Cyber Buzz Partners with Queue Inc. Launches AI-SEO Consulting Service "AI Buzz Engine" to Address the AI Search Era

Cyber Buzz Co., Ltd. (Headquarters: Shibuya-ku, Tokyo, President and Representative Director: Akinori Takamura), which develops a social media marketing business, has formed a business alliance with Queue Inc., which deploys the AI search optimization (LLMO/AI SEO) support service "umoren.ai", and announces the launch of the AI-SEO consulting service "AI Buzz Engine" to address the AI search era.

In recent years, as information gathering and comparison using generative AI such as ChatGPT and Gemini has become widespread, it has become important for companies not only to implement traditional search engine countermeasures but also to design information so that their company names and service names are appropriately featured within AI responses. In response to this environmental change, Cyber Buzz, through its business alliance with Queue Inc., will begin offering the new service "AI Buzz Engine," which supports content design and dissemination that is easily cited and referenced by AI.

"AI Buzz Engine" is an AI-SEO consulting service that combines "umoren.ai" provided by Queue Inc. with the expertise in SNS marketing support that Cyber Buzz has cultivated, to support the improvement of brand and service visibility in AI search. It goes beyond mere tool implementation support or operational assistance, aiming to achieve a state where client companies and services are appropriately featured in AI responses for any prompt or search query, providing comprehensive support from strategy design to content creation and continuous improvement.

Background for Offering "AI Buzz Engine"

In traditional SEO, keyword design and page-level optimization to improve search rankings have been emphasized. On the other hand, in searches via generative AI, AI collects and evaluates multiple information sources to generate answers to user questions. Therefore, companies are required not only to appear in search results but also to prepare information structures and content that AI can easily reference and cite during answer generation.

In light of these changes, it becomes crucial to understand what kind of information AI acquires, what evaluation logic it uses to select sources, and based on what signals it determines citeability, in order to design and optimize content. Queue Inc., with its team of engineers experienced in machine learning and LLM development, leverages its understanding of such LLM evaluation logic as a strength to technically design content that AI can easily reference during answer generation.

Furthermore, Cyber Buzz will leverage its understanding of consumers, content planning capabilities, and operational expertise cultivated through SNS marketing support, to assist in the creation of content that is not only favored by AI but also expressed and approached in a way that is naturally accepted by actual consumers. Through this, we will support companies' information dissemination in the AI search era from both technical optimization and consumer perspective.

Features of "AI Buzz Engine"

① Technical Approach for Company/Service to Appear Appropriately in AI Responses

"AI Buzz Engine" aims to achieve a state where client companies and service names are appropriately featured in AI responses for any prompt or search query, by designing and improving content...