Regret over 'lack of data' after ordering, despite 'cost-performance focus' during selection: Free Release of 'PR Company Selection Guide for BtoB Public Relations Not Ignored by AI'

IDEATECH Inc. (Headquarters: Minato-ku, Tokyo; Representative Director and President: Tomoo Ishikawa), which operates "Repopy®" (https://ideatech.jp/service/report-pr ) for one-stop report marketing, has released the "PR Company Selection Guide for BtoB Public Relations Not Ignored by AI" for free. ▼ Download the "PR Company Selection Guide for BtoB Public Relations" URL: https://ideatech.jp/download/342 【Three Key Points of This Guide】 A contradiction: 30.0% prioritize "cost-performance" during selection, but the top complaint after ordering is "insufficient data quality" at 58.3%. While 90.8% of personnel consider generative AI search "important," only 25.7% actually implement it. Practical explanation of "Three Perspectives for Assessing Capability" discerned from past achievements, meetings, and proposals. ■ "PR Company Selection Guide for BtoB Public Relations": Summary As generative AI search becomes mainstream for information gathering, the pitfall of "cost-performance focus" in PR company selection has become apparent. While 58.3% of clients are dissatisfied with "insufficient quality or quantity of factual information," a contradiction exists where "cost performance" (30.0%) is the most emphasized factor during selection. This guide explains the criteria and practical perspectives for identifying a true partner capable of creating "strong data" that can be cited by AI. ■ "PR Company Selection Guide for BtoB Public Relations": Original Survey Results This guide systematically explains "the reality of choosing a research PR company and essential judgment criteria" based on multiple original survey data conducted by IDEATECH. 【Survey Results】 A contradiction: 30.0% prioritize "cost-performance" during selection, but the top complaint after ordering is "insufficient data quality" at 58.3%. In the "Survey on Selection Criteria for Digital PR Companies" (targeting 220 PR and marketing personnel), the most important point during selection was "cost performance" (30.0%). However, in the "Survey on Selection of LLMO Support Companies in BtoB Business" (n=329), the top complaint after outsourcing was "insufficient quality or quantity of factual information (research data and dissemination)" (58.3%). Seeking "cheap and fast companies" during selection, and then regretting "low data quality" after selection—this discrepancy is the biggest pitfall in choosing a PR company. While price is easy to compare, placing an order without discerning the truly important "data quality" directly leads to regret. Why "cost-performance focus" leads to mismatches in digital PR company selection. The technical background why AI prioritizes primary research data. Three essential judgment criteria: "design capability for unexpectedness," "acceptance of research design burden," and "understanding of BtoB purchasing." BtoB public relations and marketing personnel who want to avoid failure in PR company selection. Those who feel challenged because their company's information does not appear in generative AI searches. Management and planning department personnel who want to identify capable partners for research PR. ■ Explanation Guide Table of Contents Chapter-1 Why does a "cost-performance focused" selection method lead to mismatches? Chapter-2 Technical Background - Why does AI "ignore" your communications? Chapter-3 Three Judgment Criteria Beyond Cost Performance - Selection Standards Learned from Failures Chapter-4 Exposing True Capability - Three Perspectives to Discern from Actions and Output Chapter-5 Conclusion ▼ Download the "PR Company Selection Guide for BtoB Public Relations" URL: https://ideatech.jp/download/342 ■ Guide FAQ Q1. What is Research PR? Why is it gaining attention in the AI era? Research PR is a method that simultaneously achieves media exposure and improved credibility by conducting original research within the company and disseminating the results as press releases. Since AI (such as ChatGPT and Perplexity) refers to "objective numerical data and verifiable primary data" when generating answers, companies with original research data become information sources that can "exist" in the AI's answer space. 94.6% of public relations and PR personnel evaluate research PR as "effective," and it is gaining increasing attention as the most important strategy in the generative AI search era. Q2. What is the difference between a press release cited by AI and one that is not? The biggest differences are the "presence of primary data" and "structuring of information." Content that AI is likely to choose as an information source has three characteristics: ① Consists of numerical and quantitative data. ② Clearly states the research method, sample size, and implementation period. ③ Is cited and reprinted by other media. Subjective service introductions and abstract opinions tend to be ignored by AI. Press releases with concrete numerical data and described in a three-layer structure of "question → numerical value → analysis" are more likely to be cited by AI. Q3. What is "LLMO"? How is it different from SEO? LLMO stands for "Large Language Model Optimization," and it is a method for ensuring that AI such as ChatGPT and Gemini correctly recognize and cite a company's information. While SEO aims to improve Google search rankings, LLMO aims for a company's data and opinions to be included in AI's answers. 90.8% of personnel consider the display of their company's information in generative AI searches "important," and LLMO is rapidly gaining attention as a measure to be pursued in parallel with SEO. Q4. What is the most important point for successful Research PR? The accuracy of research design. 91.1% of marketing personnel have answered that they "have failed" in original research, with the top reason for failure being "research design took too much time" (49.3%), and the second being "question design error led to biased answers" (37.4%). For research topics cited by AI, three conditions are indispensable: "alignment with search intent," "unexpectedness," and "citability (clear statement of research method, sample size, and implementation period)." Additionally, it is recommended to secure a sample size of n=200 or more. Q5. How can one research data be utilized for maximum effect? Multifaceted deployment of one research data into seven types of content—press releases, white papers, owned media articles, SNS posts, sales materials, webinar materials, and email newsletters—is effective. This maximizes the web exposure that AI refers to. In fact, 60.7% of companies reported using it as "SNS content" after research release, 39.3% "re-edited as a white paper," and 38.4% "incorporated into sales materials," indicating that one research can continue to function across multiple channels for a long time. ■ "Repopy®" for creating high-quality leads and business negotiations directly linked to sales through white papers. "Repopy®" is a "report-based marketing" method that achieves lead acquisition. Professionals with over 10 years of PR/marketing support experience will interview your company's services and strengths, conduct a "report," and deliver it in a high-quality white paper format. Click here for details: https://ideatech.jp/service/report-pr ■ Company Profile Company Name: IDEATECH Inc. Representative Director and President: Tomoo Ishikawa Location: 3F Daiichi Hoki Building, 2-11-17 Minami Aoyama, Minato-ku, Tokyo 107-0062 Establishment Date: February 2010 Business Activities: ① IDEA Content Business ・Research Data Marketing "Resapy®" ・Report Marketing "Repopy®" ・Thought Leadership Marketing "Hakupy®" ・Column Marketing "Corapy®" ・Q&A Marketing "X-Questions®" ② IDEA PR Business ・PR Strategy Consulting "PR-GROWTH" ・In-house PR Support "IDEA PR houseAI" ・LLMO Strategy Consulting ③ IDEA Marketing Business ④ IDEA Design Business ⑤ IDEA Sales Business (Content Sales®) ⑥ IDEA Solutions Business ⑦ IDEA AI Business ・Generative AI Introduction and Operation Support Training ・Generative AI Training URL: https://ideatech.jp