onvoyage-ai

onvoyage-ai / voyage-geo-agent

Public

Agentic Generative Engine Optimizaiton

350
19
100% credibility
Found Feb 17, 2026 at 45 stars 8x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source command-line tool that evaluates brand visibility in AI responses from models like ChatGPT, Claude, and Gemini, generating reports on metrics such as mention rate, sentiment, and competitive positioning.

How It Works

1
📖 Discover Voyage GEO

You hear about this free tool that checks how AI chatbots like ChatGPT recommend your brand, like SEO but for AI.

2
🛠️ Set it up quickly

Download and install it easily on your computer, no tech skills needed.

3
🔗 Connect AI services

Link a few AI accounts so the tool can ask questions to different chatbots.

4
🏷️ Enter your brand details

Type your brand name and website, and it learns about your business.

5
🚀 Launch the analysis

Hit go, and it automatically asks AI questions and measures your visibility.

📈 Get your reports

Open beautiful charts showing your scores, competitors, trends, and tips to improve.

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Star Growth

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AI-Generated Review

What is voyage-geo-agent?

Voyage GEO is a Python CLI tool for Generative Engine Optimization (GEO), scanning how AI models like ChatGPT, Claude, Gemini, and Perplexity reference your brand in responses. Feed it a brand name and website; it researches competitors and USPs, generates realistic user queries, runs them across models via OpenRouter or direct APIs, then analyzes mention rates, sentiment, mindshare, and rankings. Output interactive HTML reports, JSON/CSV exports, plus trends dashboards tracking visibility over time.

Why is it gaining traction?

Unlike basic SEO tools stuck on Google, it benchmarks against the agentic AI shift—agentic generative AI vs generative AI differences mean brands must optimize for LLM recommendations, not just links. Standouts: one-key multi-model access, leaderboard mode for category rivals, and skills integrating with agentic GitHub Copilot or Claude Code for automated runs. Developers dig the resume-from-failure, concurrency controls, and agentic RAG knowledge graph exports for deeper agentic AI security GitHub workflows.

Who should use this?

Growth marketers tracking agentic generative AI impacts on brand mindshare, SEO teams adapting to AI search (agentic generative AI for insurance or media content discovery at NFL scale), and product leads running leaderboards like "best CRM tools." Ideal for VCs benchmarking portfolio visibility or devs in agentic GitHub chat/coding agents needing real-time AI perception data.

Verdict

Solid beta for AI-era brand audits—installs clean, docs cover CLI flags and agent skills—but 39 stars and 1.0% credibility signal early days; test thoroughly before production. Worth a spin if you're in agentic generative UI or workforce innovation plays.

(198 words)

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