Keywordmap SEO/GEO Tool Adds Data Extraction and Analysis for Microsoft Copilot Responses

CINC Corporation (Headquarters: Minato-ku, Tokyo; Representative Director and President: Tomonori Ishimatsu; hereinafter 'CINC') has released a feature update for its proprietary SEO and AI Search Optimization (GEO/LLMO) research and analysis tool, 'Keywordmap.' This update adds Microsoft's 'Copilot' to the data acquisition targets of the 'AI Search Result Report (Beta),' a feature designed to quantitatively visualize generative AI responses.

With this update, it becomes possible to acquire and analyze response data from Microsoft's generative AI, 'Copilot,' in addition to conventional major generative AIs (such as ChatGPT and Gemini). It strongly supports the research and analysis of information exposure and brand recall not only in standard search contexts but also in AI usage environments closely mirroring actual business settings. This is particularly effective in aiding the formulation of AI search optimization (GEO/LLMO) strategies targeted at large enterprises and the B2B sector.

What is the AI Search Result Report (Beta)? The 'AI Search Result Report (Beta)' is a feature that visualizes and analyzes what information generative AIs cite and reference, and what kinds of answers they generate. It allows companies to quantitatively evaluate the recommendation status of their own and their competitors' services and brands.

The most significant feature is the ability to acquire and analyze the response results for thousands of prompts (questions) in bulk, going beyond single-answer extraction. By calculating the differing mention trends of each generative AI, the ranking of 'cited domains' that the AI uses as the basis for its answers, and the Share of Voice for each brand, it enables next-generation marketing strategies that transcend the boundaries of traditional SEO.

Background of the Update: The Need to Analyze 'Business AI' Deeply Rooted in the Workplace With the proliferation of generative AI, grasping the exposure and mention status of one's brand in AI search results is becoming a top priority for corporate marketers. However, AI analysis in the market so far has tended to lean heavily toward the context of 'search AI' used mainly by general consumers for private or general information discovery.

On the other hand, looking at the daily operations of enterprises, Microsoft's 'Copilot,' which is deeply integrated into business environments and infrastructure, is rapidly expanding its market share. Especially in large corporations, due to high trust in security and governance, there are many cases where Copilot is adopted as the standard internal generative AI.

The decision-making process for business professionals (B2B customers) increasingly begins with 'queries to AI assistants within the business environment.' In B2B marketing and approaches to enterprise companies, comprehensively covering Copilot's response data has become an indispensable element in AI search countermeasures (GEO/LLMO).

Numerous requests have been received from Keywordmap user companies, such as, 'We want to analyze data from Copilot, which is used most often in the business field,' and 'We want to know how our company is recommended within Copilot as an approach to B2B customers.' To provide a data-driven analysis environment aligned with the diverse realities of AI usage in the field, this expansion of data acquisition targets was carried out.

Details of the Feature Update: Changes Brought by the Addition of 'Copilot' With this update, 'Copilot' is officially integrated as an analysis target of the 'AI Search Result Report (Beta),' enabling batch data acquisition and visualization directly from the tool.

1) Batch Acquisition and Listing of Major Generative AI Responses In addition to the traditional four AIs (ChatGPT / Gemini / Perplexity / AI Mode), the tool now automatically acquires Copilot response data for thousands of queries in bulk. It comprehensively compares and visualizes the differences in response trends across each AI.

2) Ranking of Mention/Citation Data and Visualization of Share It aggregates the number of citations and mentions of your company and competitors within the answers of AIs, including Copilot, clarifying the cognitive share within the AI and identifying key areas requiring focus.

3) Identification of Influential Cited Domains By identifying the domains that AIs cite as information sources, companies can prioritize concrete publicity strategies, such as which media outlets to target for exposure. Since Copilot tends to cite and reference differently from other AIs, this supports high-resolution analysis and the execution of multifaceted measures.

4) Detailed Analysis and CSV Output It supports aggregation across comprehensive criteria including Copilot data, and CSV output facilitates easy integration into internal reports and advanced, customized data utilization.

Value and Benefits of Using the Feature The 'AI Search Result Report (Beta),' now capable of acquiring Copilot response data, offers the following value and benefits:

1) From 'Search AI Analysis' to 'Business AI/Assistant Analysis' It enables the acquisition of realistic AI response data closer to business decision-making, not just general information discovery data. This visualizes the phase just prior to purchasing behavior directly linked to business negotiations and conversions (consideration for introduction).

2) Eliminating Subjectivity and Increasing Precision in Strategy Through Multi-AI Comparison By analyzing ChatGPT, Gemini, and now Copilot side-by-side, it realizes 'comprehensive and highly accurate AI search optimization (GEO/LLMO)' that is not biased toward a specific AI. It enables data-driven decision-making, eliminating operational dependency on the experience and intuition of marketers.

3) Gaining Early Mover Advantage and Preventing Opportunity Loss By continuously monitoring cognitive status within Copilot, which is highly adopted by large enterprises, companies can rapidly begin to 'capture share within AI' before competitors notice. It proactively prevents 'invisible opportunity losses' caused by competitors being recommended while your company is not mentioned.

Future Image of Utilization in Marketing With this update, Web managers and marketing leaders will be able to perform advanced data analysis and strategy formulation as follows:

- B2B Marketers / Companies Providing Enterprise Services Quantitatively measure how much the brand is introduced (mention share) compared to competitors when target customers ask Copilot about related services during daily desk work. It can be utilized as a health check for digital cognition in B2B.

- Differential Analysis of 'Brand Recall' by Use Case Compare answers side-by-side: 'responses when a general consumer searches on ChatGPT on a smartphone' versus 'responses when a business professional searches on Copilot.' By visualizing the increase/decrease (differences) in mentions by AI use case and platform, users can identify at a glance 'which areas lack SEO/GEO countermeasures.'