aeo-analytics-free

Track brand mentions and citations in Gemini AI-generated responses.

9|2|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/psyduckler/aeo-skills --skill aeo-analytics-free
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aeo-analytics-free
Source: https://github.com/psyduckler/aeo-skills/tree/main/aeo-analytics-free
Command: npx skills add https://github.com/psyduckler/aeo-skills --skill aeo-analytics-free

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Track the presence of your brand in AI-generated answers, measuring mentions and citations to understand visibility trends across models and prompts.

Core Features & Use Cases

  • Grounding-based visibility tracking with Gemini API (free tier) and fallback web search to capture mentions, citations, sentiment, and competitors.
  • Time-series analytics: track mention rates, citation rates, and changes over scans to identify opportunities and optimize content.
  • End-to-end workflow integration: coordinates with aeo-prompt-research-free and aeo-content-free to close the loop and measure results.

Quick Start

Run a first visibility scan across your target prompts and review the per-prompt metrics results.

Frequently Asked Questions about aeo-analytics-free

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track my brand mentions in AI-generated responses?

Brand visibility tracking works by executing multiple scans across Gemini grounding-enabled prompts with a fallback web search to capture mentions and citations of target brands. It stores per-prompt metrics like mention rates and citation rates under a structured aeo-analytics data model.

Can I measure brand visibility trends over time with AI search tracking?

AI search tracking measures brand visibility trends over time by running multiple scans that record mention rates and citation rates. This time-series analytics approach reveals changes in visibility, helping you identify opportunities, optimize content, and monitor competitor movement across prompts.

How do I start tracking AI citations for my target prompts?

To start tracking AI citations for target prompts, run a first visibility scan across your chosen prompts and review the per-prompt metrics results. The scan utilizes Gemini grounding with a fallback web search to identify mentions, citations, sentiment, and competitor presence.

Does Gemini API free tier support prompt tracking for brand mentions?

Gemini API free tier supports prompt tracking for brand mentions through grounding-based visibility tracking. It captures mentions, citations, sentiment, and competitors from AI-generated answers, storing results in a structured format to expose per-prompt metrics for trend analysis.

What is the best way to monitor competitor movement in AI search results?

The best way to monitor competitor movement in AI search results is by running multiple visibility scans using grounding-enabled prompts with fallback web search. This approach captures competitor mentions and citations alongside your brand, exposing per-prompt metrics to reveal competitor trends over time.

Why does my brand visibility scan require a fallback web search?

Your brand visibility scan requires a fallback web search to capture mentions and citations comprehensively when Gemini grounding-enabled prompts do not return sufficient AI-generated responses. This ensures accurate tracking of competitor movement and sentiment across multiple scans.