Compare Algomizer vs. citeOS

Algomizer is an AI search optimization agency. We work on the retrieval layer that determines whether a language model mentions your product when someone asks it a question in your category. The mechanics differ from search engine optimization in ways that matter technically. A generative engine does not return a ranked list of documents. It issues one or more reformulated queries against a retrieval index, pulls back passages rather than pages, scores them for relevance and source credibility, and synthesizes an answer that may cite four sources out of several hundred retrieved. Page-level authority still contributes, but the unit that gets retrieved is the chunk, and a chunk that depends on surrounding context to make sense will be retrieved and then discarded. Most of our engineering work follows from that. We restructure content so passages are self-contained: explicit entity naming instead of anaphora, claims stated in full within the chunk, question-shaped headings aligned to actual query phrasing rather than to editorial style. We implement structured data properly, which in practice means Organization, Product, FAQPage and HowTo schema that validates and reflects what is actually on the page rather than schema bolted on for its own sake. We audit crawlability for AI user agents specifically, since GPTBot, ClaudeBot, PerplexityBot and Google-Extended are frequently blocked by robots.txt rules written years ago for a different threat model, or by CDN bot rules nobody has revisited. We implement llms.txt where it makes sense. The off-site half is corroboration. Models are more willing to state a claim about a company when that claim appears consistently across independent sources. That is addressable through original research designed to be cited, consiste

citeOS is a specialized AI citation platform designed specifically for brands in the crypto and Web3 sectors. Each audit utilizes 20 buyer-intent prompts across five distinct AI engines—ChatGPT, Perplexity, Gemini, Claude, and Google AI Mode—resulting in a comprehensive analysis of 100 observation points. The outcomes are rated on a scale from 0 to 100, with all scoring metrics transparently published rather than concealed in a black box. Unlike traditional AEO tools that merely track mentions, citeOS evaluates over 500 crypto editorial outlets that AI engines actually reference, categorized into ten distinct verticals such as exchanges, DeFi, Layer 1 and Layer 2 solutions, real-world assets (RWA), payment systems, decentralized physical infrastructure networks (DePIN), and wallets. This enables protocols to understand not only their citation status but also the authoritative sources shaping the information surrounding them. The operational cycle consists of auditing, implementing necessary corrections, and conducting follow-up audits for continuous improvement. Developed by Emergence Media based in Gurgaon, citeOS aims to enhance transparency and accuracy in the rapidly evolving crypto landscape.