[!WARNING] Deprecated and no longer maintained. GEO Analyzer's AI-search content analysis has been consolidated into SEO Audit Console (npm i @houtini/seo-audit-console) — which scores AI-Overview citation, passage relevance, agent readiness and content extractability alongside a full technical SEO audit, all in one MCP. Please migrate there.

GEO Analyzer

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

Quick Navigation

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:

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:

Terminal

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

Verify with:

Terminal

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

Code

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

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

Code

Analyse https://example.com/article

Analyse Text Directly

Paste content for analysis (minimum 500 characters):

Code

Analyse this content for "sim racing wheels":

[Your content here]

Summary Mode

Get condensed output without detailed recommendations:

Code

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

Recommendations

Prioritised suggestions with:

Specific locations in content
Before/after examples
Rationale based on research

Tools

analyze_url

Fetches and analyses published web pages.

Parameter	Required	Description
`url`	Yes	URL to analyse
`query`	No	Topic context for relevance scoring
`output_format`	No	`detailed` (default) or `summary`

analyze_text

Analyses pasted content directly.

Parameter	Required	Description
`content`	Yes	Text to analyse (min 500 chars)
`query`	No	Topic context for relevance scoring
`output_format`	No	`detailed` (default) or `summary`

Troubleshooting

"ANTHROPIC_API_KEY is required" Add your API key to the env section in config.

"Cannot find module" after config change Restart Claude Desktop completely.

"Content too short" Minimum 500 characters required for meaningful analysis.

Paywalled content returns errors The analyser can only access publicly available pages.

Performance

URL analysis: ~8-10 seconds
Text analysis: ~5-7 seconds
Cost: ~$0.14 per analysis (Sonnet 4.5)

Migration from v1.x

v2.0 removed external dependencies. Update your config:

Old (v1.x):

config.json

{
  "env": {
    "GEO_WORKER_URL": "https://...",
    "JINA_API_KEY": "jina_..."
  }
}

New (v2.x):

config.json

{
  "env": {
    "ANTHROPIC_API_KEY": "sk-ant-..."
  }
}

Development

bash

git clone https://github.com/houtini-ai/geo-analyzer.git
cd geo-analyzer
npm install
npm run build

Research Foundation

The analysis methodology draws from peer-reviewed research and empirical studies:

MIT GEO Paper (2024)

Aggarwal et al., "GEO: Generative Engine Optimization" - ACM SIGKDD

Key findings applied:

Claim density target of 4+ per 100 words
Optimal sentence length of 15-20 words
40% improvement in AI citation rates with extractability focus

arxiv.org/abs/2311.09735

Dejan AI Grounding Research (2025)

Empirical analysis of 7,060 queries and 2,275 pages

Key findings applied:

~2,000 word total grounding budget per query
Rank #1 source gets 531 words (28% of budget)
Rank #5 source gets 266 words (13% of budget)
Average extraction chunk: 15.5 words
Pages <1K words: 61% coverage
Pages 3K+ words: 13% coverage

dejan.ai/blog/how-big-are-googles-grounding-chunks
dejan.ai/blog/googles-ranking-signals

MIT License - Houtini.ai