Elmo vs Gego Analytics
Elmo and Gego Analytics are both open-source AI visibility tools you can self-host and audit. Elmo's focus is transparent, independently verifiable tracking across ChatGPT, Claude, Perplexity, and Google AI Overviews — with white-label support for agencies and a documented methodology behind every number.
Limited market presence
Gego Analytics appears to be a very early-stage product with limited adoption. Information on this page may be incomplete, and the tool's availability or feature set could change.
Elmo
Open-source AEO platform. Self-host for free, forever. Track AI visibility across ChatGPT, Claude, and Google AI Overviews with full transparency.
Gego Analytics
Open-source AEO analytics tool
About Gego Analytics
Gego Analytics is an open-source AEO analytics tool hosted on GitHub. It provides basic AI visibility tracking capabilities for developers who want to self-host their own AEO monitoring without proprietary dependencies.
Popularity grade: F
- Open-source on GitHub
- Self-hostable AEO analytics
Feature comparison
| Feature | Elmo | Gego Analytics |
|---|---|---|
| Core Tracking | ||
| Multi-LLM Tracking | ||
| AI Visibility Score | ||
| Citation Analytics | ||
| Competitor Benchmarking | ||
| Brand Mention Tracking | ||
| Platform | ||
| White-Label / Agency | ||
| Open Source | ||
| Content Generation | ||
| Advanced Analytics | ||
| Prompt Volume Estimates | ||
| Sentiment Analysis | ||
| AI Crawler Analytics | ||
| Geographic Tracking | ||
| Social Media Tracking | ||
| Shopping Tracking | ||
| Multi-Language | ||
| Actionable Insights | ||
| Action Recommendations | ||
| Content Gap Analysis | ||
| AI Site Audits | ||
| AI Keyword Research | ||
| Reporting & Integration | ||
| Email Alerts | ||
| Data Export / API | ||
| BI Connectors | ||
Key differences
Only in Elmo
- Citation Analytics
- Competitor Benchmarking
- White-Label / Agency
Both offer
- Multi-LLM Tracking
- AI Visibility Score
- Brand Mention Tracking
- Open Source
- Data Export / API
Why choose Elmo over Gego Analytics?
Open source and transparent
Every line of code is open. You can verify exactly how your visibility data is collected, calculated, and presented. No black boxes.
Self-host for free, forever
Run Elmo on your own infrastructure. The core platform is free and always will be, even when we release a cloud version of Elmo.
No vendor lock-in
Export everything, fork the code, or migrate at any time. You own all of your data and have the right to use it wherever you want.
Built to last
Bootstrapped and sustainable. No investors pushing towards dark patterns. We'll outlast the companies taking too much VC money.
/ FAQ
Frequently Asked Questions
- What is the difference between Elmo and Gego Analytics?
- Both Elmo and Gego Analytics are open source, so you can self-host either one and inspect the code. Elmo focuses specifically on transparent, independently verifiable AI visibility tracking across every major answer engine, with white-label support for agencies and a fully documented methodology behind each number.
- Is Elmo a free, open-source alternative to Gego Analytics?
- Yes. Elmo is a free, open-source alternative to Gego Analytics. You can self-host the full platform at no cost, read every line of code, and track your AI visibility across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews without per-seat or per-prompt fees.
- Is Gego Analytics open source?
- Yes, Gego Analytics is open source. Elmo is open source as well and is built specifically for self-hosted, independently verifiable AI visibility tracking, so you can audit exactly how each metric is calculated.
- Can I self-host Elmo instead of Gego Analytics?
- Yes. Elmo is designed to be self-hosted — deploy it on your own infrastructure in minutes with the CLI. You keep full ownership of your data and prompts, with no per-seat pricing and no third-party dashboard holding your visibility history.
Ready to track your AI visibility?
Deploy Elmo in minutes and start monitoring how ChatGPT, Claude, and Google AI Overviews talk about your brand.