Keywordmap Releases GEO/LLMO Feature "AI Search Result Report (Beta)"! Visualizes Brand Mention Share in Major AIs like ChatGPT and Gemini
CINC Inc. has released "AI Search Result Report (Beta)" as a new feature to support AI search optimization (GEO/LLMO) within its SEO tool "Keywordmap." This enables large-scale analysis of brand mention share and cited domains in major generative AIs like ChatGPT and Gemini, aiding in AI search strategy formulation.
📋 Article Processing Timeline
- 📰 Published: April 1, 2026 at 00:30
- 🔍 Collected: April 1, 2026 at 01:06 (36 min after Published)
- 🤖 AI Analyzed: April 22, 2026 at 09:27 (512h 20m after Collected)
CINC Inc. (Headquarters: Minato-ku, Tokyo; Representative Director and President: Tomonori Ishimatsu; hereinafter "CINC") has released "AI Search Result Report (Beta)," a new feature to support AI Search Optimization (GEO/LLMO) within its self-developed and provided SEO tool "Keywordmap."
This feature enables large-scale investigation and analysis of "which brands are mentioned" and "which domains are cited" by major generative AIs such as ChatGPT and Gemini in their responses to specific questions (prompts).
## What is the AI Search Result Report (Beta)?
Keywordmap's new feature, "AI Search Result Report (Beta)," is a GEO/LLMO analysis function that quantitatively visualizes how a company and its competitors are treated in "information discovery/answers by generative AI," which is gradually emerging as a user search behavior.
This function not only extracts single answers but also allows for batch acquisition of answer results for thousands of prompts. By calculating the trends of mentions that differ for each generative AI like ChatGPT and Gemini, the ranking of "cited domains" that AIs use as a basis for their answers, and the share of voice for each brand, it supports the formulation of AI Search Optimization (GEO/LLMO) strategies.
Main features of the AI Search Result Report (Beta):
- Analysis of responses from ChatGPT / Gemini / Perplexity / AI Mode
- Visualization of mention share (share of voice)
- Batch data acquisition and CSV output for thousands of prompts
*Information on "AI Overviews" displayed on Google search results can be obtained using Keywordmap's existing "AIOs Appearance Report" feature.
## Shift from SEO to AI Search Optimization (GEO/LLMO): Background of Development
With the spread of generative AI, user search behavior is beginning to shift from "searching with a search engine" to "asking AI for answers." Consequently, more companies are addressing AI Search Optimization (GEO/LLMO) in conjunction with Search Engine Optimization (SEO). However, in the marketing field, the following challenges have become apparent in addressing AI search:
- **Difficulty in grasping the current situation**: There is no means to quantitatively understand whether one's services are recommended by AI or how frequently they are mentioned.
- **Limitations of comparative analysis**: Manually asking AI questions one by one and checking answers requires an enormous amount of effort, and investigating thousands of prompts is not realistic.
- **Lack of strategic clarity**: Without knowing which domains are frequently cited by AI or the share difference with competitors, it is unclear where to aim and what measures (GEO/LLMO) to take.
This enables a comprehensive overview of the exposure status to AI Overviews for a company's target keyword groups, allowing early detection of changes through comparison with competitors.
## Key Points of the New Feature
"AI Search Result Report" supports web marketing in the AI search era and AI Search Optimization (GFO/LLMO) with the following
This feature enables large-scale investigation and analysis of "which brands are mentioned" and "which domains are cited" by major generative AIs such as ChatGPT and Gemini in their responses to specific questions (prompts).
## What is the AI Search Result Report (Beta)?
Keywordmap's new feature, "AI Search Result Report (Beta)," is a GEO/LLMO analysis function that quantitatively visualizes how a company and its competitors are treated in "information discovery/answers by generative AI," which is gradually emerging as a user search behavior.
This function not only extracts single answers but also allows for batch acquisition of answer results for thousands of prompts. By calculating the trends of mentions that differ for each generative AI like ChatGPT and Gemini, the ranking of "cited domains" that AIs use as a basis for their answers, and the share of voice for each brand, it supports the formulation of AI Search Optimization (GEO/LLMO) strategies.
Main features of the AI Search Result Report (Beta):
- Analysis of responses from ChatGPT / Gemini / Perplexity / AI Mode
- Visualization of mention share (share of voice)
- Batch data acquisition and CSV output for thousands of prompts
*Information on "AI Overviews" displayed on Google search results can be obtained using Keywordmap's existing "AIOs Appearance Report" feature.
## Shift from SEO to AI Search Optimization (GEO/LLMO): Background of Development
With the spread of generative AI, user search behavior is beginning to shift from "searching with a search engine" to "asking AI for answers." Consequently, more companies are addressing AI Search Optimization (GEO/LLMO) in conjunction with Search Engine Optimization (SEO). However, in the marketing field, the following challenges have become apparent in addressing AI search:
- **Difficulty in grasping the current situation**: There is no means to quantitatively understand whether one's services are recommended by AI or how frequently they are mentioned.
- **Limitations of comparative analysis**: Manually asking AI questions one by one and checking answers requires an enormous amount of effort, and investigating thousands of prompts is not realistic.
- **Lack of strategic clarity**: Without knowing which domains are frequently cited by AI or the share difference with competitors, it is unclear where to aim and what measures (GEO/LLMO) to take.
This enables a comprehensive overview of the exposure status to AI Overviews for a company's target keyword groups, allowing early detection of changes through comparison with competitors.
## Key Points of the New Feature
"AI Search Result Report" supports web marketing in the AI search era and AI Search Optimization (GFO/LLMO) with the following