CINC Launches 'AI Misinformation Check Service' to Diagnose and Improve Risks on Generative AI

CINC (Headquarters: Minato-ku, Tokyo; President and CEO: Tomonori Ishimatsu) has announced the launch of its 'AI Misinformation Check Service,' designed to diagnose whether generative AI platforms are providing incorrect information about a company or its products and services.

Using CINC's proprietary 'AI Misinformation Check Function,' the service reports on inaccuracies or inappropriate contextual mentions generated by platforms such as ChatGPT, Gemini, Perplexity, AI Mode, and AI Overviews. The diagnostic service is available as a standalone offering.

Furthermore, when combined with AI Search Optimization (GEO/LLMO) consulting, CINC provides end-to-end support, including the design and execution of improvement strategies and post-implementation monitoring. This helps companies and brands ensure they are recommended within the appropriate context by generative AI.

<Background> While the use of ChatGPT, Gemini, and Perplexity has become routine, risks of generative AI providing incorrect information—such as suggesting obsolete product models or outdated pricing—have become apparent. This occurs because AI tends to reference a variety of information across the web, including press releases, reviews, and comparison sites, in addition to official corporate websites.

<Service Details> 1: Cross-platform checks of company information on major generative AI. After registering correct information about a company or its products, the service sends consistent prompts to major AI platforms to cross-examine their responses. 2: Categorizing misinformation and prioritizing responses. The service categorizes responses into seven types, including 'accurate,' 'mixed timeliness,' 'contextual mismatch,' 'incomplete,' 'inaccurate,' 'hallucination,' and 'no information.' 3: Investigating citation URLs and sources to drive improvements. The service investigates the sources likely causing the misinformation and proposes actionable improvements. 4: Continuous monitoring of changes after measures are implemented. After corrective measures are taken, the service periodically verifies AI responses to ensure they maintain the appropriate context.