Algomizer vs. AiRR

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establish the third-party corroboration that engines look for before repeating a claim, and correction of inaccurate or outdated information models are currently repeating about your brand.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

The AiRR Score acts as an unbiased tool designed to evaluate the visibility of AI searches, which is often termed Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). To calculate this score, AiRR employs thousands of standardized, unpersonalized queries aimed at AI models including ChatGPT, Gemini, Claude, and Perplexity, while examining brand visibility through a distinct framework known as the 4P: Perception, Persistence, Presence, and Prestige. This comprehensive assessment yields a composite AiRR Score that ranges from 0 to 100, with results provided distinctly for each engine and persona to maintain transparency without merging the outcomes. Unlike other platforms that both assess brand performance and provide optimization solutions, AiRR is dedicated purely to measurement, thereby creating a neutral and trustworthy benchmark for boards, investors, and potential buyers. Furthermore, the Persona AiRR Drift metric evaluates the variations in visibility when viewed through a specific ideal customer profile compared to a general prompt. Established in 2025 by Steven Perlman, AI Reach Rank Inc. is based in New York and is leading the charge in AI visibility evaluation. This pioneering method not only deepens the comprehension of brand positioning but also delivers practical insights that assist businesses as they navigate the intricacies of AI-centric markets. By focusing on these critical aspects, AiRR empowers organizations to fine-tune their strategies in real-time, ultimately enhancing their competitive edge in a rapidly evolving landscape.