How did you come across this article? I suspect you likely asked an AI, "How should I write content to be cited in an AI response?" and followed the source cited in the answer to find your way here. The very subject of this article, "GEO Content Strategy," is what shapes the journey that led you to this post. (It is perfectly fine if you came here via search or social media. This article is designed to answer that very question.)
Then, let me rephrase the question. When a customer asks the AI, “Recommend a solution that fits our situation,” will our brand appear in the answer?
To be cited in AI responses, three things are required: an AI-readable format, content that accurately answers customer questions, and brand signals accumulated outside the website. There is a set answer for how to format it. Ultimately, what determines success is what kind of question is answered with what kind of content.
Today, I have summarized the GEO content strategy and writing method that can be cited in AI responses in 7 steps.
What is the GEO content strategy cited by AI?
The GEO content strategy is a strategy that first defines the questions customers pose to the AI, structures the evidence, examples, comparisons, and implementation methods that answer those questions, and transforms them into content assets that the AI can understand and cite.
1-Minute Summary of How to Write GEO Content
- Defines the questions customers ask the AI.
- Verify the context of the question using search keywords and customer VoC.
- Gather official data, internal data, and case studies that answer the questions.
- Design the H2/H3 structure as a question-and-answer variation.
- Structure each paragraph with a single conclusion and supporting evidence.
- Check on-page elements such as schemas, FAQs, tables, images, and alt text.
- After publication, AI citation status, AI traffic, and conversion rate are measured together.
1. Clicks Fewer, But Inquiries Increased? The Paradox of Clicks
When the AI summary appears, the click-through rate is halved
The Pew Research Centeranalyzed 68,879 search behaviors of 900 U.S. adults in March 2025. The percentage of users who clicked links in searches where AI Overviews appeared was 8%. This is nearly half the 15% recorded when AI Overviews were absent. The click rate for source links displayed within the AI Overviews was a mere 1%, and one in four users finished their search after reading only the AI Overview.
From the user's perspective, this is a natural behavior, as they have already obtained the answer. The problem is that we marketers still measure performance solely by the number of clicks.
Clicks received through AI are 4.4 times more valuable
On the other hand, there is an interesting figure. a study published by Semrush in 2025, the value of visitors acquired through AI search was 4.4 times that of general search visitors. This is based on conversion rates. In March 2025, the conversion rate for AI acquisition was 38% lower than that of general channels, but in March 2026, it was actually 42% higher. This means the trend reversed in just one year.
The same applies to Elifunt's client data. The conversion rate for traffic from AI search was found to be 1.4 times higher on average, and up to 4.3 times higher at most. Why is that? It is because customers ask the AI, make comparisons, and only click after they are convinced. In a sense, they are customers who are already half-convinced.
Although the number of clicks has decreased, the value of a single click has increased. That is why the focus of performance is shifting from the number of clicks to 'citations'.
2. By what principle does AI select texts to quote?
AI does not recommend the entire book. It opens and displays the necessary pages.
AI search operates in three stages: identifying the context from the user's question, collecting and analyzing web documents that could answer the question, and citing the documents that served as the basis while generating an answer.
What you need to remember here is that AI finds answers on a paragraph-by-paragraph basis. It will only cite a text if there is a paragraph that matches the meaning of the user's question.
Therefore, text written in the language of marketing copy is excluded from quotations. Sentences like “a partner creating customer success together” sound impressive, but they do not answer any questions. You must create paragraphs that directly answer customers' questions using the language they actually use.
[Reference] Principles of AI Answer Generation
We have revealed everything in detail on the Elifunt YouTube channel, from the principles of AI response generation to content strategies, so please check it out!
“It’s ranked #1 in search, but it’s not being cited?” Yes, that can happen
The relationship between SEO rankings and AI citations is also changing. According to Ahrefs data, 76% of AI Overviews citations came from Google's top 10 pages in mid-2025, but this figure dropped to 38% by early 2026. AI uses paragraphs that accurately answer the question, even if they are ranked low, and skips over them even if they are ranked number one if they do not contain an answer.
That doesn't mean SEO is no longer needed at all. SEO is still the foundation. It just means you need to build another layer called 'citations' on top of it.
3. Basics First: Setting Up an AI-Readable Format
Write the conclusion first, and the heading like a book's table of contents
The correct answer is already present in the format that AI can read. It involves writing the conclusion at the top of the text first, establishing the framework with heading tags, and clearly adding the title, description, and slug.
AI grasps the logic of a text by following the heading structure. Heading tags serve the same function as a book's table of contents. If you write in a way that the argument flows seamlessly even just by reading the headings, the text becomes easy to read for both humans and AI.
