
Elmo is an open-source AI visibility platform for AEO and GEO. It tracks how ChatGPT, Claude, Gemini and other models describe your brand, which sources they lean on and what to change. You can run it free on your own servers or pay for the hosted Elmo Cloud. For teams comparing open-source AEO software, it’s one of the projects worth testing.
Elmo comes from elmohq and is published on GitHub under the MIT license. It records whether AI answers mention and cite a brand, tracks competitors and turns the results into ranked opportunities.
The product has two forms. Self-hosted Elmo is the full product on your own infrastructure. Elmo Cloud is the managed version with paid tiers.
Yes. The code is MIT-licensed, so you can inspect it, change it and deploy it. Self-hosting has no license fee, and Elmo says it comes with unlimited prompts and every model.
Free doesn’t mean zero cost, though. You bring your own API keys for each AI provider, and scraping consumer apps needs a scraping provider. Those bills scale with your prompt count and run frequency.
Elmo Cloud starts with a ChatGPT-only tier and moves up to plans covering any four platforms, more brands and premium models. All cloud plans include unlimited seats plus API and MCP access. Elmo offers a live demo; its site doesn’t list a free trial.
Setup goes through the npm package @elmohq/cli. The stack is TypeScript with TanStack Start, PostgreSQL for storage and pg-boss as the job queue, all shipped with Docker Compose.
A background worker runs each prompt several times a day by default. Plan for a server, a database backup routine and someone who can update the containers.
Elmo’s list covers ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Google AI Mode. It adds Microsoft Copilot, DeepSeek, Mistral and Qwen, among others, and any model on OpenRouter.
Self-hosted Elmo can run every model you have keys for. Cloud tiers cap you at four platforms, and the entry tier covers ChatGPT only.
Elmo uses two methods. Scraping providers capture what consumer apps show: ChatGPT, Google AI Mode, AI Overviews, Gemini, Perplexity and Copilot. Direct API calls to OpenAI, Anthropic, Mistral and OpenRouter cover Claude and other models, with web search turned on.
The method matters. A consumer app answer can differ from an API answer to the same prompt. The app may search the web, use a different model or format results its own way. Know which one each number comes from.
| Report | What it shows |
|---|---|
| Visibility | How often answers mention your brand, with trends |
| Share of voice | Who AI recommends instead of you |
| Citations | The sources AI trusts in your category |
| Query fan-out | The searches AI runs behind each answer |
| Opportunities | What to do next, ranked by impact |
You can also open single responses to see which brands and sources appeared. The query fan-out view is useful for content planning, since it shows the sub-searches an engine ran before answering.
People often search the two together, and for a good reason. The open-source GetCito repository says in its README that it is a fork of Elmo, with both copyright notices kept under MIT.
| Elmo | GetCito (open source) | |
|---|---|---|
| Origin | Original project by elmohq | Fork of Elmo |
| License | MIT | MIT, Elmo copyright kept |
| Extras | Elmo Cloud, MCP and API on cloud plans | White-label mode with Auth0 SSO, REST API |
GetCito adds a white-label mode with Auth0 single sign-on and a REST API. Elmo’s repository has a much longer commit history. Check recent activity on both before you choose, since a fork can drift from upstream fixes. Our GetCito entry covers the hosted product.
An AI visibility score is only as good as its method. With open code you can see how a mention is detected, how share of voice is weighted and what counts as a citation. You also keep the raw answers if you switch tools.
Open source doesn’t make a metric correct. It makes it checkable. You still need a stable prompt set, repeat runs and someone who reads the answers.
Developers already rely on GitHub for this category. In our tracking, GitHub held 11.5% of third-party citations in AI answers. Our list of top GitHub repositories for AEO and GEO drew 7,007 citations in 30 days. Source: Ansvisor tracking data, September 15 to October 14, 2026.
Elmo suits developers, technical marketers and agencies that want control and can run their own stack. The MIT license also lets you fork it into an internal tool.
Either way, the core job is AI visibility tracking: the same prompts, run on a schedule, read over weeks.
