Must-Do Current Status Diagnosis Checklist Before Starting LLMO [December 2025 Edition]

Author: LLMO Researcher & AI Engineer Eina

 

“I want to start LLMO, but how is my site currently perceived by AI?”

In my work supporting companies with LLMO, I get asked this question repeatedly. And to be honest, many companies rush into content creation and site renovations without clarifying this point.

To conclude, if you haven’t conducted a “current status diagnosis” before implementing LLMO measures, you won’t be able to gauge the return on investment. First, it’s essential to cover the following three points with a simple checklist as a starting point.

• How much is your company being "mentioned" in AI searches?
• In what context (strengths, achievements, target audience) is it being introduced?
• Is your existing SEO content (articles, landing pages, FAQs) structured in a way that is easy for AI to read?

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What You Can Learn from This Article

• An overview of the “current status diagnosis” items to review before starting LLMO
• Practical check methods using ChatGPT, Claude, Gemini, Perplexity, SearchGPT, and Google AI Overviews
• Risks and opportunities based on latest research and case studies such as CTR decline due to AI Overviews (seoClarity)
• How to prioritize where to start based on the diagnosis results methodically
• Finally, an image of how to utilize Umoren.ai to automate and continuously monitor these tasks

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Why Skipping the “Current Status Diagnosis” Leads to Losing in AI Searches?

The Era Where “The Battle is Decided Before the Click” with AI Overviews and AI Search

Google's AI Overviews and various AI searches are structured to generate answers at the top of search results and display only a few cited sites.

Research by Seobility has reported that when AI Overviews are displayed, the CTR of the first page drops by nearly 30-40%. (seobility)

Honestly, when I first saw this number, I thought, “No way.” But as I looked at client data, it became clear that queries with AI Overviews were indeed seeing a significant drop in traditional CTR.

In other words,

The traditional SEO assumption of “as long as you rank first, you’re safe” is collapsing, and whether you are cited by AI is directly linked to sales.

This state is gradually changing.

The Impact of “40% Increased Visibility” Shown by GEO / AEO Research

Research from an American university on Generative Engine Optimization (GEO) in generative AI searches reported that optimization can improve visibility in AI responses by up to 40%. (arXiv)

Additionally, guides on Answer Engine Optimization (AEO) and AI engine optimization emphasize that

• FAQ & Q&A structures
• Clear entity information
• JSON-LD schema

are keys to increasing citation rates from AI. (Search Engine Journal)

Personally, I feel that this “40%” figure is quite realistic. In fact, I have seen several clients where simply organizing structured data and FAQs visibly increased AI mentions.

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LLMO Current Status Diagnosis Checklist (Overall Summary)

Now, let’s get to the main topic.

Here’s a checklist to grasp your company’s current status in about 30-60 minutes.

✅ Recommended Usage

• Have the person in charge run it once and score it
• Then share it with management and the marketing team to decide “where to invest”
• Re-diagnose every 3 to 6 months with the same items, comparing LLMO results in a "before and after" manner

This checklist is actually a collection of items that I personally confirm on-site as “must-checks!”

💡 With Umoren.ai, you can automatically diagnose all items on this checklist

While this checklist can be done manually, using Umoren.ai allows you to automate all these diagnostic items.

By simply entering a keyword or page URL:

• Automatically generate 10 practical prompts - covering questions users are likely to search for
• Automatically submit questions to all major AIs - ChatGPT, Claude, Gemini, Perplexity, etc.
• Compare your company and competitors in brand rankings - visualize display ratios, citation counts, and average rankings
• Detailed analysis by AI and prompt - understand which AI mentions your brand and in what context

From analyzing AI mention status, site structure, schema implementation checks, to competitive comparisons, a comprehensive diagnostic report can be generated with one click. Moreover, since it can be continuously monitored, the effects of improvements can be tracked in real-time.

Diagnosis Checklist Table (Copy and Use as Is)

Category	Check Item	Specific Confirmation Method	Recommended Frequency	Notes
AI Mention Status	Have you asked AI about your brand name + major queries?	Throw prompts like “Where are the stores with a rich selection of sportswear in Tokyo?” to ChatGPT / Claude / Gemini / Perplexity / SearchGPT, and check if your company name comes up	Once a month	Example: Minato Ward Used Apartment × Your Company Name
Context Evaluation	Are the strengths and achievements being introduced correctly?	Extract how AI describes your company and check if “achievements”, “target audience”, and “price range” align with reality	Once a month	Correct any misinformation
Competitive Comparison	Which queries are competitors being recommended for by AI?	List competitor names and competitor sites in the responses to the same questions and record “what type of content” is being cited	Quarterly	Competitor A: Column / Competitor B: Case LP, etc.
Site Structure	Is the FAQ & Q&A structure sufficient?	Check if there are 10-20 questions that users are likely to ask organized as Q&A on purchase/sale/inquiry pages	Every six months	Prioritize if none exist
Schema	Is there an implementation of schemas like Organization / LocalBusiness / Service?	Check if schemas for organization, service, property, articles, etc., are implemented using SEO tools or structured data tests	Every six months	High priority if not implemented
LLM Hints	Are there AI hint files like llms.txt?	Check if llms.txt or an AI sitemap is placed at the root, organizing the URLs you want AI to read	Every six months	Ensure important pages are included
Trustworthiness	Are there sufficient signals indicating E-E-A-T?	Check if elements that support trust such as supervisor information, qualifications, company overview, achievements, reviews, and awards are clearly stated on major pages	Every six months	Strengthen profiles / achievement LPs
Measurement	Are you measuring changes in leads and mentions from AI?	Track and record the number of users who answered “I learned through AI” and the number of mentions on AI, even in a simplified manner	Quarterly	Add to survey items

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Step 1 - Understand the “Mention Status” in AI Searches

Check from Common Question Patterns (Q-based)

First, write down 10-20 natural language questions that users are likely to type.

