citeOS vs. AuthorityTech

citeOS is a dedicated AI citation platform tailored for brands operating within the crypto and Web3 industries. Each audit process employs 20 buyer-intent prompts across five unique AI engines—ChatGPT, Perplexity, Gemini, Claude, and Google AI Mode—culminating in a thorough analysis of 100 observation points. The results are scored on a scale from 0 to 100, with all evaluation criteria made openly available instead of being hidden in a black box. In contrast to conventional AEO tools that only monitor mentions, citeOS assesses more than 500 crypto editorial outlets referenced by AI engines, organized into ten specific verticals including exchanges, DeFi, Layer 1 and Layer 2 solutions, real-world assets (RWA), payment systems, decentralized physical infrastructure networks (DePIN), and wallets. This comprehensive approach empowers protocols to gain insights into their citation status as well as the credible sources influencing the narrative around them. The operational process involves auditing, making necessary adjustments, and performing follow-up audits to ensure ongoing enhancement. Developed by Emergence Media, headquartered in Gurgaon, citeOS is committed to fostering transparency and accuracy within the fast-changing crypto ecosystem, ultimately aiding brands in navigating this complex landscape more effectively.

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.