AI Hack Inc. (Head Office: Minato-ku, Tokyo; CEO: Daisuke Nakamichi; hereinafter “AI Hack”) is pleased to announce that it has entered into a partnership with GMO NIKKO Inc. (President and CEO: Isamu Sakuma; hereinafter “GMO NIKKO”), a consolidated subsidiary of GMO Internet Group and a provider of comprehensive marketing support services. Through this partnership, AI Hack will provide its AIO analysis tool, AI Hack, to GMO NIKKO in support of the new LLMO （※1） and AIO （※2） strategy service, “GMO AI Optimization Boost.”
(※1) LLMO: Large Language Model Optimization
A method of optimizing large language models (LLMs)—the foundation of generative AI—so that company-specific information is more likely to be accurately referenced or recommended. By refining content structure, contextual relevance, and reliability, LLMO ensures that AI systems can more accurately trust, prioritize, and cite the provided information.
(※2) AIO: AI Optimization
A broad term referring to the optimization of generative AI as a whole, including LLMO. AIO aims to improve the accuracy of AI-generated responses and the visibility of specific content in AI outputs. Compared to LLMO, AIO takes a more comprehensive approach by addressing various aspects of AI behavior and learning processes.
Background of the Service
In recent years, the use of generative AI in search and answer experiences—such as ChatGPT and Google AI Overviews (formerly SGE)—has expanded rapidly. As a result, ensuring that accurate and relevant company information is included in AI-generated responses is becoming a new key metric for businesses in driving search traffic and building brand awareness.
Meanwhile, the rise in AI-generated answers directly on search results pages has led to an increase in “zero-click searches,” where users no longer visit external websites after searching. As a result, companies are facing emerging challenges such as their information being omitted from AI-generated answers, a noticeable decline in website traffic from search engines, and the risk of incorrect information being cited. In fact, some reports predict that traditional search engine query volumes may drop by 25% by 2026 (※3), emphasizing the urgent need for businesses to adapt to the change in information distribution.
To address these changes, GMO NIKKO has launched the LLMO (AIO) Strategy Service “GMO AI Optimization Boost”— a new approach to information optimization in the era of generative AI. Through this collaboration, AI Hack will provide its AIO analysis tool "AI Hack" , supporting the acceleration and advancement of initiatives for generative AI optimization of corporate information.
(※3) Reference：Gartner「Gartner Predicts Search Engine Volume Will Drop 25% by 2026, Due to AI Chatbots and Other Virtual Agents
What is the “GMO AI Optimization Boost”?
The “GMO AI Optimization Boost” is an information optimization solution designed for the era of generative AI. It helps ensure that a company’s information is accurately presented, comprehensively covered, and prioritized for reference and recommendation by generative AI systems such as ChatGPT, Gemini, Claude, Grok, and Google AI Overviews.
Currently, this field is referred to by various terms—such as LLMO (Large Language Model Optimization), AIO (AI Optimization), GEO (Generative Engine Optimization), and AEO (Answer Engine Optimization)—each with slightly different definitions. In response, we are delivering a service that takes an integrated approach to these concepts, with the goal of enabling strategic control and optimized visibility of corporate information in the era of generative AI.
Key Differences from Traditional SEO and Advertising Strategies
- Designs content and context to be easily trusted and cited by AI
- Enhances machine interpretation through structured metadata
- Strengthens connections with external sites and media that AI references
- Increases credibility through mentions from authoritative sources
- Provides comprehensive support for both internal and external strategies
In addition, research at AI Hack has revealed that traditional SEO measures alone are no longer sufficient to ensure a company’s information is accurately featured by AI systems. In LLMO (AIO) strategy, factors such as acquiring backlinks from highly trusted third-party sites, structuring information in a way that is easily interpretable by AI, and clearly citing credible sources to support key claims are increasingly critical for being referenced and recommended by generative AI.
Details of the “GMO AI Optimization Boost” by GMO NIKKO
The “GMO AI Optimization Boost” provides comprehensive and practical support based on a checklist of over 50 evaluation items. The following is a selection of the services offered. (Partial list of offerings)
- AI Visibility Audit
Analyzes how your company is referenced on ChatGPT, Gemini, and Google AI Overviews, scoring across five metrics: prominence, positive/negative tone, mention volume, and domain citations. Clearly identifies risks and opportunities.
- Competitive LLMO (AIO) Analysis
Examines how competitors are represented by AI and identifies key differences to prioritize your optimization strategy.
- Technical Structuring for AI Readability
Implements schema.org tags, FAQ structuring, llms.txt, and data portal optimization to build a reliable, AI-friendly information architecture.
- AI-Optimized Content Development
Creates or refines owned media—such as expert articles, FAQs, and glossaries—based on structures and language that AI is more likely to reference.
- Citation Strategy Support
Drives external PR efforts to secure mentions in high-authority media and institutional sources favored by AI systems.
- Ongoing Reporting & Optimization
Monitors monthly citation rates and content in AI responses, providing timely improvement recommendations.
Detailed Features of the AIO Analysis Tool “AI Hack”
AI Hack is an AIO analysis tool that sends prompts to multiple generative AI systems (such as ChatGPT) and visualizes and scores their responses. The key features are as follows:
- Visualization of AI Responses to Company Content
By registering prompts (questions), the tool retrieves answers from multiple AI/LLM models and visualizes how AI responds to your content.
- Quantitative Evaluation Using AIO Scores
Responses are scored across multiple dimensions, including priority, positive sentiment, negative sentiment, mention volume, and domain citation scores.
- Competitive Analysis
The tool also scores information from multiple competitor companies and services, enabling comparative analysis alongside your own data.
Future Outlook
At AI Hack, we will continue to refine and improve the algorithms of our AIO analysis tool, "AI Hack," to enhance the accuracy of AIO diagnostics. This will further strengthen our support for companies in optimizing their generative AI (AIO) strategies.
About AI Hack
AI Hack, Inc. provides analytics-driven tools and services that remove barriers to generative AI adoption—helping clients accelerate digital transformation while mitigating privacy, copyright, and other compliance risks. The company specializes in AIO (AI Optimization), a structured framework for visualizing and optimizing AI search responses (also known as GEO or LLMO), enabling businesses to track AI behavior, improve brand alignment, and ensure accurate, ethical AI outputs.