Example (for a real estate company)

• “Which company is recommended for buying used apartments in Minato Ward?”
• “If I’m looking for a used apartment in Minato Ward for around 80 million yen, which area should I target?”
• “Which real estate company is strong in investment properties in the ◯◯ area?”

Throw these directly to ChatGPT, Claude, Gemini, Perplexity, and SearchGPT, and check:

• If your company is mentioned by name
• What sentence describes it (strengths, target audience, price range, etc.)

Copy & save the results.

It’s recommended to take screenshots here and paste them into internal sharing materials. This allows for a clear labeling of the current state of “how AI is describing us” to be shared at a glance.

By the way, the reactions of clients doing this for the first time are usually either “Huh, we’re not showing up at all…” or “Wait, it’s all competitors…” (laughs). But just realizing that is a significant step forward.

💡 With Umoren.ai, you can automate this task

While manually asking each AI is fine for the first time, it becomes quite cumbersome for continuous monitoring. Umoren.ai automatically generates 10 prompts that users are likely to search for by simply entering a keyword.

It then automatically submits those prompts to major AIs (ChatGPT, Claude, Gemini, Perplexity, etc.) and visualizes the mention status of your company and competitors across different AIs in a list format. Furthermore, you can also check the details of AI responses for each prompt, allowing you to delve into “in what context is your company being introduced” and “how competitors are being described.”

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Step 2 - Diagnose the “Extractability” of Site Structure and Schema

Is the text “easy to extract” for AI?

Official guides from Microsoft and various AI searches repeatedly emphasize that structured information is more likely to be adopted in AI responses than “long, single-block text.” (Microsoft Advertising)

Check if your content has the following structure:

• On purchase/sale/valuation pages, FAQs are arranged in the form of questions → answers
• Each section has headings (H2 to H4) organized
• Important numbers and points are summarized in bullet points, tables, or boxes
• Each paragraph is kept to about 3-4 lines, focusing on one message per sentence

I often say, “AI is not a novelist.” Content that is structured and easy to understand at a glance is far more likely to be picked up than lengthy paragraphs.

Minimum Structured Data (Schema) to Include

Here are some examples of high-priority schemas from an LLMO perspective:

• Top / Company Information: Organization / WebSite / LocalBusiness
• Service / Navigation Pages: Service / Offer / Product
• Property Details: Product / Offer / Place / Accommodation
• Blogs / Helpful Articles: Article / BlogPosting + FAQPage

Think of schema as **“index cards for AI.”** Just by implementing them correctly, it becomes less likely for AI to misunderstand your company’s strengths.

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Step 3 - Organize Entity, Expertise, and Trustworthiness (E-E-A-T)

Clearly inform AI “what field you are an expert in”

Latest AEO guides and various case studies indicate that clarifying entities (companies, services, individuals) and presenting expertise and authority are keys to increasing AI citations. (Search Engine Journal)

Check if the following are clearly stated on your site:

• Company/Brand’s “in a nutshell”
  • Example: “A real estate brokerage specializing in used apartments in Minato Ward”
• Profiles of responsible persons and supervisors
  • Qualifications, years of experience, areas of responsibility, etc.
• Achievements, awards, media coverage
• Customer feedback, reviews, case studies

These are not only for users but also serve as structured information to help AI understand “this brand is knowledgeable in this field.”

Personally, I find that “supervisor information” has the most impact. When AI determines that an expert is writing, the citation rate clearly changes.

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Step 4 - Identify “Visibility on AI” Compared to Competitors

Compare Your Company vs Competitors from an "AI Perspective"

Creating a comparison table like the one below makes it easy to see where to strengthen.

Item	Your Company	Competitor A	Competitor B
AI mention status for major queries	Example: Minato Ward Used Apartment → Mentioned / Not Mentioned	Mentioned	Not Mentioned
Main page types cited by AI	Property listings / Company overview / Blog, etc.	Blog / FAQ	Case LP
Strengths described by AI	“Established,” “Strong in Minato Ward,” etc.	“Strong for investment”	“Strong in renovations”
Misinformation / Old Information	Example: Outdated store addresses, etc.	None	None
LLM-related measures	No llms.txt / Few FAQs, etc.	Rich FAQs / Schema implementation	Unknown

What becomes visible here is **a "new competitive axis" of “not the ranking of Google search results, but which pages AI is referencing.”**

In the B2B field, there have been reports of cases where AI leads increased 2-4 times due to efforts in AI search optimization (GEO, AEO). (broworks.net)

In fact, when you conduct competitive analysis, it becomes interesting to see “why that company is being recommended by AI!”

💡 With Umoren.ai, you can also visualize competitive comparisons automatically

When there are multiple competitors, manually tracking the mention status of all companies is not realistic. Umoren.ai allows you to simultaneously track the AI exposure status of not only your company but also competitors.

With the brand ranking feature, you can compare the display ratios, citation counts, and average rankings of each brand. For example, for the keyword “sportswear,” Nike may have 42% (25 mentions), Uniqlo 33% (20 mentions), and Asics 30% (18 mentions), making it clear which competitors are being favored by AI.

Furthermore, for each prompt, you can check which AI (ChatGPT, Gemini, Claude, etc.) is mentioning which brand and in what context. This allows you to see AI-specific trends and countermeasures, such as “Nike is strong in Gemini, but competitor A is mentioned