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GEO Visibility is the practice of building the citation signals that cause AI engines to name your brand when answering questions in your category. In Japan, this work is frequently discussed under the LLMO (Large Language Model Optimisation) umbrella — the two terms describe overlapping practices with the same core objective: ensuring that large language models recognise and cite your brand as an authoritative source in your field. Our programme addresses both the source-authority layer (which publications and databases AI engines draw from) and the content-structure layer (how content must be written and marked up to be extracted and cited by AI engines).

GEO Visibility targets AI-generated answers; SEO targets search engine ranking pages. The signals AI engines use to evaluate citation authority are different from the signals search engines use to rank pages. SEO prioritises backlink profiles, keyword relevance, and technical crawlability. GEO Visibility prioritises citation source coverage — the specific publications, directories, knowledge bases, and structured data records that AI engines draw from when constructing answers — and content structure that supports direct extraction. A company can rank at the top of Japanese Google search results and still be entirely absent from AI-generated vendor lists, because the systems producing each result are operating on different signals.

AEO focuses on structuring content to appear in specific question-answer formats — featured snippets, voice assistant responses, People Also Ask results. GEO Visibility works at a broader level: it builds the entity recognition and topical authority that causes AI engines to associate your brand with an entire category, not just individual questions. GEO also involves substantial off-page work — Wikipedia, Wikidata, publication placements, directory entries — that AEO does not typically address. In the Japanese enterprise context, this entity recognition layer is particularly important because AI engines use Wikidata and Wikipedia Japan extensively to resolve company identity and categorical associations.

Initial measurable citation improvements — your brand beginning to appear in responses where it was previously absent — typically occur within 60 to 90 days of beginning authority source building work. Consistent citation across priority query clusters generally takes four to six months. For Japanese enterprise categories, which tend to have more concentrated authority source landscapes, the timeline can be somewhat faster once key placements are secured. The citation presence built in the first six months compounds over the following 12 to 24 months as AI engines reinforce established citation patterns.

GEO Visibility programmes for the Japanese market are priced based on category competitiveness, the number of languages and AI engines monitored, and the scope of authority source building required. Programmes typically range from ¥300,000 to ¥750,000 per month. A standalone GEO Audit — covering the citation landscape map, gap analysis, and programme scope recommendation — is available starting from ¥120,000. We scope each ongoing programme after the audit is complete and present a structured proposal with clear deliverables and measurement commitments before any ongoing engagement begins.

Success is measured by three primary metrics tracked monthly. Brand citation rate: the percentage of tested industry queries across all monitored AI engines (in both Japanese and English) in which your brand is named. Share-of-voice: your citation frequency relative to named competitors across the same query set. Query cluster expansion: the number of distinct topic areas in which your brand is now cited compared to the baseline audit. Secondary indicators include growth in the number of authoritative Japanese and international sources referencing your brand, and any correlated increases in branded search volume or direct traffic. Monthly reports are formatted for clarity and precision, with trend charts and a clear narrative for executive review.