Elmo

Elmo is an innovative, open-source AI visibility tracking tool designed to help brands understand, monitor, and enhance their presence across various AI models. In today's rapidly evolving digital landscape, how AI models like ChatGPT, Claude, Gemini, and Perplexity talk about your brand directly impacts consumer perception and business outcomes. Elmo solves the critical problem of brand invisibility in AI-generated responses by providing a comprehensive platform to track mentions, analyze citations, and benchmark against competitors. This tool is built for marketing managers, brand strategists, data analysts, and SEO professionals who need actionable insights into their AI search visibility. By being self-hosted and open source, Elmo ensures that your sensitive brand data remains secure and accessible, completely free from vendor lock-in. You own your data, your infrastructure, and your insights. The platform allows you to track visibility across any AI model, see exactly what AI search users see, and understand which sources AI models cite most frequently. With features like per-prompt visibility scores, citation category breakdowns, and trend analysis over months, Elmo empowers businesses to make informed, strategic decisions. Whether you are optimizing content for AI search, monitoring competitor activity, or identifying gaps in your AI visibility, Elmo provides the command center you need to navigate the AI-driven world. It is practical, solution-oriented, and built for teams that want to take control of their AI presence without relying on expensive, proprietary tools.

Dashboard

Your AI visibility command center that gives you a complete overview at a glance. See current visibility metrics, track trends over time, view citation category breakdowns, identify specific cited pages, and monitor key performance indicators. This centralized view eliminates the need to jump between multiple tools, saving time and providing clarity on your brand's AI footprint.

Visibility Tracking

Track your brand's visibility across every prompt and every AI model with granular precision. Filter results by AI model, time range, and custom tags to isolate specific performance areas. View per-prompt visibility scores complete with trend lines that compare your brand directly against competitors. This feature enables you to see exactly where you are winning and where you need improvement.

Citation Analysis

Understand exactly where AI models are getting their information about your brand. See which domains and URLs are cited most frequently, track new sources as they appear, and identify sources that have dropped off over time. Break down citations by category, including brand mentions, competitor references, social media sources, and more. This deep insight helps you refine your content strategy.

Competition Benchmarking

See how your brand stacks up against the competition with clear, data-driven comparisons. Compare your brand's AI mention rate against competitors to understand who dominates which prompts and topics. Identify gaps in your own AI visibility and uncover opportunities to capture more mentions. This feature turns competitive intelligence into actionable strategy.

Deep Dive Response Inspection

Drill into any individual AI response to see exactly what each model said about your brand. View the complete response text, identify which brands were mentioned, see what sources were cited, and understand how the response was constructed. This level of detail is essential for diagnosing visibility issues and understanding AI behavior.

Trend Analysis

Watch how your brand's AI visibility changes over months and years. Track long-term trends compared to competitors to spot the impact of content changes, market shifts, and strategic initiatives. With 12-month views and year-over-year percentage changes, you can measure the effectiveness of your AI optimization efforts over time.

Managing Brand Reputation in AI Search

Marketing managers can use Elmo to continuously monitor how AI models like ChatGPT and Gemini describe their brand. When a negative or inaccurate mention appears, the team can immediately investigate the cited sources and take corrective action. This proactive approach prevents minor reputation issues from escalating and ensures consistent brand messaging across all AI platforms.

Optimizing Content for AI Citations

Content strategists can analyze which domains and URLs AI models cite most frequently for their industry. By understanding the patterns and preferences of AI citation behavior, they can create content that is more likely to be referenced. This data-driven content strategy directly improves brand visibility and ensures that AI models are pulling from authoritative, on-brand sources.

Competitive Intelligence and Gap Analysis

Brand strategists can benchmark their AI visibility against top competitors to identify market positioning gaps. For example, a brand might discover that a competitor dominates a specific prompt related to a key product category. This insight allows the team to develop targeted content and messaging to close that gap and capture more AI mentions in that area.

Measuring ROI of AI Optimization Campaigns

Data analysts can track visibility trends over months to measure the impact of specific campaigns or content changes. By correlating content publishing dates with visibility score changes, teams can quantify the return on investment for their AI optimization efforts. This data-driven approach justifies budget allocation and guides future strategy.

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. The platform is designed to be extensible, allowing you to track any AI model by using web scraping for AI search results or APIs for direct LLM responses. You can also bring your own API keys for full flexibility.

Is my data secure with Elmo?

Yes, Elmo is self-hosted and open source, meaning you run the platform on your own infrastructure. Your data never leaves your control, and you are completely free from vendor lock-in. This approach ensures that sensitive brand information, competitive data, and proprietary insights remain secure and accessible only to your team. You own your data forever.

How do I get started with Elmo?

Getting started is simple. Install the Elmo CLI globally using npm with the command "npm install -g @elmohq/cli". Then run "elmo init" to set up your first project. The platform includes a quickstart guide and comprehensive documentation to help you configure prompts, add competitors, and begin tracking visibility within minutes.

Can I track competitors with Elmo?

Absolutely. Elmo includes dedicated competition benchmarking features that allow you to compare your brand's AI mention rate against any competitors you choose. You can see who dominates specific prompts, understand visibility gaps, and track how competitor visibility changes over time. This competitive intelligence is essential for strategic planning.

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

The self-hosted version is free and open source, giving you full access to all features including unlimited prompts, all AI models, citation analysis, competitor tracking, and full source code access with community support. The cloud version, coming soon, will offer managed hosting with automatic updates, priority support, and daily backups. A white-label option is also available for agencies.

Elmo offers three pricing options to fit different needs. The Self-Hosted plan is $0 and includes unlimited prompts, all AI models, citation analysis, competitor tracking, full source code access, and community support. The Cloud plan is coming soon and will include everything in Self-Hosted plus managed hosting, automatic updates, priority support, and daily backups. The White Label plan is custom priced and includes everything in Cloud plus custom branding, custom domain, SSO, a shared Slack channel, and prioritized features.