The limits are mostly operational. Self-hosting means paying for API and scraping providers and maintaining the deployment. Elmo’s feature list centers on answers; it doesn’t list AI crawler or AI referral traffic reporting. Our roundup of open-source AEO and GEO tools compares it with other projects.
| Elmo | Ansvisor | |
|---|---|---|
| Model | Open source (MIT), self-hosted or Elmo Cloud | Open source, self-hosted or Ansvisor cloud |
| Getting started | Free self-host; paid cloud tiers, live demo | Self-host from GitHub; 14-day free cloud trial |
| Engines | Any model with keys or a scraping provider | ChatGPT, AI Overviews, AI Mode, Gemini, Copilot, Perplexity; Claude on Enterprise plans |
| Beyond answers | Query fan-out, opportunities | Mentions and citations separate, AI traffic analytics, Action Center |
Both give you the code and the data. Elmo is the lighter choice if you want to plug in many models yourself. Ansvisor’s repository fits teams that want visibility, AI traffic and a task list in one open-source product.
Ansvisor’s AI Traffic Analytics adds AI crawler visits and AI referral traffic next to prompt results. Start a 14-day free trial of the cloud version, or self-host it.
Elmo is an open-source AI visibility platform for AEO and GEO. It tracks how AI models mention and cite a brand, compares competitors, shows query fan-out and ranks opportunities. You can self-host it or use the paid Elmo Cloud.
Yes. Elmo is published on GitHub under the MIT license. Self-hosting has no license fee, but you pay for your own AI provider keys and for any scraping provider used to capture consumer apps.
Elmo covers ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Google AI Mode. It also lists Microsoft Copilot, DeepSeek, Mistral and Qwen, among others, plus OpenRouter models. Elmo Cloud plans cover up to four platforms.
The open-source GetCito repository describes itself as a fork of Elmo, also under the MIT license. It adds a white-label mode with Auth0 single sign-on. Compare recent commit activity, since a fork can drift from upstream fixes.
Open source AEO software tracks how AI answers mention and cite brands, and publishes its code under an open-source license. You can self-host it, inspect how metrics are calculated and keep the raw data. Elmo and Ansvisor are two examples, and both use the MIT license.
Track how your brand appears across AI platforms, understand what drives visibility, and turn insights into measurable actions.
Platform Features
Explore all features →Understand how AI platforms talk about your brand.
Discover and monitor the prompts shaping your AI visibility.
Track which sources AI platforms cite and where your brand appears.
Measure visits coming from ChatGPT, Gemini, Claude, and more.
Compare AI visibility and uncover competitive gaps and opportunities.
Turn AI Search signals into prioritized actions and executable tasks.
AI Visibility Trackers
Explore AI Visibility Platform →Track brand mentions, citations, prompts, and visibility across ChatGPT.
Monitor where and how your brand appears in Google AI Overviews.
Track your brand's visibility across Google AI Mode experiences.
Understand how your brand appears across Google Gemini responses.
Monitor your brand's presence across Microsoft Copilot answers.
Track brand mentions, citations, and visibility across Perplexity.
From AI Visibility insights to action.
Explore the complete Ansvisor platform for AI Search intelligence, optimization, and growth.
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✓ Add brand, domains and competitors
✓ Discover prompts and growth opportunities
✓ Track your AI visibility across major AI platforms
✓ Monitor citations, mentions, and competitors
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✓ Optimize authority, trust, and content quality
✓ Create content, automate analysis & action with AI agents
Continue exploring key AI visibility concepts.
Measure and improve how often your brand appears in AI-generated answers.
Learn more →Strategies for increasing visibility in answer engines and AI summaries.
Learn more →Optimizing content for AI-powered discovery experiences.
Learn more →Understand how OpenAI retrieves and synthesizes information.
Learn more →AI-generated summaries that appear directly in Google Search.
Learn more →Explore how Perplexity cites and presents sources.
Learn more →References and sources used by AI systems to support answers.
Learn more →Measure the quality and influence of cited sources.
Learn more →How easily AI systems can discover and reuse your content.
Learn more →New terms are added regularly.
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Co-founder at Ansvisor
Cihan Geyik is the co-founder of Ansvisor, an open-source AI Visibility platform for AI Search. With more than 15 years of experience in digital marketing and growth, he writes about AI visibility, AI search, AEO, GEO, citations, and answer engines. He focuses on helping brands understand and improve their presence across ChatGPT, Gemini, Perplexity, Google AI Overviews, and other AI-powered discovery platforms.
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