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jianruntech/geo-score

Can AI engines cite your site, and do they? Free 0–100 readiness score on an open GEO rubric, plus citation tracking via the OpenAI, Perplexity, Gemini and Claude APIs with your own keys. Zero dependencies, MCP server.

Python ◇ aeo MIT
★615STARS
⑂12FORKS
!0ISSUES
🏆#3,381GLOBAL RANK
🔥1DAYS TRENDING
🚀
Maintainer Growth Kit for geo-score

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Star History

Continuous Observations
Interactive star growth chart for jianruntech/geo-score
CSV

Momentum

+15

STARS · LAST 30 DAYS

1

PER DAY

#415

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+15+90
Per day111
Forks gained+1+3+10

geo-score gained 15 stars in the last 30 days, about 1 a day, and now has 615. It is about 1 year old and has averaged roughly 615 stars a year. It ranks #415 among Python repositories and #3,381 across all languages on GitHubRepo.

Trending Record

geo-score has maintained a continuous presence across global trending indexes, peaking at #3334. Below is the 30-day activity profile:

💡 Overview

geo-score is an open-source project written in Python: Can AI engines cite your site, and do they? Free 0–100 readiness score on an open GEO rubric, plus citation tracking via the OpenAI, Perplexity, Gemini and Claude APIs with your own keys. Zero dependencies, MCP server.

Engineered for speed, consistency, and developer ease, it solves common hurdles in aeo, ai-search, ai-visibility. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install geo-score

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

geo-score coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with geo-score.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install geo-score using your package manager: `pip install geo-score`

2

Initialize your project workspace or configuration file for geo-score.

3

Import geo-score into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `geo-score --help` to verify successful setup.

👍 Strengths

Active community backing with 578 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

jianruntech/geo-score is currently ranked #3,381 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,375 arv/ExplorerCanvas JavaScript ★ 617 Compare ↗
#3,375 seed4j/seed4j Java ★ 617 Compare ↗
#3,375 Radiokot/photoprism-android-client Kotlin ★ 617 Compare ↗
#3,379 NeoGeographyToolkit/StereoPipeline C++ ★ 616 Compare ↗
#3,379 zapier/kubechecks Go ★ 616 Compare ↗
#3,381 jianruntech/geo-score This Project Python ★ 615
#3,381 ZcashFoundation/zebra Rust ★ 615 Compare ↗
#3,383 microsoft/ApplicationInsights-dotnet C# ★ 614 Compare ↗
#3,383 michael-denyer/pstack-claude TypeScript ★ 614 Compare ↗
#3,383 codejunkie99/fable-orchestrator Shell ★ 614 Compare ↗
#3,386 dfinity/examples Rust ★ 613 Compare ↗

Frequently Asked Questions

What does geo-score do? +

Can AI engines cite your site, and do they? Free 0–100 readiness score on an open GEO rubric, plus citation tracking via the OpenAI, Perplexity, Gemini and Claude APIs with your own keys. Zero dependencies, MCP server.

What language is geo-score written in? +

The primary language is Python. Topics include: aeo, ai-search, ai-visibility, answer-engine-optimization, chatgpt.

Is geo-score actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 0 open issues being tracked.

How many stars does geo-score have? +

geo-score has 615 stars and 12 forks on GitHub.

How does geo-score rank among GitHub repositories? +

With 615 stars, jianruntech/geo-score is ranked #3,381 globally across all repositories tracked on GitHubRepo and #415 among Python projects.

What license is geo-score distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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