References
Sources
- GPTBot Web Crawler Documentation — OpenAI
- Perplexity Crawler Documentation — Perplexity
- Structured Data and Rich Results — Google Search Central
Retrieval · AI Search Optimization
AI Search Optimization is the work of making a company retrievable and citable in AI search: what the source says, how machines read it, and which surfaces can attribute it. NRLC evaluates access, entities, structured data, and citation conditions. Visibility is measured with a named engine, a frozen prompt set, and an observation window. An engagement does not guarantee citations, rankings, or traffic.
NRLC looks at how AI systems currently describe your business, then changes the website and the machine-readable information those systems read. An engagement does not include every check below unless the site needs it.
The category is explained on AI SEO. A single URL can be inspected with INGEST. Structured data implementation is schema markup and structured data.
FAQ
AI Search Optimization evaluates and changes the source systems AI search uses to retrieve and cite an organization. It does not guarantee citations, rankings, or traffic.
Book a consultation at nrlc.ai/en-us/book/. We review retrieval, citation, and source-system integrity. No obligation; response within 24 hours.
Yes. We work with SMBs, mid-market companies, and enterprises. Scope follows your retrieval and citation requirements.
NRLC does not publish a timeline. The consultation covers what can be inspected now and what would have to be measured before any change is reported.
Yes. Neural Command is headquartered in Santa Monica and serves Los Angeles, California, and nationwide (including UK).
Research & diagnostics: Read citation infrastructure research · View AI visibility diagnostics · Explore the GEO research hub
References
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.