Keywordmap Releases "AI Search Result Report (Beta)" for GEO/LLMO Functionality! Visualizes Share of Mentions of Your Brand in Major AIs like ChatGPT and Gemini
Key facts
- Keywordmap Releases "AI Search Result Report (Beta)" for GEO/LLMO Functionality! Visualizes Share of Mentions of Your Brand in Major AIs like ChatGPT and Gemini
- CINC releases "AI Search Result Report" to analyze generative AI responses and visualize brand mentions and citations.
- Source: PR Times
- Date: April 1, 2026
Direct answer
CINC releases "AI Search Result Report" to analyze generative AI responses and visualize brand mentions and citations.
- Citation
- Keywordmap Releases "AI Search Result Report (Beta)" for GEO/LLMO Functionality! Visualizes Share of Mentions of Your Brand in Major AIs like ChatGPT and Gemini (April 1, 2026), PR Times
- Source
- PR Times
- Date
- April 1, 2026
CINC releases "AI Search Result Report" to analyze generative AI responses and visualize brand mentions and citations.
📋 Article Processing Timeline
- 📰 Published: April 1, 2026 at 00:30
- 🤖 AI Analyzed: June 2, 2026 at 12:56 (1500h 26m after Published)
CINC Inc. (Headquarters: Minato-ku, Tokyo; President and CEO: Tomonori Ishimatsu; hereinafter referred to as CINC) has released a new feature, the "AI Search Result Report (Beta)," within its proprietary SEO tool "Keywordmap" to support AI Search Optimization (GEO/LLMO).
This feature enables large-scale investigation and analysis of how major generative AIs, such as ChatGPT and Gemini, respond to specific questions (prompts), specifically identifying "which brands are mentioned" and "which domains are cited" in their answers.

What is the AI Search Result Report (Beta)?
The new "AI Search Result Report (Beta)" feature in Keywordmap is a GEO/LLMO analysis function that quantitatively visualizes how your company and competitors are handled in the "information exploration/response by generative AI," which is gradually emerging as a user search behavior.
This function goes beyond extracting a single answer, allowing for the bulk acquisition of response results for thousands of prompts. By calculating the different mention tendencies for each generative AI such as ChatGPT and Gemini, the ranking of "cited domains" that form the basis of AI answers, and the Share of Voice for each brand, it supports the planning of AI Search Optimization (GEO/LLMO) strategies.
Key Features of the AI Search Result Report (Beta)
Analysis of responses from ChatGPT / Gemini / Perplexity / AI Mode
Visualization of Mention Share (Share of Voice)
Bulk data acquisition and CSV output for thousands of prompts
* "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 on search engines" to "asking AI for answers." Consequently, more companies are focusing on AI Search Optimization (GEO/LLMO) in addition to Search Engine Optimization (SEO). On the other hand, the following challenges are becoming apparent in the marketing field regarding AI search countermeasures:
Difficulty in Grasping the Current Situation: There is no means to quantitatively grasp whether one's own services are recommended by AI or how frequently they are mentioned.
Limitations of Comparative Analysis: Manually asking AI one by one to check responses is extremely time-consuming, making prompt (question) surveys on a scale of thousands impractical.
Lack of Strategic Clarity: Without understanding which domains are easily cited by AI or the share difference with competitors, it is unclear what to aim for and what measures (GEO/LLMO) to take.
This enables an overview of the exposure status to AI Overviews within your company's target keyword groups and allows for early detection of emerging trends through comparison with competitors.
Key Highlights of the New Feature
The "AI Search Result Report" supports Web marketing in the AI search era and AI Search Optimization (GFO/LLMO) with the following applications:
Bulk acquisition and listing of response results from major generative AIs
Ranking and share visualization of mention and citation data
Identification of influential cited domains
Detailed multi-faceted analysis and CSV output
① Bulk Acquisition and Listing of Response Results from Major Generative AIs

You can obtain response content from four generative AIs – ChatGPT, Gemini, Perplexity, and AI Mode – in a list format. Since it can process thousands of prompts at once, it allows for a comprehensive understanding of AI responses to a wide range of prompts.
Benefits: It enables simultaneous comparison of response tendencies for each generative AI, such as differences in recommended brands or cited domains, and visualization of their characteristics.
② Ranking and Share Visualization of Mention and Citation Data

This aggregates "which sites (domains) were cited as sources of information" and "which brand names (service names) appeared" in the responses. It compares the citation counts and mention counts of your company and competitors, visualizing the share of voice within AI.
Benefits: By identifying areas/fields/topics where your company's recommendation rate is lower than competitors, you can clarify the characteristics of services/brands that should be promoted more strongly and pinpoint key areas for strategic focus.
③ Identification of Influential Cited Domains

