AEO CITATION AUDIT · AEO引用監査

どのページがAIに引用され、どのページが無視されているかを正確に把握する

Know Exactly Which Pages AI Cites — and Which Ones It Passes Over

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This is for you if

Is this you?

Enterprise technology and SaaS companies with Japanese market operations that have invested in Japanese-language content but have no data on whether that content earns citations in Japanese-language AI responses. The gap between content production and citation performance in Japanese is frequently larger than in English because fewer organisations have tested it systematically.

Financial services, consulting, and professional services firms operating in Japan where credibility and authority are central to client acquisition. When an AI engine generates an answer about a category of service and cites a competitor's page rather than yours, the credibility signal is transferred to that competitor. These firms need to know, at the URL level, where that transfer is happening and how to reclaim the citation.

Manufacturing, industrial, and B2B exporters with complex product and specification pages that should be cited in technical and comparison queries but are structured in ways that AI systems cannot parse effectively. Japanese industrial content is often rich in expertise but formatted for human navigation rather than AI extraction.

Marketing and digital strategy teams within large organisations that are accountable for AI visibility as a performance metric but currently lack the URL-level citation data needed to demonstrate progress, justify investment, or brief content teams on specific priorities. This audit gives those teams the baseline data and the structured output they need.

What's broken

Here's what's blocking your growth

あなたのコンテンツはAIの回答に存在しない。

Japanese-language buyers who ask AI engines which companies provide a specific service, which product specification best fits their requirement, or how two enterprise options compare — they receive AI-generated answers. Those answers cite pages. In the majority of cases, those cited pages do not belong to your domain. Your content team has written the topics. Your SEO programme has built the rankings. But the citation layer — the specific mechanism by which AI engines select which pages to reference when generating answers — has not been addressed. The result is a content investment that is working for traditional search but largely absent from the AI answer layer.

日本語クエリと英語クエリで引用率が異なる。

Most organisations that have begun to think about AI citation have tested their English-language content. They have not tested their Japanese-language pages against Japanese-language queries submitted to AI engines. The citation dynamics are different. The structural requirements for Japanese content to earn citations vary from English. The competitor set behaving most effectively in Japanese AI responses may not be the same competitors you track in English SEO. Without separate testing for Japanese queries, your organisation has an incomplete picture of its actual citation position in the Japanese market.

競合他社がAIの推薦を独占している。

In competitive categories, certain players have established citation dominance in AI-generated answers. When a buyer asks an AI engine about your category in Japanese, the same three or four competitor pages appear repeatedly across multiple engines. This is not random. Those pages have structural characteristics, authority signals, and content formats that AI systems have learnt to treat as reliable sources. Until you have a citation map showing which competitor pages are earning those citations and why, you cannot build a strategy to compete with them.

意思決定のデータがない。

Content teams, digital strategy teams, and marketing leadership in Japanese enterprise organisations are asked to improve AI visibility but given no structured data to work from. Decisions about which pages to update, which topics to address, and which content formats to prioritise are made on assumption or extrapolated from English-market research. The AEO Citation Audit replaces assumption with documented, page-level citation data — the same rigorous, traceable evidence standard that enterprise organisations apply to every other performance metric.

What we engineer

What's included

URL Citation Score Report (Japanese and English)

citation scores for every tested page, broken down by language of query and by AI engine, with raw citation counts and percentage scores per URL

Competitor Citation Comparison Matrix

citation rates and cited URL lists for three competitors, tested against the same query set in both languages, with side-by-side gap mapping

Query-Level Citation Log

complete structured record of every query tested, every AI engine result, and every cited page, formatted for audit trail purposes

Japanese-Language Citation Analysis

separate analysis of citation performance for Japanese-language queries specifically, including patterns specific to Japanese AI response behaviour and structural content factors affecting Japanese-language citation rates

Gap and Opportunity Analysis

documented identification of uncited pages with high citation potential, query categories where competitors are cited and you are not, and content gaps in both languages

Prioritised Roadmap

ranked action list of page fixes and new content, ordered by citation opportunity and implementation effort, with separate tracks for Japanese-language and English-language priorities

Executive Summary (Japanese and English)

bilingual two-page summary formatted for presentation to senior leadership and steering committees

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What changes

Before

After

Before 引用データが意思決定の基盤になる。

After Before the audit, decisions about content investment are made without citation data. After the audit, every content decision for your Japanese market operation can be evaluated against a documented baseline. Which pages have a citation score that suggests they are close to earning more citations with targeted fixes? Which topics require new content because no current page addresses the query category? Which competitor pages have citation rates that make them a priority study target? The data answers these questions at the URL level.

Before Your Japanese-language content investment is validated or redirected.

