Project Aeo Monitoring Tools

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by vasilyu1983 · vlatest · Repository

Automates AEO project monitoring via custom dashboards, alerts, and reports, identifying bottlenecks and optimizing performance.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add project-aeo-monitoring-tools npx -- -y @trustedskills/project-aeo-monitoring-tools
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "project-aeo-monitoring-tools": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/project-aeo-monitoring-tools"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill enables engineers to build and evaluate custom infrastructure for monitoring AI search engine visibility and competitive citation analysis, often referred to as AEO (AI Engine Optimization). It assists in designing data pipelines, understanding API versus scraping trade-offs, estimating costs, and making informed decisions about whether to build custom AEO monitoring tools or leverage existing commercial solutions. This skill is not intended for content optimization itself (use marketing-ai-search-optimization instead) or traditional SEO tasks like crawlability and indexation (use marketing-seo-complete instead).

When to use it

This skill is helpful in the following scenarios:

  • Building custom AEO monitoring infrastructure, including API pipelines and citation databases.
  • Evaluating whether a commercial solution adequately meets your needs before committing to building something custom.
  • Understanding the trade-offs between using APIs versus scraping data from AI search platforms.
  • Designing data pipelines specifically for analyzing citations across different AI engines.
  • Estimating the costs associated with monitoring multiple AI platforms.

Key capabilities

  • Provides a framework for deciding whether to build or buy AEO monitoring tools.
  • Offers guidance on evaluating commercial AEO monitoring solutions, including options like Profound, Goodie AI, Otterly.AI, and others.
  • Highlights factors influencing the build vs. buy decision (budget, query volume, platform coverage, integration needs, engineering capacity, customization requirements).
  • Suggests search queries to verify pricing, rate limits, and comparisons of AEO monitoring tools before committing to a solution.

Example prompts

Here are some example prompts you could give an AI agent with this skill:

  • "What are the pros and cons of building my own AEO monitoring tool versus using Profound?"
  • "Estimate the cost of monitoring ChatGPT, Gemini, Perplexity, and Claude using APIs."
  • "Compare API rate limits for tracking citations on Bing AI vs. Google's AI Overviews."

Tips & gotchas

  • Rapid Evolution: AEO tools and pricing change frequently. Always verify current status with web searches before committing to a specific tool or API (e.g., "[tool name] pricing [current year]").
  • Scope Limitations: This skill is focused on monitoring AEO, not optimizing content for citations. Use marketing-ai-search-optimization for that purpose.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
vasilyu1983
Installs
35

🌐 Community

Passed automated security scans.