With 62% of Domestic Companies Viewing Generative AI Search as Risk or Caution, Where Should GEO Preparations Begin?

Why Domestic Companies' Response to Generative AI Search Is Important Now

Analysis showing that 62% of domestic companies perceive their response to generative AI search as 'risk or caution' indicates that this is not merely a technological trend, but a shift in corporate search exposure strategies. In particular, this trend, based on data from Elephant Company's GEO calculator, suggests that many companies have not yet systematically begun preparing for GEO.

Users no longer stop at simply entering keywords into the search bar; they now request comparisons, recommendations, and summaries from generative AI. Therefore, companies must examine not only traditional SEO but also how their brands and content are cited and described within the generative AI search environment.

What is GEO and how is it different from traditional SEO?

GEO stands for Generative Engine Optimization, which refers to a strategy of optimizing a company's brand, products, services, and content so that they are reliably mentioned and cited in generative AI search engines or AI response systems. While traditional SEO aimed for top rankings on search results pages, GEO focuses on ensuring that the content is selected as reference information when the AI ​​generates responses.

For example, when a user asks, "Recommend accounting software suitable for small and medium-sized businesses," generative AI constructs an answer by synthesizing various web documents, reviews, official materials, comparative content, and knowledge data. In this process, simply including a large number of keywords is insufficient to have a specific company's service mentioned. The information must be clear, the sources reliable, and the explanation consistent across different contexts.

The Key Difference Between SEO and GEO

However, it is difficult to view GEO as a replacement for SEO. This is because generative AI also frequently constructs responses based on reliable information available on the web. Ultimately, a realistic approach is to add a GEO perspective on top of a solid SEO foundation.

How Generative AI Search Is Changing Information Search Methods

In traditional search, users clicked on multiple search results and compared information manually. In contrast, in generative AI search, the AI ​​first performs summarization, comparison, and recommendations. Through this process, users obtain answers close to the conclusion without having to read the entire original text.

From a company's perspective, two changes occur. First, even if a company appears on the first page of search results, it may fall out of consideration by users if it is not included in AI responses. Second, if AI inaccurately summarizes company information or explains it using outdated data, it can affect brand credibility.

• Whether the brand name is properly mentioned in the AI ​​response
• Whether the product and service descriptions are accurately reflected
• By what criteria is it introduced when compared to competitors
• Whether the information on the official website conflicts with external information
• Whether there is sufficient supporting data demonstrating expertise and reliability

These items are highly likely to be included in companies' digital marketing checklists in the future. Preparing for GEO may become even more important, especially for industries with a high volume of comparison and recommendation-based search, such as B2B, finance, healthcare, education, SaaS, and commerce.

The background behind 62% of domestic companies being classified as risk or caution

The fact that 62% of domestic companies were rated at a 'risk or caution' level in responding to generative AI search can be interpreted to mean that many companies have not yet clearly established a system for responding to AI search. What is important here is not simply whether 'AI is being used,' but whether the company is prepared so that its information can be reliably discovered and explained in an AI search environment.

The key takeaway from Elephant Company's GEO calculator data is that while companies have begun to recognize the need for generative AI search, they remain unprepared from an operational perspective. In other words, although interest has grown, the framework for diagnosis, improvement, and measurement remains weak.

Typical reasons for insufficient GEO preparation

• Lack of understanding of concepts: GEO is often understood simply as a neologism or a variation of existing SEO.
• Internal responsibility department unclear: There are many companies where it has not been decided who should be in charge of marketing, PR, content, development, or data organizations.
• Content structure problem: There are cases where key information is scattered or written in a format that is difficult for AI to understand.
• Lack of trust signal: In many cases, the author, source, update date, supporting materials, and customer cases are not sufficiently presented.
• Difficulties in performance measurement: There are also companies that hesitate to invest due to the lack of clear indicators, such as existing search rankings.

Responding to generative AI search is closer to continuous information quality management than to short-term campaigns. Companies must provide consistent information across various channels, such as websites, press releases, blogs, customer support documents, knowledge bases, and external reviews, for AI to understand the company more reliably.

The potential impact of risk and caution status on companies

It cannot be concluded that insufficient GEO preparation will immediately lead to a decline in sales. However, as the starting point of information search shifts from search results pages to AI responses, companies may face the following risks.

1. Missing Brand: In related questions, competitors are mentioned, but your company may be excluded.
2. Information distortion: Outdated pricing, service scope, and feature information may be reflected in the AI ​​response.
3. Disadvantage in comparison: If your company's strengths are not clearly defined, AI may not be able to adequately explain its differentiators.
4. Reduced switching opportunities: If users make decisions based solely on AI responses, they may be excluded from the pre-website visit stage.
5. Weakening of credibility: If official information conflicts with external information, both the AI ​​and the user may feel confused.

