[Aucfan] Launch of 'Aucfan LLMO Atlas' to Visualize Corporate and Brand Recognition on Generative AI

Aucfan has launched 'Aucfan LLMO Atlas,' a diagnostic service that analyzes the recognition of corporate and brand (product) names on generative AI and provides diagnostic reports with actionable improvement points.

What is 'LLMO,' the focus of the AI search era?
LLMO (Large Language Model Optimization) is an optimization strategy to ensure generative AI correctly recognizes and recommends a company's corporate, brand, and product/service information. Unlike traditional search engine SEO, LLMO is attracting attention as a new marketing strategy in the era of generative AI.

Background of 'Aucfan LLMO Atlas'
With the recent spread of generative AI, users frequently ask, 'What are recommended services?' or 'Which companies are leaders in this industry?' using AI to compare and evaluate companies. Meanwhile, companies have required significant time and labor to understand how they are perceived and recommended by AI. In response, Aucfan launched 'Aucfan LLMO Atlas' to provide diagnostic reports by analyzing brand recognition and competitive landscape across multiple generative AI platforms like ChatGPT and Gemini based on client interviews.

Key features of 'Aucfan LLMO Atlas'
- Creation of LLMO diagnostic reports tailored to industry characteristics: We analyze how a company is recognized and compared in generative AI based on interviews regarding business type, content, competitive landscape, and focus areas.
- Analysis of brand recognition across multiple generative AI platforms: We analyze how a brand is viewed on platforms like ChatGPT and Gemini, identifying the unique characteristics of each AI.
- Report format useful for both management and field operations: Reports include easy-to-understand summaries as well as detailed information such as competitive comparisons and improvement points.
- Efficiency in research and analysis for continuous LLMO measures: The service supports not only initial diagnosis but also ongoing monitoring and improvement suggestions.

Future outlook
Moving forward, we will expand the covered industries, enhance analytical perspectives and comparison metrics, and improve the precision of industry-specific insights. We plan to update the service to be useful for continuous monitoring and proposal activities beyond initial diagnostics.