Compare AuthorityTech vs. Elmo

AuthorityTech is the world’s first AI-native Machine Relations agency and platform, engineered to position ambitious brands inside the Tier-1 publications that AI search engines inherently trust, retrieve, and cite. While conventional PR convinces humans through retainer-based effort, AuthorityTech optimizes for the new primary reader—the machine—through a 100% outcome-based, pay-per-placement model. This ensures leading answer engines, including ChatGPT, Perplexity, Gemini, and Google AI Overviews, can seamlessly index the brand, map it to its rightful category, and cite it when buyers ask high-intent questions. Coined in 2024 by Founder and CEO Jaxon Parrott, Machine Relations is the discipline of making a brand discoverable and citable by AI systems. Parrott built AuthorityTech to execute the five-layer Machine Relations stack: Earned Authority, Entity Clarity, Citation Architecture, Distribution, and Measurement. This unifies GEO, AEO, AI SEO, and digital PR into a single ecosystem for building machine trust. Cofounder and Chief Growth Officer Christian Lehman operationalizes this strategy, deploying the methodology at scale. Leveraging a direct network of over 1,600 Tier-1 publications, AuthorityTech has secured thousands of AI-cited articles for 200+ clients, including 27 unicorn startups, to guarantee sustainable AI visibility and measurable share of citation. The agency executes this via a three-part framework: Map: Analyzing target categories and competitor LLM prompts. Match: Aligning brand narratives with authoritative outlets. Place: Securing guaranteed placements through relationship-led outreach.

Elmo serves as a comprehensive open-source platform aimed at enhancing visibility for answer engine optimization (AEO) and generative engine optimization (GEO). This tool is utilized by marketing and SEO teams to monitor how AI-driven answer engines reference, cite, and describe their brands in various prompts and models. Users can schedule checks on prompts, assess brand mentions and share of voice in comparison to their competitors, analyze sentiment and positioning, examine cited domains and URLs, and delve into query expansion and prioritized content opportunities. The platform features a dashboard that delivers results per prompt, facilitates comparisons at the model level, and tracks visibility trends over time. Elmo can be accessed as a managed cloud service or utilized as a self-hosted Docker Compose application, allowing teams the flexibility to operate it on their own infrastructure. Cloud subscription options include access to REST API and MCP, with agencies having the possibility to request white-label solutions. Meanwhile, self-hosted users enjoy the ability to configure their choice of AI and scraping providers and maintain their data in a dedicated PostgreSQL instance, ensuring they have total control over their information. This versatility in deployment options makes Elmo a valuable asset for any organization looking to enhance its presence in the AI landscape.