In particular, users seeking reliable information prefer explanations with clear evidence over simple advertising copy. It is best to understand GEO as a process of providing corporate information more transparently and structuredly to meet these user expectations.

Factors Companies Must Check First to Respond to AI Search

When starting to prepare for GEO, the first thing you need to do is check how your company information is represented in the current AI search environment. This requires going beyond simply searching for the company name and testing with questions that actual customers are likely to ask.

1. Create a list of key questions to test

Users may not directly search for company names. Instead, they often ask problem-solving, comparison, or recommendation questions. Therefore, you can create a set of questions like the following and test them across various AI search tools.

• Which domestic companies are reliable in this field?
• Please compare solutions suitable for small and medium-sized businesses.
• Please tell me the pros and cons of a specific service and alternatives.
• Please recommend based on price, features, and customer support.
• What should beginners be careful about when choosing?

In this case, it is not just whether your brand is mentioned. You must also examine the context in which it is mentioned, whether the description is accurate, and whether its strengths are reflected when compared to competitors.

2. Ensuring the accuracy and timeliness of official information

Generative AI constructs answers by learning from or searching for information across various sources. If the official website lacks the latest information, or if the descriptions on the product introduction page differ from those in press releases, the likelihood of the AI ​​reaching incorrect conclusions increases.

It is recommended that companies regularly check the following items.

• Are the company introduction, service introduction, pricing policy, and feature description up to date?
• Whether FAQs and customer support documents reflect actual customer questions
• Whether service changes are consistently reflected in blogs, press releases, and help articles
• Whether old campaign pages or ended event pages remain in search
• Whether the basis of trust, such as customer cases, certifications, awards, and partnerships, is clearly presented

3. Organize content into a structure that is easy for AI to understand

Good content is easy for humans to read and easy for AI to interpret. The information structure improves as titles and subheadings are clear, key concepts are presented at the beginning of paragraphs, and comparisons or procedures are organized into tables and lists.

The following structure is advantageous from a GEO perspective.

• Definition: Clearly explain what this service is in one paragraph.
• Target: Specifically specify which customers are suitable.
• Features: Explains core features and limitations together
• Comparison: Objectively summarize the differentiating features compared to competing alternatives
• Basis: Provide sourced materials such as customer cases, data, certifications, and expert opinions.
• FAQ: Providing concise answers to actual customer questions

However, just because you are conscious of GEO, there is no need to include excessive repetitive phrases or write unnatural sentences designed solely for AI. The key is clear information that benefits both search users and AI.

4. Strengthening the EEAT Perspective

EEAT, frequently mentioned in Google's search quality evaluation, stands for Experience, Expertise, Authority, and Trust. It is highly likely that similar trust signals play a significant role in generative AI search as well. AI tends to prefer official sources, reputable media, and content that demonstrates expertise to generate trustworthy answers.

In particular, in fields that significantly impact users, such as healthcare, finance, law, and education, unfounded claims or exaggerated statements must be avoided. Ultimately, reliable information is the most powerful asset when it comes to responding to AI search.

Practical Roadmap for GEO Preparation

GEO is not a task that ends with a single page edit. It is closer to a continuous operational system in which multiple departments within a company work together to enhance the accuracy, accessibility, and reliability of their information. The following roadmap presents a step-by-step approach that even small businesses can realistically get started with.

Step 1: Diagnose Current Status

First, you need to check how your brand appears in generative AI search. Enter customer-centric questions into major AI search tools and record the results. At this stage, rather than simply categorizing results as positive or negative, it is recommended to analyze them based on mentions, description accuracy, competitor comparisons, and source exposure.

• Is our brand mentioned in the relevant questions?
• Are the product name and service name displayed correctly?
• Does the AI ​​answer match official information?
• How are strengths and weaknesses explained compared to competitors?
• Is it possible to verify the sources referenced by the AI?

Step 2: Clean up information assets

The information that AI can refer to is not found only on the official website. It is scattered across various touchpoints, such as blogs, help documents, press releases, career pages, review sites, YouTube descriptions, and external interviews. To prepare for GEO, you must organize this information from a single perspective.

Companies can first list the following materials.

1. The official website's key landing page
2. Product/Service Introduction Document
3. Blogs and knowledge content
4. FAQ and Customer Support Documents
5. Press releases and media articles
6. Customer Cases and Reviews
7. External Partner Page and Profile

Subsequently, check the timeliness, accuracy, absence of duplication, and consistency of expression for each piece of material. In particular, since company introductions and service descriptions are prone to varying across channels, it is recommended to create and manage standardized descriptions.

