Echo vs Gego
Echo and Gego are both open-source AI visibility tools you can self-host and audit. Echo'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.
The short version
Gego is GPL-3.0, so any modified version you distribute has to be released under the GPL too. Echo is MIT-licensed, so you can run, modify, and embed it with no strings attached.
Gego appears to be a very early-stage product with limited adoption.
Echo
Open-source AEO platform. Self-host for free, forever. Track AI visibility across ChatGPT, Claude, and Google AI Overviews with full transparency.
Gego
GPL-3.0 self-hosted GEO tracker with CLI and dashboard
About Gego
Gego schedules prompts across generative engines on a cron and captures citations, brand mentions, and extracted keywords. It self-hosts via Docker and queries OpenAI, Anthropic, Google, Perplexity, Ollama, and custom providers, exposing a dashboard, a CLI, and a REST API. A managed cloud version is on an early-access waitlist.
Popularity grade: F
- GPL-3.0, self-hosted from Docker Hub
- Runs against local models via Ollama and custom providers
- Dashboard, CLI, and REST API
Feature comparison
| Feature | Echo | Gego |
|---|---|---|
| Core Tracking | ||
| Multi-LLM Tracking | Yes | Yes |
| AI Visibility Score | Yes | Yes |
| Citation Analytics | Yes | Yes |
| Competitor Benchmarking | Yes | Yes |
| Brand Mention Tracking | Yes | Yes |
| AI Engines | ||
| ChatGPT | Yes | Yes |
| Google AI Overviews | Yes | No |
| Google AI Mode | Yes | No |
| Gemini | Yes | Yes |
| Perplexity | Yes | Yes |
| Microsoft Copilot | Yes | No |
| Claude | Yes | Yes |
| Grok | Yes | No |
| DeepSeek | Yes | No |
| Meta AI | Yes | No |
| Any Model | Yes | Yes |
| Real UI Answers | Yes | No |
| Bring Your Own Keys | Yes | Yes |
| Platform | ||
| White-Label / Agency | Yes | No |
| Open Source | Yes | Yes |
| Content Generation | No | No |
| Advanced Analytics | ||
| Prompt Volume Estimates | No | No |
| Sentiment Analysis | Yes | No |
| Query Fan-Out | Yes | No |
| AI Crawler Analytics | No | No |
| Geographic Tracking | No | No |
| Social Media Tracking | No | No |
| Shopping Tracking | No | No |
| Multi-Language | No | No |
| Actionable Insights | ||
| Action Recommendations | Yes | No |
| Content Gap Analysis | Yes | No |
| AI Site Audits | No | No |
| AI Keyword Research | Yes | Yes |
| Reporting & Integration | ||
| Email Alerts | No | No |
| API Access | Yes | Yes |
| TypeScript SDK | Yes | No |
| Python SDK | Yes | No |
| MCP Access | Yes | No |
| BI Connectors | No | No |
Key differences
Only in Echo
- Google AI Overviews
- Google AI Mode
- Microsoft Copilot
- Grok
- DeepSeek
- Meta AI
- Real UI Answers
- White-Label / Agency
- Sentiment Analysis
- Query Fan-Out
- Action Recommendations
- Content Gap Analysis
- TypeScript SDK
- Python SDK
- MCP Access
Both offer
- Multi-LLM Tracking
- AI Visibility Score
- Citation Analytics
- Competitor Benchmarking
- Brand Mention Tracking
- ChatGPT
- Gemini
- Perplexity
- Claude
- Any Model
- Bring Your Own Keys
- Open Source
- AI Keyword Research
- API Access
Why choose Echo over Gego?
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 Echo on your own infrastructure. The core platform is free and always will be, and Echo Cloud is there if you would rather not run it yourself.
Your data, in your stack
Pull every metric, sentiment included, into your own code with the REST API and TypeScript and Python SDKs, or ask Claude Code and Cursor about it over MCP. Export, fork, or migrate at any time.
Built to last
Bootstrapped and sustainable. No investors pushing towards dark patterns. We'll outlast the companies taking too much VC money.
Frequently Asked Questions
- What is the difference between Echo and Gego?
- Both Echo and Gego are open source, so you can self-host either one and inspect the code. Echo 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 Echo a free, open-source alternative to Gego?
- Yes. Echo is a free, open-source alternative to Gego. 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 open source?
- Yes, Gego is open source. Echo 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.
- How do Echo and Gego compare on sentiment analysis, API access, and MCP?
- Echo includes all three: a 0 to 100 sentiment score for every AI answer that mentions you, a REST API with TypeScript and Python SDKs, and an MCP server so assistants like Claude Code and Cursor can query your data. Gego offers API access, but we have not found it offering sentiment analysis or an MCP server.
- Can I self-host Echo instead of Gego?
- Yes. Echo 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 Echo in minutes and start monitoring how ChatGPT, Claude, and Google AI Overviews talk about your brand.