Please Change Just This: Don't & Do
| ✅ Try changing it like this | ❌ If you write it like this, the AI will miss it |
|---|---|
| Write text as text, and explain the content in images using alt text | Convert text into an image and upload it |
| Comparison and listing information is structured into tables and lists | List information only in paragraph form |
| Write the conclusion at the top and attach the evidence at the end | Place the conclusion at the end of the text |
| Align the title, heading, and body text to answer a single question | The title and the body tell a different story |
Will it be cited if I just include schema markup?
Schema markup (structured data) must be viewed with balance. Ahrefs tracked 1,885 pages that added new schemas from August 2025 to March 2026, and found that AI citations did not increase significantly. However, the subjects of this study were pages that were already receiving a high number of citations. Bing confirmed in March 2025 that schemas help understand the content of its LLM, and the Google Search team also stated in April 2025 that structured data works favorably. Schemas are a device that helps AI read and understand content, not a device that guarantees citations.
However, Korea is at a stage preceding this debate.According to the results of the "GEO Roadmap 2026" survey by Elifunt, which analyzed 548 companies using a GEO calculator, 53.6% of all companies had not implemented a single schema. Furthermore, 62% were in the risk or caution category, where they are barely visible in AI search results. Korean companies must have the basics of website structuring in place.
Wait! What is schema markup?
If you are new to schema markup, please start by reading the article " So What Exactly Is Schema Markup? "
4. Types of content AI likes
Listicles, comparisons, and product pages account for half of the citations
"State of AEO 2026," which analyzed citation data from December 2025 to March 2026 by HubSpot , and a study by Wix AI Search Lab that analyzed over 1 million citations from 75,000 AI responses, reached the same conclusion. The content types most cited by AI were listicles (21.9%), articles (16.7%), and product pages (13.7%). Together, these three account for more than half of all citations. Comparison content ranked first in citation rate by single type on ChatGPT.
Why is that? It is due to the way AI generates answers. When a user asks, “What tool is right for our situation?”, the AI lists candidates, compares them, and provides an answer. Listicles and comparison content are essentially forms where the raw materials for that answer have been prepared in advance.
The center of gravity has shifted among the three content types (Traffic/Awareness – Conversion – Core Content)!
Elifunt divides content into three funnels according to purpose.
| category | purpose | Format example | Changes in the AI Era |
|---|---|---|---|
| Inflow/Awareness Type (What) | Provides information on general questions | Concept Explanation, Trend Summary, Checklist, FAQ | AI absorbs into summary, click reduction |
| Convertible (How) | It shows that we can solve the problem | Customer Cases, Usage Guides, Comparisons, Reports | Most frequently cited by AI as answer material ⭐ |
| Core type (Why) | Makes brands a trustworthy source of information | Proprietary research and data, founder's perspective, thinking leadership | The original source most trusted by AI ⭐ |
The performance formula of the SEO era was skewed toward inflow-based content. The approach involved writing informative articles using high-volume keywords and converting that traffic into conversions. However, this formula is shaking in the age of AI. Clicks have decreased as AI has absorbed general questions that inflow-based content used to answer into summaries, while conversion-oriented content—such as comparisons, case studies, and guides—has become the material most frequently used by AI when generating responses, as the data above demonstrates.
That does not mean you should abandon inflow-based content. Inflow content is still the first type of content AI looks up when answering general questions. However, the center of gravity for performance has shifted. It is time to restructure your content portfolio into a model where you build presence with inflow content, get selected with conversion content, and establish trust with core content.
The strongest citation asset is 'own data'
Even within core-oriented platforms, the power of proprietary data contentis growing. The research by HubSpot and Wix that I just cited is proof of this. Both companies published reports based on data collected using their own tools, and content and AI responses worldwide, including this very post, are citing those reports as sources. Since proprietary data is an original source found nowhere else, all discussions regarding the subject eventually return to that source.
Toss Ads is a good example in Korea. publishing ad campaign measurement data as insight reports, they created content that marketers grappling with campaign performance measurement simply cannot help but refer to. Elifunt’s publication of the "GEO Roadmap 2026,", follows the same strategy. Customer meeting records, campaign data, and survey results—the data lying dormant within a company is truly powerful raw material for content.
