NeuroRank
NeuroRank is an AI visibility intelligence platform that helps brands monitor, diagnose, and optimize how they appear in AI search engines and large language models. The platform tracks brand inclusion, recommendation, and citation scores across models like ChatGPT, Gemini, Perplexity, and Claude, using a fresh-token methodology with 5,500+ prompt runs per cluster per region. It provides ORHL diagnostics, prioritized fixes, and a Maker-Checker governance workflow for auditable implementation.
- Artificial Intelligence
- Marketing Technology
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Brands lack visibility into how AI search engines and large language models represent them, creating an uncontrolled environment where AI systems may omit, replace, or hallucinate brand information. Without structured monitoring, companies cannot diagnose broken AI presence or track improvements, leading to lost consumer trust and missed opportunities in AI-driven discovery.
Solution
NeuroRank provides a model preference engineering layer that continuously governs how AI platforms represent brands. The platform maps prompt clusters with real-time intelligence and live AI search use behavior, then diagnoses where AI presence is broken and prescribes specific fixes. It tracks brand inclusion, recommendation, and citation scores across multiple AI models, with a Maker implementation tracker and Checker approver panel that verify every implementation against best-practice benchmarks. The system includes RAG conditioning, citation tracking, and a recommendation engine, all supported by structured advisory hours to bridge internal LLMO skill gaps.
Target Audience
Primary customers are enterprise marketing teams, brand managers, and SEO professionals at large enterprises and mid-market brands who need to monitor and optimize their AI visibility across multiple regions and AI platforms.
Features
- Live prompt intelligence mapping consumer questions by intent across ChatGPT, Gemini, Perplexity, and Claude
- Fresh-token methodology with 5,500+ prompt runs per cluster per region for high-volume data fidelity
- Brand Inclusion, Recommendation, and Citation Scores with trend tracking and competitive benchmarking
- ORHL diagnostics identifying Omitted, Replaced, Hallucinated, and Zero Lead outcomes at prompt-cluster level
- Maker implementation tracker paired with Checker approver panel for auditable governance from recommendation to execution
- RAG conditioning and citation source classification with evidence links and priority-ranked recommendations
- Regional market fidelity capturing AI logic variances across Asia, India, US, Gulf, and European markets
- ISO/IEC 27001 certified with zero PII access required