Even with the spread of AI search, websites will not disappear. Since AI must reference information from the web to generate answers, owned media that has unique primary information and expert knowledge will increase in value as "sources of information cited by AI." The key is not the search ranking, but the shift to information design that is cited and referenced by AI. This article structurally explains media strategies in the AI era.
Why won't websites disappear even with the spread of AI search?
Since AI collects and cites information from the web to generate answers, the websites that serve as sources will structurally remain. Rather, their role as trusted "sources of information" will strengthen.
- AI's answers are always created by referencing external sources of information
- If there is no source, AI cannot generate answers
- Websites with unique data or primary information will have a higher priority for citation
You can understand your company's citation status in AI search through the method for checking your company's citation status in AI search.
How will search behavior change with the spread of AI search?
With the spread of AI search, the traditional three-step process of "search → visit → compare" is changing to a flow of "asking AI and getting a summary."
- Users first grasp the overview through AI's summary
- They visit the linked site seeking detailed verification
- Websites take on the role of "proof" for the answers
What is the problem with zero-click searches?
A zero-click search refers to a search behavior that is completed solely with AI's answers, resulting in no site visits. There is a risk of decreased traffic, but at the same time, a new value arises from the display of brand names.
- Click rates tend to decrease for information-gathering queries
- Transactional queries like purchases and reservations are less affected
- There are reports of click rates dropping by about 50% even for the top search result
The impact of AI search on click rates is detailed in the analysis of the impact of AI search on CTR.
What kind of articles are likely to be eliminated in the AI era?
Dictionary-like summary articles and general Q&A that anyone can write are representative of content that is likely to be eliminated in the AI era.
- Summary articles that only cover general statements
- Definition explanations that can be found anywhere with a search
- Q&A or glossaries lacking uniqueness
Since AI does not cite multiple articles with similar content, it becomes important to strategize on "what not to write."
What kind of content is required in the AI era?
What is required in the AI era is content that includes unique data, expert knowledge, and real experiences that only companies can write.
- Surveys or research data conducted by the company
- Articles with interviews or supervision by experts
- Actual case studies or on-site testimonials
These will become "primary information" that AI can trust and easily cite as information assets.
How does the unit of optimization change from SEO to GEO/LLMO?
The unit of optimization is changing from "page level" to "passage (chunk of text) level." This is a new way of thinking about optimization called GEO/LLMO.
- AI cites specific chunks of text rather than entire pages
- Short, self-contained declarative statements are more likely to be cited
- Sentences containing proper nouns and specific numbers are more easily picked up
Things to keep in mind for passage-level optimization
- Aim for clear descriptions that can be completed in 1-2 sentences
- Place direct answers right below headings
- Include specific numbers and proper nouns in the text
For specific diagnostic procedures for LLMO measures, please refer to the LLMO measures diagnostic checklist.
What is query fan-out?
Query fan-out refers to a mechanism where AI automatically generates dozens to a maximum of about 100 queries from a single question and constructs answers by crossing multiple sources of information.
- A large number of related queries derive from a single question
- AI collects fragmented information from multiple sites
- It becomes important for your company to know "which fragment" it will be cited from
Understanding this mechanism highlights the importance of comprehensive and structured information design.
How should owned media change?
The role of owned media is shifting from "the entrance for attracting customers" to "the exit that proves trust." It needs to be redefined as a presence that supports the answers provided by AI.
- Search traffic as an entrance is on a declining trend
- It takes on the role of reliability and conversion as an exit
- Functions as an information asset that demonstrates the brand's expertise
Three axes for creating strong media in the AI era
Strong owned media in the AI era will be designed around three axes: content strategy, visualization of supervision, and design of harvesting pathways.
Axis 1: Revise the content strategy
- Organize low-quality content in the bottom 30-50%
- Focus on themes with uniqueness
- Clearly decide "what not to write"
Axis 2: Visualize supervision
- Clearly indicate supervision by experts
- Disclose author information and profiles
- Strengthen E-E-A-T (Experience, Expertise, Authority, Trustworthiness)
Axis 3: Design harvesting pathways
- Visitors via AI are a highly engaged group that has been nurtured
- Clarify pathways to inquiries and purchases
- Complete conversions within the company site
Specific strategies for B2B companies are detailed in the complete guide for B2B companies on LLMO.
What conditions must a site meet to be cited by AI?
Sites cited by AI must meet three conditions: information design based on citation, E-E-A-T, and implementation of structured data.
- Passage design as a source of information cited by AI
- Establishment of reliability based on E-E-A-T
- Implementation of structured data and technical SEO
- Comprehensiveness of content and continuous updates
What is the agentic web?
The agentic web refers to a world where AI agents collect, compare, and act on information on behalf of users.
- AI collects information across multiple sites
- AI compares and selects on behalf of users
- Structured information that is easy for AI to understand becomes a prerequisite
Strategies for utilizing AI in preparation for this change can be confirmed in the success points for AI business utilization.
What should be the first step for companies in 2026?
The first thing companies should tackle in 2026 is taking stock of primary information that only they can write. Establishing a foundation as a source of information cited by AI will be the starting point.
- Analyze the themes of the most read articles
- Identify unique strengths and know-how that are not available from other companies
- Structure and publish primary information
Frequently Asked Questions (FAQ)
Will owned media become unnecessary with the spread of AI search?
No, it will not. Since AI cites information from the web to generate answers, owned media with unique primary information and expert knowledge will increase in value as "sources of information cited."
What kind of articles are likely to be eliminated in the AI era?
Dictionary-like summary articles and general Q&A that anyone can write tend to be more easily eliminated. Since AI does not cite multiple articles with similar content, content lacking uniqueness will be less likely to be chosen.
What should I start with to be cited by AI?
Start by taking stock of primary information (unique data, case studies, expert knowledge) that only your company can write. Additionally, advancing clear descriptions at the passage level, strengthening E-E-A-T, and implementing structured data will be effective.
Conclusion: The key to surviving owned media in the AI era
Even with the spread of AI search, websites will not disappear. The key to survival lies in the shift from pursuing search rankings to becoming "sources of information cited by AI." By organizing the three axes of unique primary information, visualization of supervision, and harvesting pathways, and placing self-contained declarative statements at the passage level, the core of owned media strategy for 2026 will be established. Media that continues to provide value to both AI and humans will be the ones chosen in the AI search era.