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（※1）LLMO (Large Language Model Optimization):
A method of optimization that ensures a company’s information is correctly referenced and recommended by large language models (LLMs), which serve as the foundation of generative AI. This involves improving content structure, context, and credibility so that AI can more reliably trust and cite the information.
（※2）AIO (AI Optimization):
A broader concept encompassing LLMO, referring to the overall optimization of information for generative AI. AIO initiatives aim to enhance the accuracy of AI responses and improve ranking visibility, addressing optimization from a wider perspective, including AI response tendencies and learning processes.

Background and Rationale for the Service

　In recent years, with the widespread adoption of generative AI services such as ChatGPT and Google AI Overviews (formerly SGE), an increasing number of users are obtaining information directly from AI without visiting websites. As a result, search experiences are undergoing a major shift—AI-generated answers are now prominently displayed at the top of search results—significantly impacting traditional SEO strategies and media operations.

This has led to a rise in so-called “zero-click searches,” where users complete their information needs without accessing external websites. Consequently, new challenges for corporate information visibility have emerged, including:

Company information not appearing in AI-generated responses.

A decline in website traffic from search engines.

Misinformation or inaccurate references to company data within AI outputs.

Adding urgency to this issue, industry forecasts predict that traditional search volumes will decline by 25% by 2026^(※3). For businesses, adapting to this AI-driven information ecosystem is becoming a critical priority.

Moreover, ensuring that a company’s information is accurately included in AI-generated answers is now being recognized as a new benchmark for brand recognition and trustworthiness—a factor directly tied to long-term brand value.

In response to these changes, GMO NIKKO has leveraged its expertise in digital marketing to launch “GMO AI Optimization Boost,” a next-generation information optimization service for the generative AI era. By utilizing the AIO analysis tool “AI Hack” (provided by AI Hack Inc., https://service.ai-hack.ai/
), the service enables companies to visualize and evaluate how their information is displayed and referenced across leading generative AI platforms including ChatGPT, Gemini, and Google AI Overviews.
（※3）Gartner「Gartner Predicts Search Engine Volume Will Drop 25% by 2026, Due to AI Chatbots and Other Virtual Agents」(Published: Feb 19, 2024)（https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents）Accessed June 30, 2025.

“Overview of GMO AI Optimization Boost”
（URL：https://koukoku.jp/service/llmo）

“GMO AI Optimization Boost” is a next-generation information optimization service designed for the era of generative AI. The service ensures that information about companies and products is accurately and preferentially referenced or recommended by leading generative AI platforms such as ChatGPT, Gemini, Claude, Grok, and Google AI Overviews.

Currently, this emerging field is referred to by various terms—including LLMO, AIO, GEO^(※4), and AEO^(※5)—with each carrying slightly different definitions. GMO NIKKO has chosen to take a holistic approach, integrating these perspectives to provide a service focused on the strategic control and optimization of corporate information visibility in the generative AI era.

Key Differences from Traditional SEO and Advertising Measures
●Designing content structures and contexts that AI can easily trust and cite.
●Enhancing metadata to improve the accuracy of machine interpretation.
●Strengthening relationships with external sites and third-party media referenced by AI.
●Improving reliability by securing mentions from authoritative information sources.
●Comprehensive support across both internal optimization measures and external strategies.

Independent research by AI Hack, a company specializing in AIO/LLMO measures, has shown that traditional SEO alone is insufficient for ensuring company information is properly included in AI-generated answers. Effective strategies in this domain emphasize measures such as:
●Acquiring backlinks from trusted and authoritative third-party websites.
●Structuring information in ways that AI can easily interpret.
●Explicitly citing credible sources to reinforce the validity of corporate claims.
　
（※4）GEO（Generative Engine Optimization）：An approach that treats generative AI platforms like ChatGPT or Gemini as search engines, aiming to improve information ranking and accuracy of content displayed. Similar to SEO, but adapted to maximize visibility and presence within generative AI environments.
（※5）AEO（Answer Engine Optimization）：A method designed for “zero-click searches,” where AI provides direct answers. It optimizes content for AI’s “answer engine” function, incorporating FAQ structures, schema markup, and other enhancements that allow AI to more accurately select and present trustworthy information.

Overview of the “GMO AI Optimization Boost” Service
（URL：https://koukoku.jp/service/llmo）

“GMO AI Optimization Boost” combines AI Hack’s AIO analysis tool “AI Hack” (https://service.ai-hack.ai/
) with an original checklist of more than 50 evaluation items to deliver comprehensive and practical support, including the following:

●AI Visibility Audit（AI Visibility Audit）
Researches how a company’s information is displayed in responses from ChatGPT, Gemini, Google AI Overviews, and other generative AI platforms. Results are scored across five indicators—Priority, Positive, Negative, Mention Volume, and Domain Citation—to clearly identify risks and opportunities.

●Competitive LLMO (AIO) Analysis
Analyzes how competitors’ information appears in AI-generated responses, highlighting differences from the company’s own visibility and helping design prioritized countermeasures.

●Technical Structuring of AI-Readable Information
Implements schema.org tagging, FAQ structuring, llms.txt setup, and data portal organization to build a technically reliable information framework that AI can more easily recognize and interpret.

●Generative AI–Optimized Content Creation Support
Supports the production and improvement of owned media such as expert articles, FAQs, and glossaries, structured around topics, expressions, and formats that generative AI can more readily cite.

●Citation Strategy Support
Promotes PR initiatives to secure mentions and references in trusted third-party websites and media outlets that generative AI commonly references, thereby improving the reliability and visibility of company information.

●Continuous Reporting & Improvement Proposals
Monitors the company’s inclusion and citation rate in AI-generated responses on a monthly basis, providing timely feedback and improvement recommendations.

Future Outlook

Moving forward, GMO NIKKO aims to further enhance the scope and capabilities of “GMO AI Optimization Boost” through collaboration with AI Hack, with the goal of establishing it as an industry-standard marketing practice.

In addition, to help companies address reputation risks in the era of generative AI, we will accelerate the development of new reputation management services designed to support information governance and brand control.

Company Overview: AI Hack, Inc.

Company Name: AI Hack, Inc.

Address: 34F, Atago Green Hills MORI Tower, 2-5-1 Atago, Minato-ku, Tokyo, Japan
Representative Director: Daisuke Nakamichi
Business Description: Provider of services in the field of generative AI
URL: https://ai-hack.co.jp/
E-mail: [email protected]

About GMO NIKKO
（URL：https://www.koukoku.jp/）

GMO NIKKO Inc. is a comprehensive marketing support company that creates new value through digital innovation. Since its founding in 1992, the company has drawn on extensive expertise and know-how in the marketing field to solve diverse client challenges.

Today, as a consolidated subsidiary of GMO Internet, Inc.—which oversees the Internet infrastructure and advertising/media businesses within the GMO Internet Group—GMO NIKKO provides proprietary services powered by cutting-edge technologies, including AI. The company supports advertisers in branding and customer loyalty enhancement and helps media companies maximize revenue.

Guided by its vision, “Surprising Partner.”, GMO NIKKO is committed to being an irreplaceable partner that continuously exceeds client expectations.