[AKARUMI Survey] How Does AI Select B2B Companies? The Importance of LLMO/AIO Strategy
ipe Inc. released a report analyzing 300 prompts to understand how generative AI selects B2B services, highlighting key information design strategies to improve AI visibility (LLMO optimization).
📋 Article Processing Timeline
- 📰 Published: May 27, 2026 at 02:37
- 🔍 Collected: May 26, 2026 at 18:01
- 🤖 AI Analyzed: May 26, 2026 at 19:38 (1h 36m after Collected)
ipe Inc. has analyzed the response tendencies of generative AI and AI search in the B2B domain, revealing key characteristics of information likely to be referenced by AI and offering strategic insights into LLMO (Large Language Model Optimization) and AIO (AI Optimization) for B2B companies.
This research utilized the LLMO analysis tool 'AKARUMI' to examine generative AI responses and source data across 300 prompts related to B2B support companies and services. Detailed findings, charts, and observations are available on the AKARUMI official website.
## Why 'AI Visibility' Matters for B2B
The adoption of generative AI and AI-powered search is shifting B2B information gathering habits. In B2B purchasing, comparison and internal sharing often occur before contacting a sales representative. Consequently, it is no longer enough to just appear in search results; companies must ensure AI understands 'what kind of company/service' they are and correctly identifies them within relevant comparison contexts.
## Survey Overview
Methodology: Used the 'AKARUMI' analysis tool to evaluate generative AI responses to 300 prompts.
Focus Areas: Trends in citation sources, page structures favored by AI, citation patterns for comparison/pricing articles, and how brand/service names are represented.
## Key Findings
1. It is vital to optimize not only official corporate websites but also information on third-party media and comparison platforms.
2. AI is more likely to reference content necessary for decision-making, such as 'how-to' guides, pricing, and failure cases, rather than just 'recommendation' lists.
3. Effective B2B LLMO strategies require information design that ensures the company is correctly interpreted within the context of comparison and selection.
## About AKARUMI
'AKARUMI' is a tool designed to visualize how a brand is mentioned within major LLMs. It quantifies previously 'black-boxed' AI evaluations, enabling evidence-based LLMO strategies.
This research utilized the LLMO analysis tool 'AKARUMI' to examine generative AI responses and source data across 300 prompts related to B2B support companies and services. Detailed findings, charts, and observations are available on the AKARUMI official website.
## Why 'AI Visibility' Matters for B2B
The adoption of generative AI and AI-powered search is shifting B2B information gathering habits. In B2B purchasing, comparison and internal sharing often occur before contacting a sales representative. Consequently, it is no longer enough to just appear in search results; companies must ensure AI understands 'what kind of company/service' they are and correctly identifies them within relevant comparison contexts.
## Survey Overview
Methodology: Used the 'AKARUMI' analysis tool to evaluate generative AI responses to 300 prompts.
Focus Areas: Trends in citation sources, page structures favored by AI, citation patterns for comparison/pricing articles, and how brand/service names are represented.
## Key Findings
1. It is vital to optimize not only official corporate websites but also information on third-party media and comparison platforms.
2. AI is more likely to reference content necessary for decision-making, such as 'how-to' guides, pricing, and failure cases, rather than just 'recommendation' lists.
3. Effective B2B LLMO strategies require information design that ensures the company is correctly interpreted within the context of comparison and selection.
## About AKARUMI
'AKARUMI' is a tool designed to visualize how a brand is mentioned within major LLMs. It quantifies previously 'black-boxed' AI evaluations, enabling evidence-based LLMO strategies.
FAQ
What is LLMO/AIO strategy?
The practice of structuring and optimizing website information to ensure a company's services are cited and mentioned as reliable sources in AI-generated responses.
Why is LLMO strategy necessary for B2B companies?
Because B2B buyers increasingly rely on AI for initial research and comparison before contacting a sales representative, making the AI's assessment critical to business success.
What type of information do AI models prefer?
Beyond simple company profiles, models prefer actionable information that supports the decision-making process, such as selection criteria, cost estimates, competitive differences, and failure analysis.