Hello, this is Yuk Chae-rim from Elifunt 😃
Shortly after joining the company, I received a mission from a team member. It was to read and summarize two global insight articles related to SEO and GEO every morning. Honestly, at first, I started with a light heart, thinking, "It's probably just organizing materials.".
However, the perspective on the current market was similar in SEO reports, B2B purchasing behavior studies, and AI traffic analysis. It was that people who used to search for information by typing keywords into a search bar are now asking AI questions in complete sentences
As I reviewed the materials from the past three months of research, the trends became much clearer to me. So today, I have summarized the insights I discovered during that time. regarding the 7 conditions that make AI learn and recommend our brand!
60% of all searches end without a click; AI moves beyond browsing to purchase decisions
Nowadays, rather than finding information themselves through search, customers consume complete answers organized and spoon-fed by AI. While traditional SEO strived for "appearance on the first page of search results," GEO now aims for our brand to be "cited" within the AI's responses.
| division | SEO (Search Engine Optimization) | GEO (Generative Engine Optimization) |
|---|---|---|
| target | Top ranking on page 1 of search results | Brand/content citation in AI's response |
| Key Strategy | Keyword optimization, backlink building | Entity definition, topic cluster, structured data |
| Key KPIs | Organic traffic, keyword ranking | Model Share, AI Citation Count |
| Content format | Blog posts matching search intent | Question-answer structure, inverted pyramid, FAQ, table |
These changes are already evident in concrete figures. According to one survey, 60% of all searches end without a click, marking the beginning of the zero-click era. This is because customers are making purchasing decisions through AI; in fact, the percentage of daily AI search users in the U.S. rose from 14% in February 2025 to 29.2% in August 2025.
Ask ChatGPT or Gemini right now, “What are the advantages of our company’s solution?” If the AI cannot answer properly, you might want to read this article to the end.
Try it right now. 7 Ways to Become a Brand Cited by AI
1. Try changing the content structure: AI chooses easy-to-find text over well-written text
It is said that AI prefers structures that allow for easy information extraction rather than emotional writing styles. Therefore, it is beneficial to organize content in a machine-friendly format so that Large-Scale Language Models (LLMs) can efficiently process information.
Rather than an essay format with a long introduction, an inverted pyramid structure of conclusion → evidence → detailed explanation is effective. The key is to place a clear answer immediately following the reader's question. In fact, there is research showing that applying the answer capsule technique increased AI citation rates by 40%. Including only one idea per paragraph and clarifying the hierarchy using heading tags H1→H2→H3 can also be helpful.
✅ Practical! Action Item:
Place a 3-line summary box at the top of your blog post, and actively utilize FAQs, lists, and table formats to create "gold mine" style content preferred by AI.
2. Viewing Performance Metrics Differently: Share of AI Responses Becomes Just as Important as Visitor Count
Is your website traffic not what it used to be? You don't need to worry too much. Now, a new perspective is needed: 'Share of Model,' which refers to how often and how your brand appears in AI responses
While the number of visitors coming in from simple informational searches may decrease, users who are drawn in when AI includes a brand in their responses are much more likely to have a higher purchase intent. In fact, data showing that the conversion rate of visitors acquired via AI is 4.4 times higher and the bounce rate is 27% lower compared to general searches. Now, the frequency of brand exposure in AI can become a more important performance indicator than traditional metrics such as average keyword ranking or total backlinks.
✅ Practical Action Item:
Select 50 to 100 key questions related to your service and test them once a week on AI tools like ChatGPT or Gemini. You can directly measure and record brand citation frequency and content, and manage model share.
If you would like more details, please refer to the content below.
👉 The Complete Guide to GEO Performance Measurement: AI Search Optimization Metrics for B2B Marketers
3. Introducing Your Brand to AI with Schema Markup: You Must Give It a Tag to Receive Recommendations
To enable AI to effectively recommend our brand, we must first clearly communicate what our brand is. This involves making the AI recognize our brand as a distinct 'entity.' Schema markup serves as a very useful tool for this process.
When AI reads text on the web, it can get confused as to whether it is a company name, a product name, or a common noun. By using schemas, which are structured data, it attaches a clear 'label' stating, "We are a company providing B2B marketing solutions." In particular, it is said that properly implementing the Organization schema—which is frequently used on corporate websites among the numerous schema types—increases the probability of acquiring a Knowledge Panel by 3.7 times.
✅ Practical Application!
Request the development team to apply JSON-LD style schema markup, or utilize tools that allow marketers to easily create schemas. Elifunt is developing 'Schema Buddy' for marketers; fill out the form below to be the first to receive launch updates! ⏰
Sign Up for Schema Buddy Notifications
If you would like more details, please refer to the content below.
