AI search can influence which vendors enter a Japanese B2B buyer’s consideration set. The useful optimisation target is not a special AI file or a page rewritten for a machine. It is a clear, crawlable and attributable body of evidence that helps both people and retrieval systems answer the buyer’s actual questions.
AI visibility is only useful when the evidence behind the recommendation survives buyer verification.
For a foreign technology company, that evidence includes what the product does for Japan, how a purchase advances, which security or compliance information applies, who supports delivery and what local proof exists.
HOW AI ENTERS THE BUYING PROCESS
AI helps build the shortlist and the comparison
HubSpot Japan’s 2026 survey covered 1,573 people involved in a recent B2B purchase. Among respondents who used generative AI or AI search during information gathering, 50.3% used it to identify candidate products and services, 47.1% to organise differences between companies, 39.2% to build comparison tables and 38.8% to prepare summaries for internal explanation.
That use did not make AI the most trusted information source. Clear pricing, additional costs and contract terms were trusted by 60.6% of respondents, vendor explanations by 59.8% and vendor case studies by 57.0%. AI-generated or AI-summarised information ranked lowest among the ten listed types at 37.8%.
Source and survey scope: HubSpot Japan, State of B2B Buying 2026 ↗
The distinction matters. Discovery and trust are not the same stage. An AI answer may introduce the vendor, but buyers still need sources they can inspect, compare and circulate inside the organisation.
WHAT GOOGLE ACTUALLY RECOMMENDS
No special AI markup replaces useful source material
Google states that the same foundational SEO practices remain relevant for AI Overviews and AI Mode. To be eligible as a supporting link, a page must be indexed, eligible to appear in Search with a snippet and compliant with the normal technical requirements. Google lists no additional technical requirement for these AI features.
Its guidance also says there is no special schema required for AI features and no need to create a new machine-readable AI file. Important content should be available in text, discoverable through internal links and supported by structured data only when that data matches the visible page.
Google’s newer generative-AI guidance places particular emphasis on unique, useful and non-commodity content. It advises against creating many pages for every possible query variation, rewriting specifically for AI systems or pursuing inauthentic mentions.
Official guidance: Google, AI features and your website ↗ · Google, Optimizing for generative AI features ↗
This guidance describes Google Search. It should not be presented as a technical specification for ChatGPT, Perplexity, Claude, Copilot or every other answer system.
THE JAPAN EVIDENCE BOTTLENECK
A system cannot reliably cite what the public journey does not establish
The exploratory JBEI Stage 1 review examined 62 analysable websites selected from one official event source. Twenty had at least a partial Japanese product and use-case explanation, but only 13 exposed a clear Japanese purchase path. Five surfaced substantive security or compliance evidence in the Japanese journey.
| Question an answer must support | Observed evidence | Companies |
|---|---|---|
| What does the product do for Japan? | Japanese product and use-case explanation, including partial | 20 |
| How can the buyer advance? | Clear Japanese purchase path | 13 |
| Which assurance applies? | Security or compliance in the Japanese journey, including partial | 5 |
| Who supports delivery? | Japan-local operations evidence, including partial | 20 |
| What local proof exists? | Japan-specific customer or partner evidence, including partial | 16 |
These counts do not measure AI citations and do not prove that a missing field prevented a recommendation. They identify a source problem: an answer system describing the vendor’s Japan readiness may have little public evidence to retrieve, verify or cite.
Inspect the 62-company working paperWHAT TO IMPROVE FIRST
Build the evidence path before chasing an AI visibility score
- Answer one buyer question per claim. State the product, buyer, use case, availability and next step in language a person can verify.
- Connect Japanese and global evidence. Link relevant trust, security, privacy, legal and documentation pages instead of leaving them isolated from the Japan journey.
- Make responsibility explicit. Identify the entity, partner or team that owns sales, implementation, support and escalation.
- Keep proof attributable. Use stable URLs, visible dates, named sources and enough context to interpret customer outcomes or certifications.
- Preserve crawl and index eligibility. Maintain internal links, canonical URLs, textual content and normal search controls.
- Measure actual answers. Record the prompt, product, date, cited URL and supported claim. Do not compress different assistants and questions into one universal score.
The practical objective is not to persuade every AI system to repeat a marketing statement. It is to give buyers and answer systems a better source from which to produce an accurate, bounded statement.
Use the Japan-ready website checklistINTERPRETATION LIMIT
What this article does not prove
The HubSpot survey reports buying behaviour and information trust; it does not show which website changes caused a sale. Google’s guidance applies to Google Search features and does not define other AI products. JBEI Stage 1 is a selected 62-company frame, not a representative market survey, and it did not measure citation rates. The synthesis defines a testable content strategy; its search, citation and commercial results must be observed separately over time.
SHORT ANSWERS
Frequently asked questions
Do Japanese B2B buyers use AI to find vendors?
Yes, some do. In HubSpot Japan’s 2026 survey, 50.3% of respondents who used generative AI or AI search during information gathering used it to identify candidate products and services.
Does Google require special GEO markup?
No. Google states that there are no additional technical requirements or special schema for appearing as a supporting link in AI Overviews or AI Mode.
Is an llms.txt file enough?
No. Google explicitly says it does not use the file for Google Search. Market Evidence Works maintains one only as an experimental aid for systems that may choose to use it, not as a ranking or citation mechanism.