CINC Launches Free Provision of GEO Tool 'AIsearchmap' to Visualize and Monitor AI Recommendation Rates by Comparing AI 'Share of Voice' (SoV) with Competitors

CINC Corporation (Headquarters: Minato-ku, Tokyo; President and CEO: Tomonori Ishimatsu; hereinafter 'CINC') has released a new tool, 'AIsearchmap,' which visualizes and monitors brand mentions and cited domains on major Large Language Models (LLMs) in response to the changes in users' information-gathering behavior brought about by the widespread use of generative AI.

This tool regularly collects and monitors the response results of major LLMs such as ChatGPT, Gemini, Perplexity, and Google's AI Mode/AI Overviews. It quantitatively visualizes and conducts fixed-point observations of the contexts in which a company's own or competitor's brand is mentioned, the degree of mention (Share of Voice = SoV), and what domains are cited and to what extent.

In the newly emerging field of AI Search Optimization (GEO/LLMO), in addition to traditional Search Engine Optimization (SEO), it solves the challenges faced by many companies, such as 'not knowing where to start' and 'being unable to grasp how one's own company is evaluated by AI.'

Coinciding with this release, we have started accepting applications for 'monitor use,' which allows users to utilize this tool free of charge. Through a screening process, we will support companies that are pioneering marketing in the AI search domain.

What is AIsearchmap?

'AIsearchmap' is a 'GEO/LLMO monitoring tool' that accumulates and analyzes the response data output by major LLMs (ChatGPT, Gemini, Perplexity, etc.) in response to user queries, visualizing the actual state of brand exposure and the citation source domains referenced for the answers.

It extracts how a company's own and competitor's brands are recognized and recommended by LLMs as 'Share of Voice (SoV)' and 'Cited Domain Rankings.' Going beyond merely collecting answers, it visualizes the gap with competitors in an easy-to-understand manner using graphs and ranking formats. It also features a function to automatically propose the optimal prompts for a company, making it a next-generation marketing platform that provides end-to-end support for planning and executing AI search optimization (GEO/LLMO) strategies while reducing man-hours.

Development Background of AIsearchmap

1. Dramatic Changes in User Behavior and the Shift of the 'Starting Point for Decision-Making'
With the rapid spread of generative AI led by ChatGPT, user information gathering is shifting significantly from traditional 'entering search keywords and comparing on search results' to 'asking AI directly and obtaining integrated answers.' As AI is becoming the 'starting point for decision-making' in purchasing activities and service comparisons, how a company is introduced in AI answers has become a matter of life and death that affects business growth.

2. The Wall of 'Unmeasurability' in the GEO/LLMO Domain
While many marketers recognize the importance of AI search countermeasures (GEO/LLMO), they face serious challenges such as the following:

- Difficulty in grasping the actual situation: AI answers are dynamic, and individual surveys cannot capture the overall picture or trends.
- Inability to compare with competitors: Even if a company knows it is mentioned, it cannot quantify its position compared to competitors.
- Increase in man-hours: There is no time or resource margin to manually input prompts to each LLM and record/analyze the answers.

3. Giving Shape to CINC's Expertise
By integrating the vast data analysis know-how cultivated through the development and operation of the SEO/AI search optimization tool 'Keywordmap' and the consulting expertise that has supported the digital marketing of numerous companies, AIsearchmap was born as a tool to serve as a 'map' for corporate personnel to solve the above challenges without hesitation and make their next move.

Features of AIsearchmap

AIsearchmap is equipped with the following functions to analyze and monitor the recognition and evaluation by AI of one's own company and competitors, which is the first step in AI search countermeasures.

① Automatic and Regular Collection of Response Results from Major LLMs (Weekly Monitoring)
It automatically collects responses from currently mainstream AIs (LLMs) such as ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode. Because data is accumulated weekly, it is possible to grasp exposure status as a medium- to long-term trend rather than a temporary result.

② Automatic Detection of Brand Mentions and Visualization of SoV (Share of Voice)
It automatically detects the names of a company's own and competitor brands from the collected response texts. The collected data is analyzed as fol