace.
Citation Intelligence Setup
To get started with Citation Intelligence, ensure you have Node 20+ installed. Configure your local environment by assigning the required API keys (e.g., Anthropic, OpenAI, Google, Perplexity) to your environment variables. Then, configure your preferred MCP host.
Claude Code Configuration
Add the following configuration to your .claude/mcp.json file:
{
"mcpServers": {
"citation-intelligence": {
"command": "npx",
"args": ["-y", "@automatelab/citation-intelligence"]
}
}
}
Claude Desktop Configuration
Update your claude_desktop_config.json file:
{
"mcpServers": {
"citation-intelligence": {
"command": "npx",
"args": ["-y", "@automatelab/citation-intelligence"]
}
}
}
Environment Variables
Ensure you export your API keys in your terminal or configuration files:
export PERPLEXITY_API_KEY="your-perplexity-key"
export OPENAI_API_KEY="your-openai-key"
export ANTHROPIC_API_KEY="your-anthropic-key"
export GEMINI_API_KEY="your-gemini-key"
Citation Intelligence Data Schema & Taxonomy
Citation Intelligence exposes 12 highly specialized tools partitioned into 6 distinct namespaces. The data schema organizes inputs and outputs programmatically as follows:
| Namespace | Tool Name | Description & Data Managed |
|---|---|---|
citations |
provenance |
Compiles a URL matrix containing cross-engine citation consensus for a specific query. |
citations |
check |
Checks citation URLs for a single specified engine (cost-efficient). |
citations |
evidence |
Extracts the exact snippet text used as evidence by the LLM for a citation. |
citations |
predict |
Determines citation likelihood based on public web signals without executing LLMs. |
citations |
trend |
Captures time-series metrics showing citation rate shifts and query deltas. |
citations |
freshness |
Analyzes page recency values for URLs cited by AI search engines. |
domain |
am_i_cited |
Queries multiple engines for a specific domain to return a consensus score. |
domain |
cited_for |
Scrapes local caches to find which queries the specified domain is cited for. |
signals |
ai_overview |
Tests URL eligibility metrics for Google AI Overviews. |
signals |
answer_box |
Analyzes featured snippet and Google answer box eligibility metrics. |
competitors |
compare |
Outputs comparative citation coverage data between two targeted domains. |
panel |
run |
Performs automated batch processing of queries and aggregates results. |
Citation Intelligence Advanced Features
- Cross-Engine Consensus Modeling: Aggregates citation metrics from diverse engines to evaluate universal authority ranking.
- Snippet Evidence Extraction: Pulls exact textual references to show the exact contextual trigger behind a citation.
- Zero-LLM Prediction Engine: Predicts citation rates purely based on public signals, offering lightning-fast, zero-cost analysis.
- Batch Run Panels: Automates large-scale citation audits by batching queries and tracking performance trends locally.
- Seamless Agent Integrations: Fully compatible with advanced developer environments like Claude Code, Cursor, and Zed, making it one of the most flexible Openclaw Skills for automated SEO-auditing workflows.
SKILL.md
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