AI可視性 / AI Visibility · Japan

AI visibility and LLMO agency Japan — your brand in AI answers in Japanese and English

AI search converts 4.4× better than traditional SEO in Japan. No other agency in Japan offers dedicated LLMO (Large Language Model Optimisation) services. We audit your brand's presence in ChatGPT, Gemini, and Google AI Overviews in both Japanese and English — and build the signals that make AI engines cite your brand.

12 AI engines audited · Japanese + English LLMO · 4.4× AI search converts vs traditional SEO in Japan
This is for you if

Is this the position you're in?

The Japanese founder whose brand isn't in ChatGPT: You asked ChatGPT in Japanese about your industry category. Competitors were named. Your brand was not. You want to understand what determines who gets cited and what it takes to fix it. LLMO (Large Language Model Optimisation) is the answer — and there are very few specialists in Japan who deliver it.

The Japanese manufacturer or enterprise brand: Your company has strong name recognition in Japan, but AI tools are drawing from international sources — Wikipedia, English-language industry publications, international directories. Your Japanese-language entity footprint is incomplete. That gap is showing up in AI answers that favour more internationally documented competitors.

The international brand entering Japan: You are expanding into Japan. Your English-language AI visibility is reasonable, but Japanese buyers use Japanese-language AI tools to research vendors. If your brand has no Japanese entity presence, no Japanese-language direct-answer content, and no Japanese schema — you are invisible to the AI tools your Japanese customers use.

The bilingual marketing lead: You manage digital presence for a Japanese or international brand across Japanese and English channels. You understand that LLMO requires separate work in each language. You want a delivery partner who can handle both — Japanese-language entity building, Japanese-language AIO content, and English-language AI visibility — as one programme.

What's broken

Here's what's blocking your LLMO and AIO performance

No Japanese-language entity footprint

AI models in Japan draw from Japanese-language authoritative sources — Japanese Wikipedia, Japanese business directories, Japanese-language trade publications, and Japanese-language Wikidata records. If your brand's entity documentation exists only in English, Japanese-language AI tools (ChatGPT Japanese, Gemini Japanese, Google AI Overviews Japanese) have an incomplete picture of who you are. Japanese entity footprint requires dedicated, Japanese-language work — not a translation of your English records.

Content not structured for LLMO citation in Japanese

Japanese-language web content tends toward thorough, comprehensive coverage rather than the direct-answer format that AI engines quote. This is a cultural norm in Japanese web writing — but it is a structural problem for LLMO. AI engines need short, direct, quotable answers. Most Japanese business websites, even well-written ones, are not structured this way. Restructuring for LLMO requires understanding both the Japanese content convention and the AI engine requirement.

No AIO (AI Overviews) optimisation

Google AI Overviews (AIO) are active in Japan and appearing on an increasing proportion of Japanese Google searches. AIO requires the same foundations as LLMO — entity authority, direct-answer content, schema — but is calibrated specifically for Google's generative search system. Most Japanese businesses have no AIO-specific work in place. The brands that do are appearing at the top of searches their competitors do not realise are now AI-generated.

No schema in Japanese

Schema markup in Japanese is rare. Most Japanese business websites have no structured data at all — and even those that do rarely include FAQPage, Service, or Organization schema in Japanese-language variants. Without Japanese-language schema, AI engines are guessing at what your business does when someone searches in Japanese. That guess is often wrong, or simply absent.

What we engineer

Six systems that put your brand into AI answers.

AI visibility audit

A 47-point audit across 12 AI engines — ChatGPT, Gemini, Perplexity, Claude, Grok, Google AI Overviews, Microsoft Copilot, and five emerging engines. Delivered in 5 business days. You receive a score, a gap analysis, and a prioritised fix list ordered by impact.

Entity optimisation

We build and verify your brand's entity footprint across Wikipedia, Wikidata, Google Knowledge Graph, Crunchbase, and 20+ industry directories relevant to Nepal and your sector. Consistent, linked, authoritative brand data is what makes AI models trust and cite you.

Answer engineering

We rewrite your key pages — services, about, FAQs — in direct-answer format. Every section is structured to answer the exact questions buyers ask AI engines in your industry. Specific. Quotable. Citable.

Schema markup

Full JSON-LD implementation across your site: FAQPage, HowTo, Article, Organization, and Service schema. We also add LocalBusiness schema with Nepali address data for AI Overviews appearing in local searches. Every type that AI engines use to identify authoritative sources.

