Adobe Brand Visibility

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.

Adobe Brand Visibility solution cover image
Why it matters

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.

Challenge

We have content, but its structure is hard for AI to understand and cite

Challenge

We do not know whether AI crawlers are blocked in robots.txt

Challenge

Important content is hidden behind logins or paywalls

Challenge

We track only search ranking metrics and do not measure AI citation frequency

How we apply it

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.

  1. Check and adjust whether AI crawlers are allowed

  2. Make sure key content is server-side rendered (SSR)

  3. Apply FAQ and product schema markup

  4. Build a new measurement system based on AI citation frequency

Brand Visibility at a Glance

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.
Key checks from crawler access to measuring citation frequency6 items
Checks based on ChatGPT, Perplexity, Gemini and Google AI Mode4 AI searches
Representative prompts used to check whether your brand appears (example)About 20
Time through diagnosis and the first improvement plan (example)About 3–5 weeks
LLMO Checklist

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.

Project Flow

From diagnosis to monitoring, four steps

Setting what to check at each step makes it clear what you are fixing.

  1. Diagnosis

    We check brand mentions and competitor citations in AI answers using representative prompts.

  2. Technical check

    We check crawler access settings, rendering and exposure behind logins and paywalls.

  3. Structure and schema improvements

    We organize content structure and apply schema to FAQs and product information.

  4. Citation frequency monitoring

    We regularly measure mention frequency by prompt and use it as the basis for improvement.

Expected Impact

What Brand Visibility brings

Mentions and citations in AI answers vary by model and over time, so regular measurement is needed.
Manage how often your brand appears in AI answers as a new performance metricMore citations
Remove easy-to-miss technical flaws such as blocked AI crawlers and missing SSRSecured crawler access
Extend existing SEO content into AI search assets just by improving schema and structureReuse your SEO assets

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.