👉 Structured data that makes the Google search engine choose
4. Consistently pursue expertise in a single subject: You must exist as a line, not a point
In the era of AI search, it is important to cover specific topics in depth rather than creating one-off content. AI assesses expertise and authority in a field by examining the context of the entire site. An effective strategy for this is 'Topic Clustering.'
Topic clustering is a method that creates multiple cluster contents covering detailed information around a central pillar content addressing a major topic, and tightly connects them via internal links. By systematically building in-depth content on a single topic in this way, AI recognizes the website as a reliable source of information in that field and increases the likelihood of citing it.
✅ Practical! Action Item:
Select a core topic where your brand wants to secure expertise, and create a content map by listing at least 10 related sub-questions. You must approach this from the perspective of conquering the entire topic, rather than just a single piece of writing.
5. Make a name for yourself outside the website: External mentions are also an important sign
To gain the trust of AI, content within our website alone may not be quite enough. an important factor to have our brand frequently mentioned on various external channels, such as news, communities, and industry forums.
In GEO, not only traditional SEO backlinks but also unlinked mentions are considered meaningful signals. This is because AI views the frequent appearance of a brand name in positive contexts as a measure of credibility. Data showing a 500% increase in the rate of press releases being cited in AI responses in the second half of 2025demonstrates the importance of external mentions.
✅ Practical Action Item:
Shorten your press release distribution cycle and proactively generate useful conversations about your brand in industry communities or on LinkedIn. Positive external mentions are a powerful signal of trust for the AI.
6. Content Still Just as Important as Sales: Customers Select Candidates Before Meeting
The purchasing journey of B2B customers has changed significantly. Nowadays, customers research a vast amount of information long before meeting with a sales representative, and AI is becoming a key source of information in this preliminary research process.
According to one report, B2B buyers have already completed about 73% of the decision-making process by the time they contact a sales representative. Customers ask AI, “Tell me the considerations for adopting the OOO solution,” and based on the response, they narrow down the field to an average of 3.8 candidates. If our brand is not mentioned at this early stage, we might not even get the chance to submit a proposal. 😱
✅ Practical Action Item:
Secure a list of frequently asked questions from customers and create detailed content to address them. It is important to provide high-quality information sources in advance so that the AI can refer to your content to answer customer questions.
7. Presenting a unique perspective of a trustworthy brand: AI cannot imitate philosophy
While information is becoming increasingly abundant, more important to voice our brand's unique perspective. One of the things AI cannot generate is a unique perspective and insights derived from firsthand experience.
AI can now adequately explain general definitions such as “What is CRM?” However, only we can tell experience-based stories, such as “the trial and error we went through while implementing CRM and the specific lessons learned in the process.” In fact, this is the reason why 94% of B2B marketers cite ‘trust’ as the key to success
If you are wondering specifically what kind of content to write, please check out Elifunt Blog. We share content containing the team members' unique insights, perspectives, and know-how.
✅ Practical Application! Action Items:
Do not use AI-generated drafts as is. You must go through a process of adding your own unique color and authenticity, such as through interviews with practitioners, project behind-the-scenes stories, and accounts of failures and successes.
Marketing in the AI era must be discovered by artificial intelligence and chosen by humans
If you have examined the seven conditions so far, you have likely noticed an important trend. Conditions 1 through 5 are thoroughly close to 'machine language' (structure, schema, entity, cluster), while conditions 6 and 7 are close to 'human language' (purchasing psychology, experience, perspective, trust).
If you want to do B2B marketing 'well' even in the AI era, I think these two things must be satisfied simultaneously.
💡 If you are machine-friendly but lack a perspective, you may be cited by AI, but you cannot move the buyer's heart.
💡 If you have an excellent perspective but lack structure, even good content will exist outside the AI's response.
Ultimately, the brands that make it onto the customer's narrow shortlist will be those that possess both an "AI-recommended structure" and a "viewpoint trusted by buyers." This is the new competitive formula for current B2B marketing, as revealed by the dozens, even hundreds, of research data points I have collected over the past three months. 👀
If AI doesn't know our brand? Now is the time to start
If you have checked all seven conditions, you might be thinking, "I get it, but where do I start?" Keeping up with SEO is already overwhelming, and you likely feel you lack both the time and manpower to take care of GEO as well.
That is why Elifunt exists! Elifunt is a reliable B2B partner that solves the concerns at this very point.
👌Elephants do this kind of work!
- We improve our website to ensure it is 'cited' through structures and strategies tailored to the AI search environment.
- We build websites that accumulate leads even in the AI era.
- We produce high-quality brand content that leads to results, ranging from corporate blogs and LinkedIn posts to eBooks.
- We design lead nurturing scenarios that create real conversions.
- Create a marketing dashboard to verify the performance generated by your content in precise numbers.
Elifunt will be with you from start to finish, so that you can make it onto our customers' shortlists even in the AI era.
