citeOS vs. Algomizer

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.

Algomizer is a done-for-you AI search optimization agency for companies whose buyers have started asking AI models instead of search engines. The commercial problem is straightforward. When a prospect asks ChatGPT, Gemini, Perplexity or Claude which vendor they should consider, the model names a handful of companies. There is no second page. If you are not in that answer, you are not in the evaluation, and you will never see the lost opportunity in your analytics because the buyer never visited your site to begin with. Referral traffic from AI assistants converts at a far higher rate than organic search, because the model has already done the shortlisting. We handle the entire program rather than selling you a dashboard and leaving the work to your team. Engagements begin with measurement. We map the prompt space for your category, which is the full set of questions buyers actually ask on the path to a purchase decision, including comparison queries, alternatives queries and best-tool-for queries where purchase intent is highest. We measure your presence across that space engine by engine and benchmark it against your competitors to establish a share-of-voice baseline you can hold us to. From there we execute. That includes content and evidence engineering, technical implementation and structured data, original research built to be cited by models rather than skimmed by humans, digital PR to establish the third-party corroboration that engines look for before repeating a claim, and correction of inaccurate or outdated information models are currently repeating about your brand. Monitoring runs throughout. You see which prompts you appear in, how you are described, which competitors appear alongside you, and which specific pages each engine cited, with alerts when something regresses or a negative mention surfaces. Reporting ties back to the original baseline, so gains are attributable to specific prompts and specific commercial queries rather than