Maya AI vs. Algomizer

Maya AI functions as a holistic platform that provides insights and search analytics through advanced language models, specifically tailored for brands and marketing agencies. It empowers teams to keep track of brand mentions, monitor cited sources, evaluate sentiment, and understand the competitive landscape of voice across various AI platforms, including ChatGPT, Gemini, Claude, and Perplexity. By utilizing Maya, marketing, SEO, content, and growth teams can explore the narratives linked to their brand in AI-generated outputs, recognize content and citation deficiencies, and focus on refining their SEO, AEO, and GEO strategies. The platform is equipped with features like prompt management, competitive benchmarking, source analysis, AI referral traffic insights, and thorough technical audits aimed at boosting AI visibility. Furthermore, the inclusion of a public REST API, alongside an OpenAPI specification and a hosted MCP server, enables seamless integration of authorized workspace data with compatible AI systems and other tools, enhancing overall functionality and user accessibility. This robust integration not only aids brands in optimizing their AI strategies but also positions them to respond adeptly to the constantly changing digital environment, ensuring they stay ahead of the competition. Ultimately, Maya AI transforms the way brands engage with AI technologies, paving the way for more informed decision-making and strategic growth.

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