Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Tracks whether AI assistants mention and cite a brand in response to target prompts. Runs visibility scans using Gemini API with grounding, records results over time, and generates reports showing mention rates, citation rates, trends, and competitor share of voice.
Gemini grounding returns the actual web sources the model cited, giving direct evidence of which URLs drive AI mentions rather than inferring from search rankings alone.
When to use it
- Checking if Gemini or ChatGPT names your brand when users ask about your product category
- Tracking how mention rates change after publishing new AEO-optimized content
- Comparing your brand's AI visibility against named competitors across shared prompts
- Identifying prompts where competitors rank in AI answers but your brand is absent
- Measuring citation rate before and after a content refresh campaign
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: run a scan for tabiji.ai tracking prompts ['best AI travel planner', 'AI trip planning tools']
- 1Load or initialize the data file at aeo-analytics/tabiji.ai.json
- 2Send each prompt to Gemini API with googleSearch grounding enabled
- 3Check response text for brand name mentions and grounding chunk URLs for domain citations
- 4Classify sentiment of each mention and extract competing brands from the response
- 5Append scan results to the data file and output a summary with current mention and citation rates
Scan complete: 2 prompts checked. Mention rate: 1/2 (50%). Citation rate: 0/2 (0%). No change vs last scan. 'best AI travel planner' — not mentioned; competitors cited: wanderlog.com, roadtrippers.com.
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.