Elmo Hq

Elmo is an open-source platform for tracking brand visibility across AI models. It addresses the need to understand how AI answer engines mention, cite, and represent brands in generated responses through Answer Engine Optimization practices.

The platform monitors brand mentions, analyzes citations, and benchmarks visibility against competitors. A dashboard shows current visibility, trends, citation category breakdowns, specific cited pages, and key metrics. Visibility can be tracked across every prompt and model with filters for AI model, time range, and tags, displaying per-prompt visibility scores alongside trend lines that compare a brand to competitors. Citation analysis identifies the domains and URLs cited most frequently by models, tracks new and dropped sources over time, and categorizes citations by brand, competitor, social, and other types. Prompts support full-text search, tagging, and organization for filtering and per-prompt visibility tracking.

Competitive analysis compares a brand's AI mention rate against others to identify dominance in specific prompts and visibility gaps. Individual AI responses can be inspected to examine exact output, mentioned brands, cited sources, and response construction. Trends track visibility changes over months relative to competitors, highlighting effects from content updates or market shifts. Supported models include ChatGPT, Claude, Gemini, Grok, Mistral, Perplexity, Copilot, DeepSeek, Google AI Mode, and Google AI Overviews, using web scraping for direct observation or APIs and OpenRouter with user-provided keys.

Elmo is delivered as a self-hosted solution with full source code access on GitHub. A command-line interface enables quick setup through an npm package. It is free and open source for self-hosting with no license fees or per-seat pricing, though users cover their own infrastructure and API key costs. Managed cloud hosting and white-label options are listed as available or forthcoming. The tool is developed by Blue Whale Software, LLC.