mverab/eGEOagents

Generative Engine Optimization skills for AI agents. Optimize content for ChatGPT, Perplexity, Claude, and Gemini.

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/ 100
Emerging

Based on the README, here's a technical summary that goes beyond the one-liner: --- Implements a **multi-agent architecture** with four specialized AI agents (Analyzer, Ranker, Rewriter, Indexer) orchestrated through Claude Code to decompose the GEO optimization pipeline. Operates as a Claude Code skill with configurable commands (`/geo`, `/geo:audit`, `/geo:batch`) that generate structured outputs including markdown-formatted content, JSON-LD schema markup, and audit reports with scored GEO signals. Grounded in peer-reviewed research (arXiv:2511.20867) identifying 10 universal ranking features (competitive framing, user intent matching, social proof, authority signaling) that consistently improve AI search engine rankings across ChatGPT, Perplexity, Claude, and Gemini.

No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 9 / 25
Community 18 / 25

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Stars

64

Forks

15

Language

Python

License

MIT

Last pushed

Mar 04, 2026

Commits (30d)

0

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