5. Every AI Engine Has Different Preferences: ChatGPT, Perplexity, AI Overviews
Although they are often broadly referred to as 'AI,' each engine cites different sources. Profound analyzed citation patterns by platformand found that ChatGPT cited Wikipedia the most, accounting for 47.9% of total sources, while Perplexity ranked Reddit first at 46.7%. Perplexity places great importance on recency, citing content published within the last 30 days 3.2 times more frequently. Google AI Overviews is based on the Google Search Index but has a high proportion of YouTube citations. Surprisingly, domains cited in common by ChatGPT and Perplexity accounted for only 11%.
| AI platform | Frequently cited sources | characteristic | Priority response |
|---|---|---|---|
| ChatGPT | Refined knowledge documents such as Wikipedia (47.9%) | Preference for authoritative definitions and explanations | Listing of wiki-style documents, reorganization of brand definition content |
| Perplexity | Reddit (46.7%), latest web documents | 3.2x citations for posts within 30 days | Community mention management, maintaining content up-to-date |
| Google AI Overviews | Google Index, YouTube | Link with existing SEO assets | On-page SEO, YouTube content |
Rather than trying to fix all engines at once, fixing 'only' the website is half the battle: signals outside the site are also important.
Brand mentions beat backlinks
The most noteworthy finding from the study looking beyond 2025 lies outside the website. Ahrefs analyzed 75,000 brands in August 2025to identify factors highly correlated with AI Overviews exposure. Ranked first was brand mentions on YouTube (correlation coefficient 0.737), followed by brand mentions across the web (0.664). Backlinks, a long-standing weapon of SEO, remained at 0.218. While correlation does not prove causation, the direction is clear: AI looks at brand mentions across the web world rather than the links themselves.
The commonality among the top 6% of high-performing companies in GEO lay in 'external channels'
Elifunt confirmed the same pattern in its own internal research. In the “GEO Roadmap 2026,” 6% of companies entered the excellent tier. Their commonality lay not in their websites, but in what lay outside of them. Four external signals—PR, social media, community, and the Knowledge Graph—all performed consistently well, at twice the overall average.
Wait! Why do people trust a brand the stronger the story comes from external channels?
To use a recruitment analogy, it is like this: On-site (website, company blog, etc.) is the cover letter, and off-site (external channels) is the reference check. No matter how excellent the cover letter is, if nothing comes out of the reference check, the recruiter cannot be convinced.
The same applies to AI. It cites with confidence only when the explanations we have defined ourselves are repeated in the same language across media, communities, and reviews. On-site is the condition that enables AI to read a brand, while off-site is the basis that allows AI to cite a brand.
7. So, how should I write it? 7 Steps to Content Creation
We define the questions customers pose to the AI, gather material to answer them, design an outline using a heading structure, and write the text with only one conclusion per paragraph. We verify facts and sources before distribution and periodically update the published articles.
Step 1. Start by defining the questions customers ask the AI
The starting point is a question. Search keyword data is used as the material to find that question. For example, if there are around 1,000 monthly searches each for 'B2B marketing' and 'SEO marketing,' customers are likely to ask the AI, "How should B2B companies handle SEO marketing?" We infer the question from the search data and plan content that answers it.
The better raw materials are actually within the company. Records of customer meetings, questions received by sales representatives on-site, and customer interviews—these are records that capture the customers' true language. The domestic AI community " After WorkAI"analyzed AI-related concerns shared by office workers and published them as content. This is a case where the voice of the customer itself became the content. First, check if you are asking questions to the engine, and then set your priorities.
Step 2. Gather writing material that answers the question
I gather writing material by pairing customer pain points with information on how to solve them. Official documents and briefings from government and public institutions, research data from authoritative organizations in the industry, and articles from specialized media provide excellent material. This is because AI places greater trust in texts that feature statistics and citations with clear sources.
Step 3. Design the outline with a heading structure
The outline of the text serves as the heading tag structure. If you design the structure so that H1 serves as the title and the main argument flows seamlessly even when reading only H2 and H3, the framework of the text becomes the table of contents that the AI reads. Checking that each paragraph flows logically during the outline stage prevents you from getting lost while writing the main body. The framework of this text you are currently reading was constructed in the same way.
Step 4. Include only one conclusion per paragraph
AI quotes paragraph by paragraph. Write a single conclusion supported by evidence so that each paragraph serves as a complete answer in itself. Incorporating EEAT (Experience, Expertise, Authority, Trust) into the content and adding a unique perspective distinct from competitors will increase the value of your citation. Associate your arguments with statistics, use quotations where authority is required, and do not forget to cite sources at the end.
Step 5. Verify the facts and sources
We double-check the figures and sources before publishing. Once incorrect figures are included in an AI response, it is difficult to correct them. We also verify whether the content aligns with the intended concept and answers the question originally defined.
