Principle Co., Ltd. Officially Launches LLMO Service. Providing New Metrics for the AI Search Era Based on Ahrefs Brand Radar
Principle Co., Ltd., a major SEO consulting firm, officially launched its LLMO (Large Language Model Optimization) consulting service in December 2025. Based on Ahrefs Brand Radar, it offers new metrics for the AI search era, such as "number of mentions/citations from AI," to optimize clients' online presence.
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Principle Co., Ltd., a leading SEO consulting firm, officially launched its LLMO (Large Language Model Optimization) consulting service in December 2025 after implementing Ahrefs. We interviewed Mr. Daiki Abe, SEO Team Manager (left), Mr. Yuki Sasaki, Team Leader (center), and Ms. Karin Murata, Consultant (right), to hear about the process of adoption, specific usage methods, and their outlook on the AI search era.
As the change in search behavior due to generative AI, such as ChatGPT and Google's AI Overview, accelerates, the company has established a system to optimize clients' online presence by focusing on a new metric: "number of mentions/citations from AI," in addition to "search ranking." We will introduce the full scope of their LLMO support based on Ahrefs Brand Radar and specific use cases.
Click here for details of use cases
Click here for the full text of Principle Co., Ltd. x Ahrefs utilization
▪️ Background of official launch of LLMO service: AI search response becomes top priority for marketing
Principle Co., Ltd., with the mission of "connecting data and action to realize a better world," has supported over 500 clients as a marketing DX partner covering SEO, web advertising, web analytics, and generative AI utilization support.
With the spread of generative AI, cases where users gather information by interacting with AI instead of search engines are increasing. The SEO team manager at the company describes this change: "It's no longer enough to just improve search rankings. It has become necessary to be selected as an AI answer candidate. With the idea that LLMO is an extension of SEO, we need to optimize the entire user touchpoint."
The company began full-scale development of its LLMO service from the end of 2025 and introduced Ahrefs Enterprise plan. Brand Radar was adopted as its core function.
▪️ Key factors for adopting Ahrefs Enterprise: Two functions that accelerate LLMO practical application
▶ Brand Radar covering major LLMs
The biggest reason Principle chose Ahrefs was that Brand Radar supports all major LLMs (Large Language Models) and also has a custom prompt function. In addition to the flexibility to track prompts tailored to specific clients, the ability to monitor across major models such as ChatGPT, Copilot, and Gemini was the decisive factor for adopting the Enterprise plan.
▶ Linkage flow with Keyword Explorer
The company has established an analysis method that combines "Keyword Explorer" and "Brand Radar." By designing prompts for LLMs based on keywords in high demand for SEO, they can make proposals based on objective data. They continuously monitor the mention status in each LLM for registered prompts, identify categories with weak mentions, and link this to content reinforcement.
▶ Specific support case: Integrated support for SEO and LLMO in the insurance industry
The case of an insurance company handled by an SEO consultant symbolizes the company's approach.
On the SEO side, "Rank Tracker" is used to monitor Share of Voice (market share in organic search) compared to competitors monthly. On the LLMO side, Brand Radar is used to measure the number of mentions and citations of their own brand, and comparative analysis with competitors has begun.
Furthermore, for another client, they made specific improvement proposals for pricing pages utilizing data analysis from an LLM perspective. "It was found that mentions related to pricing in prompts were extremely weak compared to competitors. The investigation revealed that the content of the pricing page was insufficient. This issue, which might have been overlooked from an SEO perspective, was visualized through data analysis from an LLM perspective, leading to proposals for page enhancement," says the person in charge.
▶ Increasing importance of "external exposure strategy" in the AI search era
In addition to SEO measures for one's own website, external media exposure strategies are becoming increasingly important. Generative AI generates answers by quoting information from various domains, so Brand Radar can...
As the change in search behavior due to generative AI, such as ChatGPT and Google's AI Overview, accelerates, the company has established a system to optimize clients' online presence by focusing on a new metric: "number of mentions/citations from AI," in addition to "search ranking." We will introduce the full scope of their LLMO support based on Ahrefs Brand Radar and specific use cases.
Click here for details of use cases
Click here for the full text of Principle Co., Ltd. x Ahrefs utilization
▪️ Background of official launch of LLMO service: AI search response becomes top priority for marketing
Principle Co., Ltd., with the mission of "connecting data and action to realize a better world," has supported over 500 clients as a marketing DX partner covering SEO, web advertising, web analytics, and generative AI utilization support.
With the spread of generative AI, cases where users gather information by interacting with AI instead of search engines are increasing. The SEO team manager at the company describes this change: "It's no longer enough to just improve search rankings. It has become necessary to be selected as an AI answer candidate. With the idea that LLMO is an extension of SEO, we need to optimize the entire user touchpoint."
The company began full-scale development of its LLMO service from the end of 2025 and introduced Ahrefs Enterprise plan. Brand Radar was adopted as its core function.
▪️ Key factors for adopting Ahrefs Enterprise: Two functions that accelerate LLMO practical application
▶ Brand Radar covering major LLMs
The biggest reason Principle chose Ahrefs was that Brand Radar supports all major LLMs (Large Language Models) and also has a custom prompt function. In addition to the flexibility to track prompts tailored to specific clients, the ability to monitor across major models such as ChatGPT, Copilot, and Gemini was the decisive factor for adopting the Enterprise plan.
▶ Linkage flow with Keyword Explorer
The company has established an analysis method that combines "Keyword Explorer" and "Brand Radar." By designing prompts for LLMs based on keywords in high demand for SEO, they can make proposals based on objective data. They continuously monitor the mention status in each LLM for registered prompts, identify categories with weak mentions, and link this to content reinforcement.
▶ Specific support case: Integrated support for SEO and LLMO in the insurance industry
The case of an insurance company handled by an SEO consultant symbolizes the company's approach.
On the SEO side, "Rank Tracker" is used to monitor Share of Voice (market share in organic search) compared to competitors monthly. On the LLMO side, Brand Radar is used to measure the number of mentions and citations of their own brand, and comparative analysis with competitors has begun.
Furthermore, for another client, they made specific improvement proposals for pricing pages utilizing data analysis from an LLM perspective. "It was found that mentions related to pricing in prompts were extremely weak compared to competitors. The investigation revealed that the content of the pricing page was insufficient. This issue, which might have been overlooked from an SEO perspective, was visualized through data analysis from an LLM perspective, leading to proposals for page enhancement," says the person in charge.
▶ Increasing importance of "external exposure strategy" in the AI search era
In addition to SEO measures for one's own website, external media exposure strategies are becoming increasingly important. Generative AI generates answers by quoting information from various domains, so Brand Radar can...