LLM Strategy Team

Our LLM Strategy team defines and implements the LLM Strategist methodology. Learn more about the LLM Strategist role.

LLM Strategy Team

The LLM Strategy team at NRLC.ai defines the methodology, frameworks, and best practices for LLM Strategist roles. Our team combines technical SEO expertise, AI system knowledge, and strategic thinking to advance how brands optimize for AI answer engines.

Team Members

Joel Maldonado

Role: Founder & LLM Strategy Lead

Background: 10+ years in technical SEO, structured data, and AI optimization. Developed the LLM Search Strategy Framework and GEO-16 methodology for AI citation optimization.

Credentials: Published research on AI engine behavior, citation patterns, and retrieval optimization. Contributor to schema.org and structured data best practices.

Contact: contact@neuralcommandllc.com

Technical SEO Team

Focus: Structured data implementation, entity recognition systems, canonical control, and citation tracking infrastructure.

Expertise: JSON-LD schema design, entity alignment, retrieval optimization, and AI system testing methodologies.

Research & Development

Focus: AI engine behavior research, citation pattern analysis, and framework development.

Expertise: GEO-16 framework, retrieval mechanics, entity recognition systems, and citation accuracy measurement.

Methodology & Frameworks

Our team has developed the LLM Search Strategy Framework, a 7-step methodology for optimizing brand visibility in AI answer engines. This framework is used by LLM Strategists worldwide to systematically improve citation rates, retrieval surface area, and entity alignment.

Learn more about the LLM Search Strategy Framework

Why We're Qualified

LLM Strategist role overview | LLM Search Strategy Framework

Discuss your AI search visibility

Tell NRLC what you want AI systems to get right about your company. The conversation covers how the site is read, what can be cited, and what to change.