Echo vs Azoma
Echo is an open-source, self-hostable alternative to Azoma, an e-commerce 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
Azoma doesn't list Google AI Overviews, Claude, or Microsoft Copilot among its engines and has no 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.
Azoma
Agentic commerce optimization measured in revenue rather than mentions
About Azoma
Azoma targets enterprise retail and argues that generative engine optimization measures the wrong things: where GEO reports mentions, citations, and share of voice across LLM apps, Azoma reports revenue, conversion rate, and SKU-level discoverability across both LLM apps and retailer shopping agents — Amazon Rufus, Walmart Sparky, and Alexa for Shopping alongside ChatGPT, Gemini, Meta AI, and Claude. It supports the Agentic Merchant, Universal Commerce, and Agentic Commerce protocols, and sources tracked prompts from digital twin technology, public Q&A, and marketplace data.
Popularity grade: C
- Tracks retailer shopping agents — Rufus, Sparky, Alexa — not just LLM apps
- Reports SKU-level discoverability, conversion, and revenue instead of share of voice
- Supports the Agentic Merchant, Universal Commerce, and Agentic Commerce protocols
Feature comparison
| Feature | Echo | Azoma |
|---|---|---|
| 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 | Yes |
| Gemini | Yes | Yes |
| 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 | Yes |
| 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 | Yes |
| Multi-Language | No | No |
| Actionable Insights | ||
| Action Recommendations | Yes | Yes |
| Content Gap Analysis | Yes | Yes |
| AI Site Audits | No | Yes |
| 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
- Microsoft Copilot
- Claude
- Grok
- DeepSeek
- Meta AI
- Any Model
- Real UI Answers
- Bring Your Own Keys
- White-Label / Agency
- Open Source
- Query Fan-Out
- TypeScript SDK
- Python SDK
- MCP Access
Both offer
- Multi-LLM Tracking
- AI Visibility Score
- Citation Analytics
- Competitor Benchmarking
- Brand Mention Tracking
- ChatGPT
- Google AI Mode
- Gemini
- Perplexity
- Sentiment Analysis
- Action Recommendations
- Content Gap Analysis
- AI Keyword Research
- API Access
Only in Azoma
- Content Generation
- Shopping Tracking
- AI Site Audits
Why choose Echo over Azoma?
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 Azoma?
- Echo is an open-source, self-hostable AI visibility platform, while Azoma is a closed-source e-commerce 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 Azoma?
- Yes. Echo is a free, open-source alternative to Azoma. 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 Azoma open source?
- No, Azoma 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 Azoma 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. Azoma offers sentiment analysis and API access, but we have not found it offering an MCP server.
- Can I self-host Echo instead of Azoma?
- 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.