In AI-powered search, is our brand being cited?
We check and improve crawler access, content structure and schema so your brand is cited accurately in AI answers from ChatGPT, Perplexity, Gemini and Google AI Mode. Neodigm works with you from diagnosing where you stand to a measurement system.

Our search ranking is fine, but our brand is missing from AI answers
Alongside search results, AI answers that synthesize multiple sources are becoming an important way people discover brands. Apart from your search ranking, you need to see how your brand is mentioned and cited in AI answers.
We do not know whether AI crawlers are blocked in robots.txt
Important content is hidden behind logins or paywalls
We track only search ranking metrics and do not measure AI citation frequency
We optimize "meaning and structure," not ranking
Unlike the ranking competition of traditional SEO, LLMO focuses on organizing structure and access so AI can extract and reuse the meaning of your content accurately. The goal is visibility frequency: how often your brand is mentioned across more prompts.
Check and adjust whether AI crawlers are allowed
Make sure key content is server-side rendered (SSR)
Apply FAQ and product schema markup
Build a new measurement system based on AI citation frequency
Brand Visibility in numbers
Setting the scope of checks and how we work in numbers first gives your AI search response a starting point.
The six check items and the AI searches covered follow the service structure. The number of prompts and the timeline are examples. AI answers vary by model and over time.Six checks for visibility in AI search
AI crawler access
We check that AI crawlers such as GPTBot and PerplexityBot are not blocked in robots.txt.
Server-side rendering
We make sure important content is visible to crawlers even without JavaScript rendering, using SSR.
Paywall and login exposure
We check that the key content AI should cite is not locked behind a login or paywall.
Schema markup
We apply structured data to FAQs, product information and more to help AI interpret it clearly.
Clear content structure
We organize content in question-and-answer form with clear headings and concise sentences so people and AI both understand it easily.
Measuring AI citation frequency
We build a monitoring system that tracks how often your brand is mentioned across a variety of prompts.
From diagnosis to monitoring, four steps
Setting what to check at each step makes it clear what you are fixing.
Diagnosis
We check brand mentions and competitor citations in AI answers using representative prompts.
Technical check
We check crawler access settings, rendering and exposure behind logins and paywalls.
Structure and schema improvements
We organize content structure and apply schema to FAQs and product information.
Citation frequency monitoring
We regularly measure mention frequency by prompt and use it as the basis for improvement.
What Brand Visibility brings
Frequently asked questions
How is AI search visibility different from SEO?
SEO deals with ranking in search results, while AI search readiness organizes structure and access so AI understands your content and cites it in answers. You can reuse existing SEO content, so the two are often done together.
Can you guarantee we will be cited in AI answers?
No. AI answers vary by model and over time, so citation is not guaranteed. We improve the technical and content factors that raise the chance of being cited and measure the frequency.
How long does adoption take?
It depends on site size and the scope of checks, but we see about 3–5 weeks through diagnosis and the first improvement plan as an example.
Can we get our current state checked before adopting?
Yes. We first diagnose your brand visibility and technical issues with representative prompts and propose improvement priorities.
First, check how visible our brand is in AI search.
Tell us your site address and the main keywords you want to check, and within 24 hours we will outline the diagnostic scope and how we would proceed.


















