RankSpotAI/awesome-geo-tools
A curated list of GEO and AI visibility tools, compared on which AI engines they track, how often they refresh, what they cost, and whether you can get your data out.
⚡ Executive Summary & Quick Facts
Authoritative Sourceawesome-geo-tools is awesome-geo-tools is an open-source project written in Python: A curated list of GEO and AI visibility tools, compared on which AI engines they track, how often they refresh, what they cost, and whether you can get your data out..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), RankSpotAI/awesome-geo-tools has accumulated 77 GitHub stars and 18 forks. It is written in Python, licensed under CC0-1.0, and ranks #27,378 globally. It is actively maintained with the latest commit recorded on Sep 6, 2026.”
| Repository | RankSpotAI/awesome-geo-tools ↗ |
|---|---|
| Primary Category | aeo |
| Language & Stack | Python |
| Software License | CC0-1.0 |
| Community Traction | ★ 77 stars · ⑂ 18 forks · #27,378 globally |
| Maintenance | ● Active (Last commit: Sep 6, 2026) · 18 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 78/100 · Grade BYes, awesome-geo-tools is actively maintained. Continuous telemetry recorded the last code commit on Sep 6, 2026 (67 days ago). Supported by 77 stars and 18 community forks, this repository holds a calculated health index of 78/100, reflecting periodic maintenance (67 days ago) and healthy issue cadence.
Star History
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Momentum
+0
STARS · LAST 30 DAYS
1
PER DAY
#3,882
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +0 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +11 | +10 |
awesome-geo-tools gained 0 stars in the last 30 days, about 1 a day, and now has 77. It is about 1 year old and has averaged roughly 77 stars a year. It ranks #3,882 among Python repositories and #27,378 across all languages on GitHubRepo.
Trending Record
45
DAYS ON TRENDING
#2495
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
awesome-geo-tools has maintained a continuous presence across global trending indexes, peaking at #2495. Below is the 30-day activity profile:
💡 Overview
awesome-geo-tools is an open-source project written in Python: A curated list of GEO and AI visibility tools, compared on which AI engines they track, how often they refresh, what they cost, and whether you can get your data out.
Engineered for speed, consistency, and developer ease, it solves common hurdles in aeo, ai-search, ai-seo. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install awesome-geo-tools
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
awesome-geo-tools 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 awesome-geo-tools.
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
Install awesome-geo-tools using your package manager: `pip install awesome-geo-tools`
Initialize your project workspace or configuration file for awesome-geo-tools.
Import awesome-geo-tools into your codebase or invoke it directly from your terminal.
Execute your test suite or run `awesome-geo-tools --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
RankSpotAI/awesome-geo-tools is currently ranked #27,378 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #27,332 | T3CHNOLOG1C/SacredFire | C++ | ★ 78 | Compare ↗ |
| #27,332 | longsurf-ai/endo | TypeScript | ★ 78 | Compare ↗ |
| #27,332 | marcolamaia/MarcFlow | TypeScript | ★ 78 | Compare ↗ |
| #27,332 | anshk1234/MEDUCID | TypeScript | ★ 78 | Compare ↗ |
| #27,332 | jamescastells/nxnative-gui | Swift | ★ 78 | Compare ↗ |
| #27,378 | RankSpotAI/awesome-geo-tools This Project | Python | ★ 77 | |
| #27,378 | defunkt/sake | Ruby | ★ 77 | Compare ↗ |
| #27,378 | timcharper/bundle-fu | Ruby | ★ 77 | Compare ↗ |
| #27,378 | basecamp/action_profiler | Ruby | ★ 77 | Compare ↗ |
| #27,378 | bloopletech/webstats | Ruby | ★ 77 | Compare ↗ |
| #27,378 | completelynovel/amazon-product-advertising-api | Ruby | ★ 77 | Compare ↗ |
Frequently Asked Questions
What does awesome-geo-tools do? +
A curated list of GEO and AI visibility tools, compared on which AI engines they track, how often they refresh, what they cost, and whether you can get your data out.
Is awesome-geo-tools actively maintained in 2026? +
Yes, awesome-geo-tools is actively maintained. The latest code push was recorded on Sep 6, 2026 (67 days ago). It holds a calculated Maintenance Health Score of 78/100 (B rating) with 77 stars and 18 open issues.
What language is awesome-geo-tools written in? +
The primary language is Python. Topics include: aeo, ai-search, ai-seo, ai-visibility, answer-engine-optimization.
How many stars does awesome-geo-tools have? +
awesome-geo-tools has 77 stars and 18 forks on GitHub.
How does awesome-geo-tools rank among GitHub repositories? +
With 77 stars, RankSpotAI/awesome-geo-tools is ranked #27,378 globally across all repositories tracked on GitHubRepo and #3,882 among Python projects.
What license is awesome-geo-tools distributed under? +
The repository reports a CC0-1.0 license. Always verify the repository LICENSE file for legal terms.