Echo vs Quno
Echo is an open-source, self-hostable alternative to Quno, an AI visibility tracking tool. Both measure how AI answer engines describe your brand, but Echo ships every line of code, runs on your own infrastructure, and is free to self-host — so your data stays yours and each metric is independently verifiable.
The short version
Quno doesn't list Google AI Mode, Google AI Overviews, or Gemini among its engines and has no API or MCP server. Echo has all of that, and it's free to self-host.
Echo
Open-source AEO platform. Self-host for free, forever. Track AI visibility across ChatGPT, Claude, and Google AI Overviews with full transparency.
Quno
Brand intelligence engine tracking ten-plus models
About Quno
Quno tracks how frequently a brand appears across ten or more AI models, analyzes what those responses actually say, and lets users manage custom prompt sets to control exactly what is measured over time. Reporting covers a brand visibility score, competitive benchmarking on the prompts that matter, and qualitative analysis of how the brand is described.
Popularity grade: D
- Tracks more than ten models
- Free entry tier with custom prompt management
- Qualitative response analysis alongside the frequency score
Feature comparison
| Feature | Echo | Quno |
|---|---|---|
| Core Tracking | ||
| Multi-LLM Tracking | Yes | Yes |
| AI Visibility Score | Yes | Yes |
| Citation Analytics | Yes | No |
| 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 | No |
| Perplexity | Yes | Yes |
| Microsoft Copilot | Yes | No |
| Claude | Yes | No |
| Grok | Yes | No |
| DeepSeek | Yes | No |
| Meta AI | Yes | No |
| Any Model | Yes | No |
| Real UI Answers | Yes | No |
| Bring Your Own Keys | Yes | No |
| Platform | ||
| White-Label / Agency | Yes | No |
| Open Source | Yes | No |
| Content Generation | No | No |
| Advanced Analytics | ||
| Prompt Volume Estimates | No | No |
| Sentiment Analysis | Yes | Yes |
| 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 | Yes |
| Content Gap Analysis | Yes | No |
| AI Site Audits | No | No |
| AI Keyword Research | Yes | No |
| Reporting & Integration | ||
| Email Alerts | No | No |
| API Access | Yes | No |
| TypeScript SDK | Yes | No |
| Python SDK | Yes | No |
| MCP Access | Yes | No |
| BI Connectors | No | No |
Key differences
Only in Echo
- Citation Analytics
- Google AI Overviews
- Google AI Mode
- Gemini
- Microsoft Copilot
- Claude
- Grok
- DeepSeek
- Meta AI
- Any Model
- Real UI Answers
- Bring Your Own Keys
- White-Label / Agency
- Open Source
- Query Fan-Out
- Content Gap Analysis
- AI Keyword Research
- API Access
- TypeScript SDK
- Python SDK
- MCP Access
Both offer
- Multi-LLM Tracking
- AI Visibility Score
- Competitor Benchmarking
- Brand Mention Tracking
- ChatGPT
- Perplexity
- Sentiment Analysis
- Action Recommendations
Why choose Echo over Quno?
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 Quno?
- Echo is an open-source, self-hostable AI visibility platform, while Quno is a closed-source AI visibility tracking tool. Both track how AI answer engines describe your brand, but Echo gives you the full source code and runs on your own infrastructure, so you can verify every metric and keep your data in-house.
- Is Echo a free, open-source alternative to Quno?
- Yes. Echo is a free, open-source alternative to Quno. 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 Quno open source?
- No, Quno is a closed-source, hosted product, so you cannot inspect how its metrics are calculated. Echo is fully open source — you can audit the code, self-host it on your own infrastructure, and avoid vendor lock-in.
- How do Echo and Quno 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. Quno offers sentiment analysis, but we have not found it offering API access or an MCP server.
- Can I self-host Echo instead of Quno?
- 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.