Monroya vs. AuthorityTech

Monroya provides support to B2B and SaaS businesses in evaluating and improving the way AI models such as ChatGPT, Claude, Gemini, and Perplexity engage with and recommend services to prospective clients. With the rising prominence of AI assistants in buyer research, Monroya conducts a thorough analysis of visibility across the Discovery, Evaluation, and Decision phases of the buying journey, focusing not on an aggregate score but on a nuanced assessment that highlights areas of strength and weakness compared to competitors. Each prompt undergoes multiple evaluations for each AI model to ensure consistency in responses. The platform includes a user-friendly AI-readiness assessment that does not require any sign-up, a prioritized list of actionable enhancements, a Reddit Gaps tool that pinpoints discussions where competitors are mentioned but the company is not, and ongoing rescans to assess the success of implemented changes. This forward-thinking solution was crafted by a marketing professional with 25 years of expertise, utilizing AI-driven technologies to optimize the evaluation process. Monroya is dedicated to equipping businesses with the tools necessary to successfully navigate the intricate AI landscape, ensuring they can leverage insights for strategic advantage. Moreover, by focusing on continuous improvement and real-time analysis, Monroya fosters an environment where companies can adapt and thrive in an ever-evolving market.

AuthorityTech operates the world’s inaugural AI-native Machine Relations platform and agency, engineered specifically to establish ambitious brands within the Tier-1 media outlets that AI search engines intuitively trust, index, and cite. While legacy public relations agencies rely on retainer-heavy efforts to influence humans, AuthorityTech designs earned media for the true modern gatekeeper—the machine—utilizing a risk-free, 100% performance-based, pay-per-placement framework. Through this approach, leading answer engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews can accurately process the brand, map its placement to the correct market category, and reference it during high-intent buyer queries. Defined in 2024 by Founder and CEO Jaxon Parrott, Machine Relations represents the strategic discipline of making corporate brands discoverable and citable across LLM architecture. AuthorityTech executes this via a proprietary five-layer system: Earned Authority, Entity Clarity, Citation Architecture, Distribution, and Measurement—unifying AI SEO, GEO, AEO, and PR into a singular engine for scaling machine trust. Chief Growth Officer and Cofounder Christian Lehman operationalizes the methodology, collaborating directly with growth companies to deploy this strategy globally. Tapping into a direct distribution network of over 1,600 Tier-1 publications, AuthorityTech has generated thousands of AI-cited placements for more than 200 corporate clients, including 27 tech unicorns, to secure permanent AI search footprint and measurable citation share. The agency delivers this through a three-stage execution process: Map: Reverse-engineering category landscapes and competitor prompt footprints. Match: Blending unique brand narratives with highly authoritative media outlets. Place: Guaranteeing live coverage through strategic, relationship-driven outreach.