Elmo

Elmo is a revolutionary, open-source AI visibility tracking tool engineered to decode and optimize how your brand is perceived across the entire AI ecosystem. In an era where AI models like ChatGPT, Claude, and Gemini are the new search engines, Elmo acts as your command center for AI Engine Optimization (AEO). It systematically monitors mentions, analyzes citations, and benchmarks your brand against competitors across a vast array of AI platforms. Built for marketing managers, brand strategists, and data analysts, Elmo provides the granular, real-time intelligence needed to navigate this futuristic landscape. The platform is fully self-hosted, ensuring your proprietary data remains under your control, immune to vendor lock-in or data leaks. By scraping web-based AI responses and integrating with proprietary APIs, Elmo offers a comprehensive view of your brand’s digital footprint. It empowers you to see exactly how AI constructs narratives around your products, which sources it trusts, and how your visibility shifts over time. With Elmo, you are not just reacting to the AI revolution; you are actively shaping how intelligent systems perceive and promote your brand, giving you a decisive competitive advantage in a world where AI recommendations dictate consumer behavior.

Dashboard

Your AI visibility command center. This feature provides a holistic, at-a-glance view of your brand's performance across all tracked models. It surfaces current visibility scores, real-time trends, citation category breakdowns, specific cited pages, and key performance metrics. The dashboard is designed to be the single source of truth for your AEO strategy, allowing you to monitor the pulse of your AI presence without digging through raw data.

Visibility Tracking

Track your brand's visibility across every prompt and model with surgical precision. This feature allows you to filter data by AI model, time range, and custom tags. It provides per-prompt visibility scores accompanied by dynamic trend lines that compare your brand’s performance directly against your competitors. This granular view reveals exactly which queries drive your AI presence and which need strategic improvement.

Citation Analysis

Understand exactly where AI models source their information about your brand. This feature dissects which domains and URLs are most frequently cited, tracks new and dropped sources over time, and breaks down citations by category such as brand mentions, competitor references, social media, and news. This deep insight allows you to optimize your content strategy to become the most authoritative source for AI models.

Competition Benchmarking

See how you stack up against the competition in the AI arena. This feature compares your brand's AI mention rate against a list of competitors, revealing who dominates which prompts and where your visibility gaps exist. With clear, comparative percentages, you can identify market leaders in specific AI conversations and formulate a targeted strategy to capture more mindshare from intelligent systems.

Optimizing Content for AI Discovery

A content marketing team uses Elmo to understand which of their existing articles are being cited by AI models. By analyzing citation sources and categories, they identify that their technical documentation is highly referenced but their blog posts are not. They then restructure their blog content to be more factual and authoritative, directly increasing their citation rate in AI responses for key industry prompts.

Competitive Intelligence in AI Search

A brand strategist at a major sportswear company uses Elmo to benchmark their AI visibility against rivals like Nike and Adidas. They discover a competitor is dominating a specific prompt related to sustainable materials. By drilling into the deep dive feature, they see the exact response and sources cited. The strategist then launches a targeted content campaign around their own sustainability initiatives, successfully closing the visibility gap within a quarter.

Monitoring Brand Sentiment Across Models

A PR manager uses Elmo to track how different AI models (ChatGPT vs. Claude) describe their brand after a product launch. They notice one model consistently cites a negative review from a minor forum, while another focuses on positive press. Using this insight, the manager engages with the forum to address the issue and works on getting the positive press more indexed, ensuring a more balanced AI-generated narrative across all platforms.

A/B Testing for AI Engine Optimization

A data analyst uses Elmo to test the impact of different content strategies on AI visibility. They create two versions of a product page and use Elmo to track which version is more frequently cited by AI models over a month. The data shows Version B, which uses more structured data and clear definitions, is cited 40% more often. This data-driven approach allows the company to refine its entire content production pipeline for maximum AI discoverability.

What is AI visibility and why does it matter?

AI visibility refers to how often and how favorably your brand is mentioned by large language models (LLMs) like ChatGPT, Claude, and Gemini. It matters because AI is becoming the primary interface for information discovery. If your brand is not mentioned, or is mentioned negatively, by these systems, you are losing mindshare and potential customers to competitors who are optimizing their content for AI consumption.

Is Elmo truly open source and self-hosted?

Yes, Elmo is completely open source and designed to be self-hosted. This means you have full access to the source code and can run the platform on your own infrastructure. This approach guarantees that your sensitive brand data, competitive intelligence, and proprietary prompts never leave your control, eliminating the risks associated with vendor lock-in and third-party data handling.

Which AI models can Elmo track?

Elmo offers extensive model coverage. It can track visibility across all major AI models including ChatGPT, Claude, Gemini, Grok, Mistral, Perplexity, Copilot, DeepSeek, and Google AI Mode and Overviews. It uses web scraping for models with public interfaces and APIs for those that provide them, including support for OpenRouter to access a vast array of other LLMs.

How do I get started with Elmo?

Getting started is quick and developer-friendly. You can install the Elmo CLI tool globally using npm with the command npm install -g @elmohq/cli. After installation, you simply run elmo init to set up your project. The tool guides you through the configuration process, allowing you to start tracking your brand's AI visibility in minutes. A live demo is also available on the website to explore the dashboard before installing.