Elmo

Track your brand's visibility across any AI model with an open source platform you can self-host for total data privacy.

Elmo application interface and features

About Elmo

Elmo is an open source, self-hosted platform designed to track, monitor, and optimize your brand's visibility across any AI model. In the rapidly evolving landscape of AI-powered search and conversational AI, understanding how large language models perceive and mention your brand is critical. Elmo provides a comprehensive command center for AI visibility, allowing you to see exactly what ChatGPT, Claude, Gemini, Grok, Mistral, Perplexity, Copilot, DeepSeek, Google AI Mode, and Google AI Overviews say about your brand. The platform monitors mentions, analyzes citations, and benchmarks your brand against competitors across every prompt and model. With full source code access and the ability to run on your own infrastructure, Elmo ensures your data stays yours, eliminating vendor lock-in. It is built for marketing teams, SEO professionals, brand managers, and agencies who need to understand and grow their brand's presence in AI-generated responses. Whether you are a startup or an enterprise, Elmo gives you the tools to track visibility trends, analyze citation sources, and identify gaps in your AI visibility strategy. The platform includes a powerful dashboard, per-prompt visibility scores, citation category breakdowns, competitor comparisons, and deep dives into individual AI responses. With Elmo, you can roll your own AI visibility optimization (AEO) in minutes and stay ahead in the AI era.

Features of Elmo

Dashboard

Elmo provides a command center for your AI visibility, displaying everything at a glance. You can see current visibility scores, trends over time, citation category breakdowns, specific cited pages, and key metrics. This centralized view allows you to quickly assess your brand's performance across all AI models and identify areas that need attention.

Visibility Tracking

Track your brand's visibility across every prompt and model with granular filtering. Filter by AI model, time range, and tags to see per-prompt visibility scores. Trend lines compare your brand against competitors, showing how your visibility changes over time. This feature enables you to understand which prompts drive the most mentions and where you need to improve.

Citation Analysis

Understand where AI models get their information about your brand. Elmo shows which domains and URLs are cited most frequently, tracks new and dropped sources over time, and breaks down citations by category such as brand, competitor, social, and more. This insight helps you identify which content sources are influencing AI responses and where to focus your content strategy.

Deep Dive Inspection

Inspect every individual AI response in detail. Drill into any prompt to see exactly what each AI model said, which brands were mentioned, what sources were cited, and how the response was constructed. This feature gives you complete transparency into AI behavior and allows you to verify the accuracy of mentions and citations.

Use Cases of Elmo

Brand Monitoring and Reputation Management

Marketing teams can use Elmo to continuously monitor how AI models mention their brand across hundreds of prompts. By tracking visibility scores, citation sources, and sentiment, teams can quickly detect negative mentions, incorrect information, or brand dilution. This allows for proactive reputation management and rapid response to any issues.

Competitive Benchmarking

Brand managers can benchmark their AI visibility against competitors across different models and prompts. Elmo provides clear comparison data showing who dominates which prompts and the overall mention rate. This helps identify competitive gaps, understand competitor strengths, and inform strategic decisions to improve market positioning.

Content Strategy Optimization

SEO and content teams can use citation analysis to understand which domains and URLs are influencing AI responses. By tracking which sources are cited most and identifying new or dropped citations, teams can optimize content to increase the likelihood of being referenced by AI models. This data-driven approach improves content ROI and AI visibility.

Agency and White Label Reporting

Agencies managing AI visibility for multiple clients can use Elmo's white label option to provide branded reporting and analytics. The platform allows agencies to track client visibility, generate custom reports, and demonstrate the impact of their AI optimization efforts. This builds trust and showcases value to clients.

Frequently Asked Questions

What AI models does Elmo support?

Elmo supports a wide range of AI models including ChatGPT, Claude, Gemini, Grok, Mistral, Perplexity, Copilot, DeepSeek, Google AI Mode, and Google AI Overviews. You can also bring your own API keys or use OpenRouter to track additional models. The platform is designed to be extensible and supports all major AI search and conversational AI platforms.

Is my data secure with Elmo?

Yes. Elmo is open source and self-hosted, meaning you run the platform on your own infrastructure. Your data never leaves your control, eliminating vendor lock-in and ensuring full data privacy and security. You have complete access to the source code and can audit it at any time. This is ideal for organizations with strict data governance requirements.

What is the difference between self-hosted and cloud versions?

The self-hosted version is free and includes unlimited prompts, all AI models, citation analysis, competitor tracking, full source code access, and community support. The cloud version, coming soon, adds managed hosting, automatic updates, priority support, daily backups, and usage analytics. The white label option is for agencies and includes custom branding, custom domain, SSO, and prioritized features.

How do I get started with Elmo?

Getting started is quick. Install the CLI tool using npm with the command "npm install -g @elmohq/cli" and then run "elmo init" to set up your project. The platform provides a quickstart guide and comprehensive documentation. You can also view the source code on GitHub and join the Discord community for support from the maintainers.

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