Step 6. Check on-page elements and deploy
Perform a final check using the format checklist in Section 3. Verify the title, description, and slug, heading hierarchy, tables and lists, image alt text and captions, and FAQ elements before publishing.
Step 7. Periodically refresh your published posts
Publishing is not the end. Certain AI platforms, such as Perplexity, cite content within 30 days 3.2 times more frequently. (This may change slightly as the model is updated.) If your statistics become outdated, you will fall behind in citations. Update your figures quarterly and reflect new research in your text as it becomes available. Refreshing your existing content is just as important as writing new articles.
8. Performance examines the correlation between 'citations' and 'conversions'.
View answer share and citation context
Shift your measurement to a citation-centric approach as well. Define key questions for your category in advance and periodically check whether AI engines mention your brand when answering them, and in what context. Using GEO measurement tools allows you to track whether the AI cites your page as a source for its answers.
Track the quality of AI acquisition and conversion with GA4
In GA4, chatgpt.comand perplexity.ai as sources, you can view AI traffic and the landing pages. Here, we look at quality over quantity. Check if the conversion rate of AI traffic is higher than that of regular traffic. If the quality of leads is improving even if overall traffic decreases, the strategy is working correctly.
GEO Content Strategy, Still Have Questions? Frequently Asked Questions
Q. What is the difference between GEO and SEO?
SEO deals with exposure on search engine results pages, while GEO (Generative Engine Optimization) covers the entire process of enabling AI to discover, accurately understand, and cite our brand. SEO is the foundation, and GEO builds upon it. The two are not interchangeable.
Q. What is the difference between GEO content strategy and SEO content strategy?
If SEO content is “articles selected in search results,” GEO content is closer to “articles that can be selected as the basis for AI responses.”.
SEO content strategy involves designing keywords, search intent, rankings, and internal links to ensure they are easily discovered and clicked in search engine results. GEO content strategy goes a step further by designing direct answers to customer questions, sourced evidence, comparison criteria, brand entities, and external trust signals so that AI can cite them when generating responses.
GEO is not a replacement for SEO, but an expansion strategy that adds AI citation possibilities on top of the SEO foundation.
Q. Do I need to do schema markup?
It is better to do so. While schemas do not guarantee citations, both Bing and Google have confirmed that they help AI understand content. Since 53.6% of domestic companies have not implemented schemas at all, simply having the basics in place puts you more than halfway ahead.
Q. Does traffic really increase if cited in AI answers?
The number of clicks itself may decrease. However, the conversion rate of visitors who have gone through AI responses is higher. In a Semrush study, it was 4.4 times, and in Elifunt client data, it ranged from an average of 1.4 times to a maximum of 4.3 times. Even if the volume of traffic decreases, the quality improves.
Q. How do I start GEO marketing?
GEO marketing starts by checking how our brand is understood in AI responses, rather than simply operating another new channel. Define the questions customers ask the AI, and verify whether your current brand or page is cited in those questions.
Next, refine the website's core pages, content, and schema, and create content featuring comparisons, case studies, FAQs, and proprietary data. Simultaneously, you must build external credibility signals such as PR, community engagement, and reviews. Afterward, you can make improvements by monitoring AI response share, citation context, AI traffic, and conversion rates together.
Q. Is it too late to start GEO marketing now?
62% of domestic companies are still barely visible in AI search, and only 6% have entered the top tier. The top spot in AI search does not yet belong to anyone. The brands that prepare first now will claim that position.
Conclusion! The essence of content does not change even in the age of AI
Even as channels, engines, and citation algorithms change, there is something that remains constant: the fact that the brand providing the best answer to customer questions is ultimately chosen. The only difference is that the reader who reads that answer first has become AI.
If you want to try running GEO content, start by asking ChatGPT or Perplexity the questions your customers are likely to ask.
“What solution should we use to solve these problems in our industry?”
“How should B2B companies start GEO marketing?”
“Please recommend a service company suitable for our situation.”
If our brand does not appear in the answer, or if it does but the description is inaccurate, it is a sign that you need to redesign your GEO content strategy.
Elifunt designs SEO/GEO strategies, website structures, content portfolios, and AI-based traffic and conversion measurement for B2B companies. Rather than simply writing more content, we start with the questions customers ask the AI and connect them to citation-worthy evidence and conversion flows.
If you need a specific strategy regarding how your brand appears in AI responses, please contact Elifunt. We will work together to design a strategy that leverages your brand's expertise to become a growth asset in the era of AI search.