After Many enterprise organisations have produced substantial volumes of Japanese-language content for SEO purposes. The AEO Citation Audit establishes, for the first time, whether that content is earning citations in Japanese AI responses or whether it is being systematically bypassed. Where it is performing, the audit explains why. Where it is not, the gap analysis identifies the specific structural and content factors that are suppressing citation rates — so your teams can address root causes rather than symptoms.

Before Your competitive intelligence becomes current and specific.

After Understanding that competitors rank well in traditional search is useful but incomplete. Knowing which specific competitor pages are cited for which specific Japanese-language and English-language queries — and which of your own pages those competitor citations are displacing — is actionable intelligence of a different order. The competitor citation mapping gives your strategy team a precise picture of where the competitive disadvantage is located and how significant it is.

Before Your organisation has a repeatable measurement framework.

After The query set, testing methodology, and scoring approach established in this audit are reusable. Future citation performance can be measured against the same baseline, using the same query library, to track improvement over time. Organisations that run quarterly citation audits build a performance trend that demonstrates the impact of content investment in AI visibility terms — a metric increasingly requested at board and executive committee level in Japanese enterprise contexts.

Common questions

Questions

AEO Citation Auditとは何ですか？ (What is an AEO Citation Audit?)

An AEO Citation Audit is a URL-level analysis of how frequently each page on your website is cited in AI-generated answers, tested across five major AI engines and benchmarked against three competitors. It is a structured, documented output with citation scores per URL, a competitor comparison matrix, and a prioritised action roadmap — not a general assessment of AI trends or a broad visibility score. For Japanese market operations, the audit includes separate testing and analysis for Japanese-language queries to reflect the specific citation dynamics of Japanese AI responses.

AI Visibility Auditとどう違いますか？ (How does this differ from an AI Visibility Audit?)

The AI Visibility Audit examines your organisation's overall presence in AI systems — entity recognition, brand associations, domain-level authority, and structured data signals. The AEO Citation Audit operates at a more granular level: it tests specific URLs against specific queries to produce a citation score for every page. The two audits address different questions. The AI Visibility Audit asks how well AI systems understand and recognise your brand. The AEO Citation Audit asks which specific pages are earning citations in AI-generated answers and which are not.

ページ引用スコアとは何ですか？ (What is a page citation score?)

A page citation score is the number of times a specific URL on your site was cited across the full query set and all five AI engines, expressed as a percentage of maximum possible citations for that URL. The scoring accounts for both the number of queries that triggered a citation and the number of engines that cited the page, so that a page cited frequently by one engine and a page cited occasionally by multiple engines receive scores that reflect their actual citation profile. All scores are traceable to the underlying query-by-query testing log.

納品までの期間はどれくらいですか？ (What is the timeline?)

The standard AEO Citation Audit for Japanese market operations is delivered in twelve to sixteen business days. The additional time compared to the standard timeline reflects the bilingual query set build and the separate Japanese-language and English-language testing tracks. The query set is built and submitted for approval in the first four days. Testing and competitor mapping take six to eight days. Analysis, roadmap preparation, and bilingual document preparation take a further three to four days.

費用はいくらですか？ (What does the audit cost?)

The AEO Citation Audit for Japanese market operations, including bilingual query testing and bilingual deliverables, is priced from ¥480,000 for sites with up to 200 tested URLs. Larger URL sets and additional competitor domains are quoted individually. All engagements are fixed-fee. Payment is fifty per cent at engagement and fifty per cent upon delivery of the final roadmap and executive summary.

監査後はどうなりますか？ (What happens after the audit?)

The audit delivers a documented roadmap — implementation is a separate engagement. Many clients engage Ignited Nepal on a structured content improvement programme to work through the roadmap's priority items, including page restructuring, content additions, and new page production in both Japanese and English. Others brief their in-house content teams or existing agency partners using the roadmap as the guiding document. A thirty-day post-delivery review session is included at no additional charge to support implementation planning and answer questions that arise when teams begin acting on the findings.

Our team

The people behind the work

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

Niraj Raut

Founder — Ecommerce SEO

Keshab Joshi

PPC Expert

Hawrry Bhattarai

Google Ads Expert

Arogya Rijal

SaaS SEO Expert

About Us →

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あなたのページは今この瞬間もAIエンジンにテストされています — スコアを把握していますか？

Every quarter that passes without URL-level citation data is a quarter your competitors build citation authority that becomes progressively harder to displace. The AEO Citation Audit gives your organisation the complete, documented picture: every page scored, every competitor mapped, every opportunity ranked — in both Japanese and English.

Run an AI Visibility Audit →

Run an AI Visibility Audit