GEO Analyzer

Content analysis for AI search visibility. Measures what actually matters for getting cited by ChatGPT, Claude, Perplexity, and Google AI Overviews.

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What it does | Installation | Usage examples | Output | Tools | Troubleshooting | Research foundation

What It Does

GEO Analyzer examines content for the signals AI systems use when selecting sources to cite:

• Claim Density - Extractable facts per 100 words
• Information Density - Word count vs predicted AI coverage
• Answer Frontloading - How quickly key information appears
• Semantic Triples - Structured (subject, predicate, object) relationships
• Entity Recognition - Named entities AI can reference
• Sentence Structure - Optimal length for AI parsing

The analysis runs locally using Claude Sonnet 4.5 for semantic extraction. No external services, no data leaving your machine.

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "geo-analyzer": {
      "command": "npx",
      "args": ["-y", "@houtini/geo-analyzer@latest"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-..."
      }
    }
  }
}

Config locations:

• Windows: %APPDATA%\Claude\claude_desktop_config.json
• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Restart Claude Desktop after saving.

Claude Code (CLI)

Claude Code uses a different registration mechanism -- it doesn't read claude_desktop_config.json. Use claude mcp add instead:

claude mcp add -e ANTHROPIC_API_KEY=sk-ant-... -s user geo-analyzer -- npx -y @houtini/geo-analyzer@latest

Verify with:

claude mcp get geo-analyzer

You should see Status: Connected.

Requirements

• Node.js 20+
• Anthropic API key (console.anthropic.com)

Usage Examples

Analyse a Published URL

Analyse https://example.com/article for "topic keywords"

The topic context helps score relevance but isn't required:

Analyse https://example.com/article

Analyse Text Directly

Paste content for analysis (minimum 500 characters):

Analyse this content for "sim racing wheels":

[Your content here]

Summary Mode

Get condensed output without detailed recommendations:

Analyse https://example.com/article with output_format=summary

Output

Scores (0-10)

| Score | Measures | |-------|----------| | Overall | Weighted average of all factors | | Extractability | How easily AI can extract facts | | Readability | Structure quality for AI parsing | | Citability | How quotable and attributable |

Key Metrics

Information Density:

• Word count with coverage prediction
• Optimal range: 800-1,500 words
• Pages under 1K words: ~61% AI coverage
• Pages over 3K words: ~13% AI coverage

Answer Frontloading:

• Claims and entities in first 100/300 words
• First claim position
• Score indicating answer immediacy

Claim Density:

• Target: 4+ claims per 100 words
• Extractable facts, statistics, measurements

Sentence Length:

• Target: 15-20 words average
• Matches Google's ~15.5 word chunk extraction

Recommendat

... View full README on GitHub