You can identify domains that AI frequently cites as sources for answers on specific themes or prompts.
Benefits: This allows for prioritization of concrete promotional and publicity strategies, determining which media (domains) to publish or expose information on for your brand to be mentioned by AI.
④ Detailed Multi-faceted Analysis and CSV Output
Analysis and aggregation of responses are possible from multiple perspectives, such as "by generative AI," "by brand," and "by domain." Data can also be downloaded in CSV format.
Benefits: Outputting analysis data in CSV format facilitates advanced, proprietary data utilization, such as incorporating it into existing internal reports or recording the trends of AI mention share.
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https://keywordmap.cinc-j.co.jp/keywordmap-trial-2_pr
Example Use Cases for the AI Search Result Report
SEO Managers and Content Creators
Identify external domains (sources) that AI trusts. This can be used not only for creating content on your own website but also for prioritizing which external media to contribute articles to or gain exposure on, supporting the creation of a multifaceted foundation for AI mentions.
Brand Managers and PR Representatives
Quantify the extent to which your company and competitors are recommended by AI for specific categories or related prompts. This serves as an objective metric for "in-AI brand awareness" for evaluation.
Advertising Agencies and Consultants
Diagnose the current state of AI search optimization (GEO/LLMO) for client companies using data from thousands of prompts. Visualize which prompts are losing share to competitors and use this as a basis for concrete improvement proposals.
About Keywordmap
Keywordmap is a tool that supports SEO and content marketing by providing functions for competitor research, keyword selection, AI writing, and performance measurement, based on vast amounts of search results, data from your own and competitor websites, and listing ad data. Since its release in 2016, it has been utilized by a wide range of companies promoting web engagement, regardless of industry or business size.
Keywordmap's Awards

Keywordmap has been awarded "Best Software in Japan" for two consecutive years by ITreview, Japan's largest platform for reviewing and comparing corporate IT products and cloud services (2025 Fiscal Year: 58th place, 2024 Fiscal Year: 41st place).

Additionally, it has received "Good Service" on the SaaS comparison site BOXIL, and ranked No. 1 in both "Usefulness" and "Feature Satisfaction" departments, receiving high praise from many users.
■Related Media "Keywordmap ACADEMY"
This media provides learning resources on basic knowledge and the latest information in digital marketing.
URL: https://keywordmap.jp/academy/
■Inquiries Regarding Tools and Services
CINC Inc. Keywordmap Secretariat
mail: km_cs@cinc-j.co.jp
<Company Overview>
CINC's vision is "To become a leading company in Japan through marketing solutions." The company develops digital marketing tools and provides marketing consulting, leveraging its strengths in big data utilization. Based on its proprietary data collection technology, AI/machine learning technology, and data analysis expertise, CINC contributes to the business growth of its clients by developing and providing tools that enable anyone to perform advanced big data analysis quickly and easily, as well as by offering marketing consulting where professionals provide end-to-end support from strategy planning to execution.
Company Name: CINC Inc. (Listed on Tokyo Stock Exchange Growth, Securities Code: 4378)
Representative: Tomonori Ishimatsu, President and CEO
Established: April 2014
Headquarters: 6F, Tokyu Toranomon Building, 1-21-19 Toranomon, Minato-ku, Tokyo
Business Activities:
(1) Solution Business
(2) Analytics Business
(3) M&A Advisory Business (CINC capital Inc.)
Company Website: https://www.cinc-j.co.jp
Recruitment Information: https://www.cinc-j.co.jp/recruit/
Operated Media "Marketing Native": https://marketingnative.jp/
Tech Blog: https://cincdevteam.hatenablog.com/
FAQ
What is the "AI Search Result Report (Beta)"?
It is a new feature of Keywordmap that conducts large-scale investigation and analysis of which brands are mentioned and which domains are cited by generative AIs like ChatGPT and Gemini in response to specific questions. It visualizes the mention share of your company and competitors in AI search and supports the planning of AI Search Optimization (GEO/LLMO) strategies.
Which AI responses can be analyzed?
It can analyze responses from four generative AIs: ChatGPT, Gemini, Perplexity, and AI Mode. Additionally, "AI Overviews" displayed on Google search results can be obtained using the existing "AIOs Appearance Report" feature.
How are prompt surveys on a scale of thousands conducted?
This feature allows for the bulk acquisition of response results for thousands of prompts. This reduces the enormous labor required for manual surveys and enables efficient understanding of AI responses.
What is "Mention Share (Share of Voice)"?
It is an indicator showing the proportion of mentions of your company's brands and competitor brands within the responses generated by AI. This allows you to understand your company's awareness and recommendation level in AI search compared to competitors.
What challenges does this feature address?
It addresses challenges such as the difficulty in grasping the mention status of one's own services in AI search, the limitations of manual surveys, and the lack of clarity in strategy planning. It supports the planning and execution of AI search optimization strategies based on quantitative data.