Company Background and Business Transition
Intimate Merger's Business Transition
Intimate Merger originally operated in the internet advertising field, selling data for targeted advertising. Using a service called DMP (Data Management Platform), the company collected and processed vast amounts of webpage browsing data from approximately 1 billion browsers monthly, utilizing it for ad delivery.
This ability to handle large volumes of data and its network connecting with media became the foundation for its subsequent LLMO service development.
LLM Development and Changes in User Behavior
In recent years, the development of AI, especially LLMs, has been remarkable, changing how users gather information. Instead of viewing top-ranking sites from traditional Google searches, users increasingly ask LLMs questions to collect information.
Due to this change, products and sites referenced by LLMs have become crucial elements leading to recognition and acquisition. To adapt to this shift, Intimate Merger launched the "LLMO ANALYZER" service.
LLMO ANALYZER's Competitive Advantage
The greatest strength of LLMO ANALYZER lies in applying the data collection and analysis capabilities cultivated by Intimate Merger in its DMP business specifically for LLMO.
Combined Data Analysis
Combined analysis of rich webpage browsing data and LLM reference data: Intimate Merger originally installed data collection tags on many websites and possesses vast browsing data.
In addition, LLMO ANALYZER collects a large amount of inflow path (referrer information) data from LLMs like ChatGPT and Gemini.
By combining these datasets, it's possible to analyze, based on data, what kind of pages and content structures are frequently cited by LLMs and lead to inflow.
Data-Driven Insights and Trend Tracking
By looking at data from many sites, we gain data-driven insights into the specific characteristics of content likely to be cited by LLMs, such as "FAQ-formatted content is easily cited," "tabular format is better than long text," and "explicitly stating the brand name increases recommendations."
Furthermore, as AI versions update rapidly, the trends in easily cited content also change. Intimate Merger monitors data monthly, tracks these trend changes, and incorporates them into proposals. This analysis is difficult with data from only a few company-owned sites.
External Media Analysis
Analysis of external media beyond own sites: Unlike traditional SEO, which focuses on internal measures for a company's own site, LLMs often reference information from external media such as job sites, comparison sites, and blog services (like Note).
Intimate Merger can conduct analysis and make proposals based not only on data from its own site's analysis tags but also on data including these external media.
This provides an "external measures" perspective for gaining recognition from LLMs, potentially involving different strategies than SEO.
Objective Evaluation System
Mechanism for objectively evaluating references from LLMs: Unlike SEO, where rankings are easily visible on Google Search, objectively understanding which content an LLM used as a basis for its response (citation/reference) can be challenging.
Intimate Merger believes its greatest weapon is having a system that objectively evaluates which content is frequently viewed and leads to references from LLMs, through the collection and analysis of large amounts of data.
LLMO ANALYZER Service Details
The LLMO ANALYZER service utilizes this data and expertise to provide general reports on content easily cited by LLMs, or installs tags on client sites for data collection and analysis, offering specific proposals on what content to create or improve to become more easily referenced by LLMs.
This enables companies to execute effective, data-driven LLMO strategies, rather than relying on intuition or experience.
Install dedicated tags on client sites to collect visitor data and inflow paths
Compare and analyze collected data with other company data to evaluate LLM reference status
Report specific improvement suggestions to increase references from LLMs
Implement suggestions and continuously measure and improve effectiveness
Comparison of SEO and LLMO
| Comparison Item | SEO (Search Engine Optimization) | LLMO (LLM Optimization) |
|---|---|---|
| Optimization Target | Search engines like Google | LLMs like ChatGPT, Gemini |
| Main Scope of Measures | Primarily internal measures on own site | Own site + External Media also important |
| Effect Measurement | Relatively clear via search rank, PVs, etc. | Difficult to grasp if referenced (*Visualized by LLMO Analyzer) |
| Update Frequency | Algorithm updates every few months to years | LLM updates are frequent (weekly to monthly) |
| Content Characteristics | Keyword measures, technical elements like meta tags | Information structuring, tabular format, FAQ format, etc. |
Actual Case Studies and Results
Intimate Merger itself has experienced the benefits of LLMO, receiving inquiries from users who asked Gemini about its own service (DMP), and having service comparison tables created on its owned media cited by LLMs. This direct experience with LLMO benefits informs its service provision.
Summary: Intimate Merger applies the vast data assets and analytical know-how accumulated from its DMP business to the LLMO field. Its ability to provide data-driven insights on content and site structures easily referenced by LLMs establishes its competitive advantage in the LLMO era.