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

CyberBuzz, Inc. (Headquarters: Shibuya-ku, Tokyo; CEO: Akinori Takamura), a social media marketing company, announces that it has partnered with Queue, Inc., which operates the AI search optimization (LLMO/AI SEO) support service "umoren.ai," to launch "AI Buzz Engine," an AI-SEO consulting service designed for the AI search era.

In recent years, as information gathering and comparative research using generative AI such as ChatGPT and Gemini has expanded, it has become increasingly important for companies to design their information so that their company and service names are appropriately featured within AI-generated responses, in addition to traditional search engine optimization. In response to these environmental changes, CyberBuzz, through its partnership with Queue, has launched "AI Buzz Engine," a new service that supports content design and distribution optimized for AI citation and reference.

"AI Buzz Engine" is an AI-SEO consulting service that combines Queue's "umoren.ai" with CyberBuzz's accumulated expertise in SNS marketing support to enhance brand and service visibility in AI search results. Going beyond mere tool implementation support or operational assistance, the service provides end-to-end support—from strategic planning to content creation and ongoing optimization—aiming to ensure that client companies and services are appropriately featured in AI responses for any given prompt or search query.

■ Background of "AI Buzz Engine"

Traditional SEO has emphasized keyword design and page-level optimization to improve search rankings. In contrast, AI-powered search involves AI collecting and evaluating multiple information sources to generate responses to user queries. As a result, companies are now required not only to appear in search results but also to structure their information and content in ways that make it easy for AI to reference and cite when generating responses.

In this changing landscape, the key is understanding what information AI retrieves, what evaluation logic it uses to select sources, and what signals it relies on to determine citation eligibility—and then designing and optimizing content based on that understanding. Queue brings a team of engineers with backgrounds in machine learning and LLM development, leveraging their understanding of LLM evaluation logic to design content that AI is more likely to reference when generating responses.

Furthermore, CyberBuzz leverages its consumer insights, content planning capabilities, and operational expertise cultivated through SNS marketing support to help create content that is not only preferred by AI but also naturally resonates with real consumers in terms of expression and approach. Through this combination of technical optimization and consumer perspective, the company will support corporate communications adapted for the AI search era.

■ Key Features of "AI Buzz Engine"

"AI Buzz Engine" designs and improves content with the goal of ensuring that client companies and service names are appropriately featured in AI responses for any given prompt or search query.