LLMO PROMPT INTELLIGENCE · LLMOプロンプト情報

貴社のマーケットでAIが何を回答しているか、完全に把握していますか

AI Visibility for the Japanese Enterprise Market — Know Every Prompt Your Buyers Are Asking

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/ This is for you if

WHO THIS IS FOR

LLMO Prompt Intelligence for the Japanese market is designed for enterprise organisations and their strategic partners operating at scale.

The first client profile is the large Japanese enterprise — a manufacturer, a logistics company, a financial institution, a technology vendor — whose marketing and communications functions are beginning to receive internal requests from senior leadership about "AI search strategy" but whose existing teams lack the methodological tools to respond with anything more rigorous than a pilot content project. These organisations need an evidence base, not a hypothesis. They need a deliverable that can be presented to a managing director or a board committee as a credible strategic intelligence output.

The second client profile is the foreign multinational operating in the Japanese market. For these organisations, the challenge is compounded: their brand may earn strong AI citations in English-language LLM responses but be largely absent from Japanese-language responses, where a different set of local competitors and different content signals determine citation patterns. Understanding the Japanese-language prompt landscape is a distinct research task that requires native-language query construction and cross-LLM testing in Japanese, not a translated version of an English-language audit.

The third client profile is the enterprise technology vendor — SaaS, infrastructure, professional services platform — competing for IT procurement decisions in Japan. Procurement in Japanese enterprise typically involves extended evaluation cycles and multiple stakeholders. An AI citation during the early awareness or comparison stage of that cycle can significantly shape the vendor shortlist before a formal RFP is issued.

The fourth client profile is the Japanese subsidiary of a global brand that has received a directive from its global headquarters to align local LLMO strategy with a broader AI visibility programme. These teams need a locally grounded prompt intelligence deliverable that feeds into a global framework without simply replicating the global output in a language other than English.

/ What's broken

WHAT'S BROKEN

Enterprise organisations in Japan face a specific set of structural gaps when it comes to AI prompt visibility — gaps that general LLMO tools and English-language audits do not address.

The first and most consequential gap is the absence of Japanese-language prompt mapping. Most existing LLMO frameworks and tools were built for English-language markets. When applied to Japan, they produce prompt libraries that reflect how English-speaking users phrase questions to AI systems — not how Japanese procurement managers, research analysts, or category buyers phrase those questions in Japanese. The structural differences are significant: Japanese-language prompts often embed more contextual framing, use industry-specific terminology that has no direct English equivalent, and reflect a more formal register than conversational English queries. An LLMO programme that ignores Japanese-language prompts is mapping half the landscape at best.

The second gap is a misreading of LLM citation behaviour in the Japanese market.

The LLMs that dominate AI search in Japan — and the ways in which Japanese-language queries produce different citation patterns than English-language queries on the same LLMs — are not well understood outside of organisations that have tested this systematically. A brand that appears prominently in ChatGPT English responses may receive no citation at all when the equivalent question is asked in Japanese. This asymmetry is commercially material and is currently invisible to most enterprise marketing functions.

The third gap is the lack of a structured competitive citation picture in Japanese-language AI environments.

Enterprises operating in Japan understand their competitive landscape in traditional media, in search, and in trade publications. They have far less visibility into which competitors are being cited by AI systems when Japanese buyers ask relevant questions — and critically, what signals appear to be driving those citations. The competitive intelligence gap is wider in Japanese-language LLMO than in almost any other AI visibility domain.

The fourth gap is the absence of a prioritised, actionable output.

Japanese enterprise teams are, in Ignited Nepal's experience, well-organised and execution-focused once a clear brief exists. The obstacle is not execution capacity — it is the absence of a properly scoped, prioritised prompt library that tells the content, SEO, and communications teams exactly where to focus. Without that library, effort disperses across too many potential targets and produces no measurable citation movement.

/ What we engineer

WHAT WE DO

Each workstream is built by the team that audits it, and wired into the rest of your growth system.

Bilingual Category Prompt Inventory

A library of 100 or more prompts covering both Japanese-language and English-language queries in your market category. Japanese-language prompts are constructed by native speakers with subject-matter knowledge of your industry, not by machine translation. Every prompt is documented with its Japanese phrasing, English equivalent, intent class, and the LLM environments in which it is most commonly active.

Enterprise Intent Classification

Each prompt is classified across the enterprise buying cycle — awareness and category education, vendor comparison and evaluation, procurement-stage recommendation requests, and brand-specific due diligence queries. The classification reflects the longer, more structured decision cycles typical of Japanese enterprise procurement.

Cross-LLM Japanese and English Citation Testing

Every prompt is tested in its Japanese form and, where relevant, its English form, across ChatGPT, Perplexity, Google Gemini, Claude, and Bing Copilot. Results are documented separately by language, revealing the citation asymmetries that are common in the Japanese market and that global audits routinely miss.

Citation Opportunity Score (日本語・英語両対応)

A numerical Citation Opportunity Index score for each prompt, calculated from citation frequency, achievability, and commercial value — applied separately to Japanese-language and English-language prompt contexts to reflect the genuinely different competitive environments.

Competitor Citation Analysis — Japanese Market

For the highest-scoring prompts, a structured analysis of which competitors — including Japanese local competitors and global players with strong Japanese-language digital presence — are being cited, with analysis of the probable signals driving those citations in the Japanese LLM environment.

Ranked Prompt Library and Implementation Brief

The complete ranked library, tiered by Citation Opportunity Index score, with a per-tier implementation brief written in both Japanese and English, specifying the content types, authority signals, and publication strategies most likely to produce citation movement in the Japanese enterprise AI visibility landscape.

