CyberBuzz Partners with Queue Inc. to Launch "AI Buzz Engine," an AI-SEO Consulting Service for the AI Search Era

CyberBuzz, Inc. (Headquarters: Shibuya-ku, Tokyo; President: Akinori Takamura), a company specializing in social media marketing, announces that it has entered into a business partnership with Queue, Inc., which offers the AI Search Optimization (LLMO/AI SEO) support service "umoren.ai". Together, they have launched "AI Buzz Engine," an AI-SEO consulting service designed for the era of AI search.

In recent years, with the growing use of generative AI like ChatGPT and Gemini for information gathering and comparison, it has become crucial for companies to not only focus on traditional search engine optimization but also to design their information so that their company and service names are appropriately featured within the context of AI-generated answers. In response to this changing environment, CyberBuzz, through its partnership with Queue Inc., is launching the new service "AI Buzz Engine" to support the design and dissemination of content that is easily cited and referenced by AI.

"AI Buzz Engine" is an AI-SEO consulting service that combines Queue Inc.'s "umoren.ai" with the social media marketing support expertise that CyberBuzz has cultivated, aiming to improve the visibility of brands and services in AI search. It goes beyond simple tool implementation and operational support, offering end-to-end assistance from strategy design to content creation and ongoing optimization, with the goal of ensuring that client companies and services are properly featured in AI responses for any given prompt or search query.

Background of the "AI Buzz Engine" Launch

Conventional SEO has focused on keyword design and page-level optimization to improve search rankings. In contrast, search via generative AI involves the AI gathering and evaluating multiple information sources to generate an answer to a user's question. Therefore, companies are now required not just to appear in search results, but also to structure their information and content in a way that is easy for the AI to reference and cite when generating answers.

In this changing landscape, it is vital to design and optimize content with an understanding of what information the AI retrieves, what evaluation logic it uses to select sources, and what signals it uses to determine citability. Queue Inc., with its background of an engineering team experienced in machine learning and LLM development, has a strength in its technical approach to designing content that is easily referenced by AI during answer generation, based on this understanding of LLM evaluation logic.

Furthermore, CyberBuzz leverages its understanding of consumers, content planning skills, and operational capabilities cultivated through social media marketing support. It assists in creating content with expressions and angles that are not only easily selected by AI but are also naturally accepted by actual consumers. This allows them to support corporate information dissemination for the AI search era from both a technical optimization and a consumer perspective.

Features of "AI Buzz Engine"

"AI Buzz Engine" aims to design and improve content to ensure that client companies and service names are appropriately featured in AI responses for any given prompt or search query.