LANY Inc. publishes the 'BtoB LLMO Guidebook', summarizing AI search countermeasures for BtoB companies.
LANY Inc. has released a free guidebook for BtoB companies to address 'silent decision-making' in the era of generative AI search, explaining approaches to get services recommended by AI.
📋 Article Processing Timeline
- 📰 Published: April 7, 2026 at 19:00
- 🔍 Collected: April 7, 2026 at 10:32
- 🤖 AI Analyzed: April 20, 2026 at 23:51 (325h 19m after Collected)
LANY Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Keita Takeuchi) has released the "BtoB LLMO Guidebook," a document summarizing AI search countermeasures for BtoB companies.
In 2026, with an increasing trend of business professionals incorporating generative AI into their operations, the impact of generative AI in the BtoB sector is expanding. In fact, as of February 2026, 21% of the awareness channels of users who inquired with LANY were "via generative AI," making it an undeniable presence, especially in BtoB marketing.
This document organizes in one volume the concepts and approaches to create a state where your own services are appropriately recommended in AI searches within the BtoB sector.
▶︎ Download the document here
BtoB LLMO Guidebook
## 1. Background of releasing the "BtoB LLMO Guidebook"
BtoB products are often evaluated while comparing prices, features, and implementation conditions, making it an area where generative AI is easily used to assist in organizing and comparing information. In recent years, cases of generative AI being utilized not only for information gathering but also in the service selection phase are increasing.
On the other hand, relying solely on traditional measures premised on nurturing after acquiring inquiries may increase cases where you fail to be included as a candidate in the early stages of comparative evaluation.
The "THE Model" type flow in BtoB marketing, which is "acquiring leads, and converting them into business negotiations through nurturing (customer cultivation)," assumes the existence of contact points with the customer.
However, with generative AI becoming an auxiliary tool for comparative evaluation, there is a concern that it accelerates "silent decision-making," where customers derive their own answers through dialogue with AI and narrow down candidates before ever having the "first contact point" of an inquiry.
In 2026, with an increasing trend of business professionals incorporating generative AI into their operations, the impact of generative AI in the BtoB sector is expanding. In fact, as of February 2026, 21% of the awareness channels of users who inquired with LANY were "via generative AI," making it an undeniable presence, especially in BtoB marketing.
This document organizes in one volume the concepts and approaches to create a state where your own services are appropriately recommended in AI searches within the BtoB sector.
▶︎ Download the document here
BtoB LLMO Guidebook
## 1. Background of releasing the "BtoB LLMO Guidebook"
BtoB products are often evaluated while comparing prices, features, and implementation conditions, making it an area where generative AI is easily used to assist in organizing and comparing information. In recent years, cases of generative AI being utilized not only for information gathering but also in the service selection phase are increasing.
On the other hand, relying solely on traditional measures premised on nurturing after acquiring inquiries may increase cases where you fail to be included as a candidate in the early stages of comparative evaluation.
The "THE Model" type flow in BtoB marketing, which is "acquiring leads, and converting them into business negotiations through nurturing (customer cultivation)," assumes the existence of contact points with the customer.
However, with generative AI becoming an auxiliary tool for comparative evaluation, there is a concern that it accelerates "silent decision-making," where customers derive their own answers through dialogue with AI and narrow down candidates before ever having the "first contact point" of an inquiry.