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/ What changes

WHAT CHANGES

Before
After
BeforeFor Japanese enterprise organisations that complete LLMO Prompt Intelligence, four transformations occur that are distinct from the changes produced by general AI visibility work.
AfterThe first transformation is a complete and accurate picture of the Japanese-language prompt landscape — something that does not exist anywhere in the organisation before the engagement. Enterprise teams that have previously operated on the assumption that their English-language AI visibility approximates their Japanese-language position discover, in many cases, a substantial divergence. Understanding this divergence is the precondition for addressing it.
BeforeThe second transformation is the emergence of a cross-functional AI visibility brief that can coordinate the efforts of marketing, digital, corporate communications, and investor relations teams.
AfterIn Japanese enterprise, LLMO citations draw on signals from multiple departments — published thought leadership, media coverage, academic partnerships, standards body participation, and technical documentation. The ranked prompt library gives cross-functional teams a single reference point that aligns their respective contributions toward a common citation goal.
BeforeThe third transformation is a grounded competitive intelligence picture.
AfterEnterprise organisations that complete the engagement typically discover two things: competitors they had not considered serious AI visibility threats are receiving consistent citations in the Japanese-language LLM environment, and certain prompts where they had assumed competitive strength are in fact uncovered. This intelligence recalibrates the competitive strategy in a way that anecdotal observation of AI outputs cannot achieve.
BeforeThe fourth transformation is the creation of a measurable, reportable AI visibility baseline.
AfterEnterprise organisations need to demonstrate progress to senior leadership. A ranked prompt library with Citation Opportunity Index scores for each prompt provides the baseline against which monthly citation tracking can be reported — a structured, credible metric that supports the business case for ongoing LLMO investment.

/ Common questions

FAQ

Straight answers on scope, timelines and cost. Anything else, ask us directly.

Ask us directly
LLMOプロンプト情報とは何ですか。What is LLMO Prompt Intelligence?

LLMO Prompt Intelligence is a structured research methodology that identifies, categorises, and scores the specific prompts — conversational questions — that large language models use to form recommendations and citations in your market category. For Japanese enterprise organisations, the methodology covers both Japanese-language and English-language prompt environments, because LLM citation patterns in Japanese are demonstrably different from those in English and require separate mapping and testing.

従来のキーワードリサーチとどう違いますか。How is this different from keyword research?

Keyword research measures the volume of terms entered into traditional search engines. LLMO Prompt Intelligence maps the conversational questions that users pose to AI systems — questions that are typically longer, more contextual, and often entirely absent from keyword tools because they lack sufficient Google search volume to appear in keyword data. In the Japanese enterprise market, the structural difference is particularly significant: Japanese-language prompts posed to AI systems often embed contextual and role-based framing that has no keyword equivalent, and the citation patterns they produce bear no reliable relationship to the brand's performance in traditional Japanese search.

どのようなプロンプトが高い機会スコアを得ますか。What makes a prompt high-opportunity?

A prompt achieves a high Citation Opportunity Index score when three conditions align: LLMs already engage actively with the topic and produce named citations (indicating the prompt type is citation-active in the LLM environment), the competitors currently cited are not so entrenched that a challenger cannot achieve citation within a reasonable timeframe, and the commercial intent of the prompt is high enough that a citation at that point in the buyer's journey is genuinely valuable. For Japanese enterprise clients, the commercial value weighting reflects the B2B procurement cycle — prompts that appear at the comparison and late-evaluation stages typically score highest.

どれくらいの期間がかかりますか。What is the timeline?

The standard LLMO Prompt Intelligence engagement for the Japanese market runs over four to five weeks, reflecting the additional complexity of bilingual prompt construction and cross-language citation testing. Japanese-language prompt mining and LLM probing are conducted in the first two weeks. Cross-LLM citation testing in both languages, competitor citation mapping, and scoring are completed in weeks three and four. The ranked prompt library and bilingual implementation brief are delivered in week five, accompanied by a delivery session conducted in your preferred language.

費用はどれくらいですか。What is the cost?

LLMO Prompt Intelligence for the Japanese enterprise market is priced from ¥650,000 for a single-category engagement covering 100+ bilingual prompts and the full five-step process. Multi-category and multi-market engagements, ongoing monthly prompt monitoring, and integration with broader AI visibility programmes are scoped separately. All pricing is confirmed in writing before work commences, with no variable or post-delivery charges.

成果物をどのように活用しますか。How is the output used?

The Ranked Prompt Library and implementation brief are structured for direct use by enterprise content, digital marketing, corporate communications, and SEO teams. Tier 1 prompts function as an immediate content and digital PR commissioning brief. The bilingual implementation notes specify the content formats, authority signals, and publication channels most relevant to the Japanese enterprise market for each tier. Many enterprise clients also use the prompt library as the foundation for their AI visibility reporting to leadership — tracking citation movement for Tier 1 prompts on a quarterly basis and presenting results in the same structured format as traditional SEO performance reports.

/ Our team

The people behind the work.

Not a black box. Real specialists you can call, with their names on the work.

About us
Hawrry Bhattarai

Hawrry Bhattarai

Google Ads Expert

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CLOSING CTA

Enterprise buyers in Japan are already using AI systems to inform vendor decisions. The brands that appear in those AI-generated recommendations are not there by chance — they are there because they have, deliberately or otherwise, accumulated the content and authority signals that LLMs draw on when forming recommendations. LLMO Prompt Intelligence from Ignited Nepal gives your organisation the systematic intelligence to pursue those citations with precision.

The Japanese-language prompt landscape in your category is being shaped now. The question is which enterprise brands will earn the citations.
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