AEO content strategy

A content calendar targeting the exact questions your buyers are asking AI tools right now — in English and with awareness of Nepali search context. Monthly content briefs, page-by-page targets, and performance tracking against AI appearance rates.

AI brand monitoring

Monthly tracking of your brand's presence across ChatGPT, Gemini, Perplexity, and Google AI Overviews for your 20 most important tracked queries. Share-of-voice report delivered monthly. You see the trend. You see where competitors are appearing. You see what's working.

What changes

From invisible in Japanese AI answers to the brand that gets cited

Before
After
Before Absent from ChatGPT and Gemini Japanese answers
After You appear in ChatGPT and Gemini Japanese answers — cited in 30–60% of tracked Japanese AI queries within 6 months
Before Japanese AI models can't verify your business
After Consistent Japanese-language brand entity data across 20+ Japanese authoritative sources — Japanese Wikipedia, Japanese Wikidata, sector directories
Before Pages not structured for LLMO citation in Japanese
After Key Japanese-language pages restructured in direct-answer format — quotable by ChatGPT Japanese and Gemini Japanese
Before AIO engines can't read your business clearly in Japanese
After Full Japanese-language schema — FAQPage, Organization, Service, LocalBusiness (JP) with prefecture, city, postal code
Before No Japanese AI share-of-voice visibility
After Monthly bilingual report tracking 20 queries in JP and EN across 12 AI engines — your brand vs Japanese competitors
How it works

From audit to appearing in AI answers — 5 steps.

  1. 01

    AI visibility audit

    Days 1–5

    We run a 47-point audit of your brand's current presence across 12 AI engines. We check entity consistency, content structure, schema coverage, citation profile, and competitor AI share-of-voice. You receive a written report with a score, every gap identified, and a prioritised action plan with estimated impact per fix.

  2. 02

    Entity and citation audit

    Week 2

    We review your brand's presence across 25 authoritative sources — Wikipedia, Wikidata, Crunchbase, Google Knowledge Graph, and sector-specific directories. We identify inconsistencies, missing records, and gaps that prevent AI models from confidently citing your brand.

  3. 03

    Schema and structure

    Weeks 2–4

    We implement or fix JSON-LD schema across your key pages. We also restructure target pages to answer specific questions in direct-answer format. The goal: every important page on your site is readable and quotable by AI engines.

  4. 04

    AEO content

    Months 1–3

    We write and publish pages targeting the exact questions your buyers ask AI engines. Each page has a target query, a direct-answer structure, supporting schema, and internal links. For Nepali businesses, we write in English with local context and terminology.

  5. 05

    Monitor and expand

    Ongoing

    Monthly AI share-of-voice tracking across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews for your 20 tracked queries. We expand to new queries, new product/service areas, and new engines as the category grows.

Evidence

What LLMO and AIO engineering delivers in Japan

Manufacturing Japan

ChatGPT JP 0/15 → 9/15 · ChatGPT EN 0/20 → 11/20

Mid-sized Japanese manufacturer with international customers. Japanese Wikipedia entry created and verified. Japanese Wikidata record built. 12 LLMO-structured product and service pages published in Japanese. Japanese LocalBusiness schema implemented.

Professional Services Tokyo

Google AI Overviews Japan: 0% → 29% in 4 months

Tokyo management consultancy. 14 direct-answer FAQ pages published in Japanese. FAQPage and Service schema implemented in Japanese. Japanese Wikipedia entry created. Google Knowledge Panel verified in Japanese.

International brand entering Japan Japan

First-ever Japanese ChatGPT mention in month 3

UK-based SaaS company expanding into Japan. Japanese entity footprint built from zero. Japanese-language landing pages restructured for LLMO citation. Japanese Wikidata record created. By month 6, brand appeared in 8 of 20 tracked Japanese AI queries.

Common questions

LLMO and AI visibility for Japan — answered directly

What is LLMO?

LLMO stands for Large Language Model Optimisation — the Japan-specific term for the discipline of improving a brand's visibility in AI-generated answers. While English-speaking markets use AEO (Answer Engine Optimisation) or GEO (Generative Engine Optimisation), LLMO is the term used by Japanese practitioners and agencies to describe the same work applied to Japanese-language AI systems — ChatGPT Japanese, Gemini Japanese, and other large language models used in Japan. LLMO requires Japanese-language entity building, Japanese-language direct-answer content, and Japanese-language schema — it is not a translation of English-language AEO work. We are one of the only agencies outside Japan offering dedicated LLMO services, with Japanese-language delivery capability.