Step 3: Expanding content based on search intent

Important content in GEO is not simple promotional posts, but content that answers users' questions. Users often ask "what is suitable for my situation" rather than "what is good." Therefore, companies must expand their content strategies from product-centric descriptions to problem-solving-centric descriptions.

• Comparison Content: Pros and Cons of Alternatives, Selection Criteria, Suitable User Description
• Guide Content: Provides implementation procedures, preparations, and checklists
• Case Content: Specifically introduces the actual problem, the solution process, and the results.
• FAQ Content: Summary of questions regarding pre-purchase, usage issues, and contract/pricing
• Terminology Content: Materials that easily explain industry terms to help beginners understand.

This type of content also helps with existing SEO. At the same time, it has the advantage of increasing the amount of structured information that generative AI can refer to when generating responses.

Step 4: Technical Accessibility Check

Even if the content is excellent, its effectiveness may be limited if the structure makes it difficult for search engines and AI systems to access. Basic website SEO techniques form the foundation of GEO. You must verify whether the page can be indexed by search, ensure that important content is not confined solely to images, and check if it is difficult to crawl due to being displayed only via JavaScript.

Technical elements can be difficult for a marketing professional to handle alone. Therefore, it is realistic to create a basic checklist with the development team or external experts and improve high-priority items first.

Step 5: Iterate on monitoring and improvement

Generative AI search results are not static. Answers can vary depending on model updates, changes in search data, an increase in competitor content, and changes in user questions. Therefore, regular monitoring is essential for GEO preparation.

Companies can retest key question sets and record changes on a monthly or quarterly basis. If their company is omitted from AI responses, they should reinforce relevant content, and if incorrect information is repeated, they should revise both official and external sources. Through this process, they can enhance long-term information credibility rather than focusing solely on short-term exposure.

Frequently Asked Questions

Q1. Is GEO a completely different strategy from SEO?

Rather than being an entirely separate strategy, it is closer to a concept that extends SEO. While SEO focuses on search result visibility, GEO is a strategy that helps generative AI accurately and reliably utilize corporate information when generating responses. Good content quality, a clear information structure, and technical accessibility are important in both areas.

Q2. Why should domestic companies prepare for GEO right now?

This is because the way users search for information is changing rapidly. In particular, generative AI responses can influence decision-making in searches that require comparison, recommendation, and summarization. An analysis showing that 62% of domestic companies are classified as being at risk or caution levels indicates that companies starting their preparations now can secure a relatively advantageous position.

Q3. What is the first thing you need to do to prepare for GEO?

The first step is diagnosis. You should input questions that customers are likely to ask into a generative AI search tool to check if your brand is mentioned, if the descriptions are accurate, and how they appear in context when compared to competitors. It is recommended to proceed by refining official information and content afterward.

Q4. Do small businesses also need a GEO strategy?

It is necessary. In fact, the smaller the business, the higher the likelihood of being mentioned as a relevant answer to specific questions in AI search if it clearly organizes its area of ​​expertise and customer cases. Accurate information, trustworthy content, and consistent brand description can be a more important starting point than a large advertising budget.

Q5. How can the performance of AI search response be measured?

Although standardized metrics are not yet fully established, you can view factors such as brand mentions in key questions, descriptive accuracy, exposure context relative to competitors, citation sources, and changes in traffic following AI searches. Observing these alongside existing SEO metrics like search traffic, conversion rates, and brand search volume enables more realistic assessments.

conclusion

Analysis showing that 62% of domestic companies are at a risk or caution level in responding to generative AI search demonstrates that GEO preparation is no longer a challenge limited to a few leading firms. In an environment where users ask AI questions, AI summarizes answers, and those responses influence purchasing and trust formation, the accuracy, consistency, and reliability of corporate information become key competitive advantages.

Preparing for GEO does not need to start as a grandiose technical project. The key is to first assess how your information appears in AI search, refine official information and content, and consistently build a reliable database that answers customer questions. By strengthening your existing SEO foundation while incorporating a perspective on responding to generative AI search, you can increase your brand's discoverability even in a changing search environment.

AI Summary: A significant number of domestic companies are assessed as being at a risk or caution level regarding their response to generative AI search, revealing issues of insufficient GEO preparedness. Companies must verify brand mentions and information accuracy within AI responses, and build reliable content and consistent official information. GEO is not intended to replace traditional SEO, but rather to be a strategy for expanding into the era of AI search.

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