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An AI search visibility and Generative Engine Optimization (GEO) platform that tracks and optimizes brand recommendations across major LLM engines like ChatGPT, Gemini, and Perplexity.
Generative Engine Optimization Answer Engine Optimization AI Search Intent Mapping Multi-Platform Competitor Benchmarking Citation Audit and Schema Recommendation
Tracks live organic visibility and brand recommendations inside generative AI answers rather than standard search result lists Monitors five major LLM ecosystems simultaneously using front-end response capture techniques instead of basic API calls Quantifies conversational presence through strict metrics like Mention Rate, Citation Share, and Absolute Prominence Score Supplies prioritized compliance checklists to fix citation discrepancies, author E-E-A-T indicators, and organization schema markup Automates the generation of structural content formats that AI discovery models naturally prioritize for references
Category: Marketing & Growth
Team Size: 2-10
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Rank Prompt is a specialized generative engine optimization (GEO) and answer engine optimization (AEO) platform built to track brand presence within AI-generated responses. Instead of monitoring traditional search engine keyword positions, the platform executes user prompt simulations across multiple large language models—including ChatGPT, Gemini, Perplexity, Claude, and Grok—to measure mention rates and citation shares. It features real-user browser-based response capture, absolute prominence scoring, and multi-modal source auditing to determine how prominently a company is featured in AI answers. The platform automatically generates prioritized improvement checklists, schema recommendations, and AI-retrievable content formats to help digital growth teams, software startups, and marketing agencies enhance their modern discoverability index.
Rank Prompt was co-founded in June 2025 by digital marketing leaders Nazareno Castro Bay, Trevor Anderson, Ethan Kramer, and Kristopher Cole Feigl alongside founding engineer Tomas Marengo. Originally structured as an internal analytics system within their marketing agency to answer client queries regarding AI recommendations, the framework proved too critical to keep private. The partners developed it into a standalone software-as-a-service application to provide companies with quantifiable tracking metrics across evolving answer engines.
