Methodology
Research-driven
The GEO-16 framework is based on analysis of actual AI engine citations and behavior patterns across major platforms.
Consultation
Book a consultation to structure identity, evidence, and machine-readable representations AI systems can retrieve and verify.
Neural Command consultations assess identity, relationships, evidence, provenance, and machine-readable representations — then map a path so AI systems can retrieve, verify, and ground the right organizational knowledge.
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Methodology
The GEO-16 framework is based on analysis of actual AI engine citations and behavior patterns across major platforms.
Delivery
Actionable recommendations with clear implementation steps and measurable outcomes for retrieval infrastructure.
Outcomes
Organizations typically see measurable improvements in AI citation rates within 90 days of GEO implementation.
We discuss your AI visibility goals and technical infrastructure, review site structure, schema, and crawl efficiency, and outline how our services address your needs.
Most implementations follow a 6–8 week timeline: discovery and audit (1–2 weeks), implementation (3–4 weeks), validation and monitoring (1–2 weeks).
GEO-16 implementations often show measurable citation improvements within 90 days. Crawl clarity work can show results in 2–3 weeks.
Yes — methodology-driven across B2B SaaS, professional services, e-commerce, and technical documentation, tailored to your context.
GEO-16 pillars, crawl efficiency, schema, URL structure, hreflang, canonical management, and AI citation patterns — with prioritized recommendations.
Yes — hreflang, locale-specific structured data, regional optimization, and multi-regional crawl management.
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.