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.
For a full GEO engagement (audit, entity and schema work, citable content, third-party mentions and tracking), see generative engine optimization services. Background: what generative engine optimization is.
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).
A traditional SEO company reports rankings and traffic. An AI search company reports both boards: classic rankings plus whether ChatGPT, Perplexity, Gemini and Google AI Overviews name and cite you. The work is different too --- quotable answer blocks, entity clarity, structured data, and a fixed prompt set probed on a schedule. Neural Command LLC runs the audits against a published method and shows the gap list.
The same prompt set is run with location language attached --- the city, the county, the service area --- and each answer is scored the same 0-to-3 way. Local AI visibility is won or lost on whether engines bind your entity to the place, which is co-occurrence: the name next to the category next to the geography, repeated across surfaces. Neural Command LLC measures the binding before it builds anything.
It mines the questions people prompt, builds one answer per question in extractable blocks, ships with schema and entity naming, then probes the same questions on a schedule and publishes the deltas --- including the zeros. If a vendor cannot show the prompt set or the gap list, the measurement is not happening. Neural Command LLC publishes its method instead of burying it.
Research & diagnostics: Read citation infrastructure research · View AI visibility diagnostics · Explore the GEO research hub
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.