How does AI Overviews work differently in Japan?

Google AI Overviews (called AIO in Japan) operates in Japanese and is appearing on an increasing proportion of Japanese Google searches. AIO in Japan follows the same structural logic as AI Overviews globally — it pulls content from pages that directly answer the query, have strong entity authority, and have appropriate schema markup. The difference is that AIO Japan draws from Japanese-language sources. A brand with strong English AI visibility but no Japanese entity footprint or Japanese-language direct-answer content will be invisible in AIO Japan. Optimising for AIO Japan requires a specifically Japanese-language approach — separate from English AIO optimisation.

Why does AI search convert 4.4× better than traditional SEO in Japan?

Japanese buyers who arrive via an AI recommendation have been pre-qualified by a tool they trust. The AI has already answered their research question and named your brand as relevant — so by the time they reach your website, the trust signal has already been delivered. This dynamic is particularly pronounced in Japan, where trust and authority signals carry significant weight in purchasing decisions. The 4.4× figure comes from published Japanese e-commerce and B2B conversion benchmark data from 2025, comparing AI-referred sessions to standard organic sessions for the same brands. Early-mover brands building LLMO visibility now are compounding this conversion advantage as AI search adoption grows in Japan.

What is AIO and how is it different from LLMO?

AIO (AI Overviews Optimisation) is the Japan-specific term for optimising your brand's appearance in Google's AI Overviews. LLMO (Large Language Model Optimisation) is the broader term covering all AI language models — ChatGPT, Gemini, Claude, Perplexity. AIO is a subset of LLMO focused specifically on Google's AI search surface. Both require similar foundations: entity authority, direct-answer content, and schema. We deliver both AIO and LLMO as one integrated programme. Most Japanese businesses need both — Google AI Overviews for reach (Google still dominates Japanese search) and ChatGPT/Gemini LLMO for the growing segment of buyers who research using standalone AI tools.

Can you guarantee my brand appears in ChatGPT Japanese?

No guarantee of specific AI placement is honest. LLM algorithms change continuously and are not fully transparent. What we guarantee is completing all the documented, measurable work that increases your citation probability in Japanese-language AI tools: Japanese entity footprint across 20+ sources, Japanese-language direct-answer content, Japanese schema implementation, and citation building. We track your LLMO performance monthly and report on real data. Typical results: meaningful improvement in Japanese AI appearance rates within 3–5 months.

How do AI engines decide which brands to mention in Japanese?

Japanese-language AI engines cite brands that are consistently documented across Japanese-language authoritative sources — Japanese Wikipedia, Japanese business directories, Japanese-language industry media. A brand with strong English entity data but no Japanese entity data will be cited in English-language AI answers but not in Japanese ones. Japanese-language AI citation requires Japanese-language entity work specifically. The core signal is the same as in any language: consistency — the same accurate information about your brand, repeated across many trusted Japanese-language sources.

How do you measure LLMO performance?

We submit 20 tracked queries in Japanese to ChatGPT (Japanese), Gemini (Japanese), Perplexity, and Google AI Overviews Japan each month, and record whether your brand appears in the response. We also track the same 20 queries in English to measure cross-language performance. We report on brand mention rate, competitor mention rate, position within answers, and month-on-month trend. AI referral traffic from Japanese-language sessions tracked in GA4 separately from English sessions.

Do you have Japanese-language delivery capability?

We work with Japanese-language content specialists for LLMO content creation and Japanese entity building. All Japanese-language content is reviewed by native Japanese speakers before publication. Client-facing reports are delivered in English with Japanese-language query data included. For clients who prefer Japanese-language client communication, we can accommodate that on request.

Our team

The people behind the work

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

Niraj Raut

Niraj Raut

Founder — Ecommerce SEO
Keshab Joshi

Keshab Joshi

PPC Expert
Hawrry Bhattarai

Hawrry Bhattarai

Google Ads Expert
Arogya Rijal

Arogya Rijal

SaaS SEO Expert
Start here

Find out where your brand stands in Japanese AI answers

Our 47-point LLMO and AIO audit checks your brand across ChatGPT Japanese, Gemini Japanese, Perplexity, and Google AI Overviews Japan — and benchmarks you against your Japanese competitors in both languages. You'll know exactly where you stand, where competitors are appearing that you're not, and what to fix first. No other agency in Japan offers a dedicated LLMO audit. Delivered in 5 business days.

5-day turnaround · LLMO + AIO · Japanese + English · No retainer required