The verdict in three sentences
A venture capital firm in Tokyo is now discovered in two ways: by founders searching Google for 'シード VC 東京' or 'seed VC Tokyo SaaS', and by founders asking AI assistants like ChatGPT for a list of funds that lead seed rounds. SEO remains the foundation, because AI assistants draw heavily on indexed, clear pages, but AEO/GEO decides whether your fund shows up in those answers, and with an accurate cheque size and thesis. The choice depends on your situation and is measured through Search Console and submissions received on one side and a dated record of AI answers on the other, with no serious provider promising a recommendation.
Two audiences, two families of questions
Japanese founders, like foreign founders setting up in Japan, ask AI assistants in plain language: 'Which Tokyo funds lead seed rounds in B2B SaaS?', 'Which Japanese VCs invest in foreign founders?', 'What is the typical Series A cheque for this fund?'. LPs check the team, track record and strategy, but soliciting investors for a fund is regulated under the Financial Instruments and Exchange Act (FIEA), supervised by the FSA: public content stays factual. Data from the pitch submission form falls under the APPI, overseen by the PPC. This is not legal advice.
| Question type | Who asks | What the answer draws on | Risk if your fund is missing or misdescribed |
|---|---|---|---|
| Funds by stage and sector | Japanese founder | Thesis pages, press articles | Decks going to a competitor |
| Funds open to foreign founders | Foreign founder | English content, directories | Total absence if the site is Japanese only |
| Cheque size and role in the round | Series A founder | Portfolio pages, announcements | Outdated cheque size taken from an old source |
| Partner profiles | Founder, co-investor | Team pages, interviews | A departed partner still cited |
| Portfolio support | Founder doing reverse due diligence | Platform pages, case studies | Image of a purely financial fund |
| Reputation and track record | LP, co-investor | Press, databases | Unverifiable or contradictory facts |
SEO and AEO/GEO side by side, in yen and dollars
| Dimension | SEO | AEO/GEO |
|---|---|---|
| Goal | Positions on Japanese and English queries | Presence and accuracy in AI answers |
| Time to effect | 4 to 9 months | Read over 3 to 6 months of records |
| Market budget (2026 ballpark) | JPY 300,000 to 1,200,000 a month, about USD 2,000 to 8,000 | Audit JPY 500,000 to 1,500,000 (about USD 3,300 to 10,000), monitoring JPY 200,000 to 600,000 a month (about USD 1,300 to 4,000) |
| Metrics | Impressions, clicks, qualified submissions | Mention rate, accuracy of cheque size and thesis |
| Weak spot | Slow on contested queries | Answers vary from day to day |
These amounts reflect typical Tokyo agency quotes and public agency rate pages, converted approximately at around JPY 150 to USD 1.
Where the money should go for your situation
| Your situation | Priority | Reason |
|---|---|---|
| First-time fund, little-known brand | SEO first | Without indexed pages, AI assistants have nothing reliable to cite |
| Established fund, name already searched | Stronger AEO | The issue is no longer visibility but the accuracy of the description |
| Thesis aimed at foreign founders | English content, then AEO in English | English answers rely on English-language sources |
| Corporate venture capital arm | AEO on the distinction from the parent | AI assistants often confuse the fund with the group |
| Limited budget | One-off diagnostic, then targeted SEO | Ten precise pages beat a scattered blog |
| Raising from LPs | Factual content, no public performance figures | Solicitation rules apply |
Measuring without fooling yourself
On the SEO side, Search Console shows which queries bring visits and your CRM shows how many submissions follow. A fund getting more visits without more relevant decks is probably attracting the wrong audience.
On the AEO side, the reliable measure is a dated record: the same 20 to 30 questions, in Japanese and English, asked every month, with the answer archived, whether the fund is mentioned, whether the cheque size, stage and partners are accurate, and which sources are cited. One month's swing proves nothing, only the trend over a quarter counts.
What a diagnostic looks at
A diagnostic takes a snapshot of current AI answers in both languages, lists the facts published about your fund (site, press, databases, partner profiles) and their contradictions, assesses real search demand, and flags content that compliance should approve. It ends with a costed recommendation on how to split the budget, on quote.
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Mini case study
Illustrative example: Shibuya Bridge Ventures, a fictional fund, has an annual budget of JPY 9,000,000, about USD 60,000. The team allocates 55% to SEO, JPY 4,950,000 (about USD 33,000), and 45% to AEO, JPY 4,050,000 (about USD 27,000). The initial record covers 25 questions in 2 languages, 50 answers in all: the fund appears in 6, or 12%, all in Japanese and none in English. For a thesis aimed at foreign founders, English content becomes the priority.
FAQ
Is SEO still enough for a fund in Tokyo?
It remains the foundation, since AI assistants rely largely on indexed pages. But a fund missing from 88% of the answers to its key questions loses decks without knowing it.
What budget should we plan in Tokyo?
As a 2026 ballpark, JPY 300,000 to 1,200,000 a month for SEO, about USD 2,000 to 8,000. An AEO audit costs about USD 3,300 to 10,000.
How long before we can measure an effect?
Allow 4 to 9 months for SEO and 3 to 6 months of records to read an AEO trend. AI answers vary too much to judge on a single month.
Should we publish fund performance to get cited?
No, and it is risky under solicitation rules. The thesis, stage, cheque size and portfolio are enough to answer the questions founders actually ask.
Can an agency guarantee that AI assistants cite our fund?
No, no serious provider promises a recommendation. What can be measured is how the mention rate and accuracy evolve on a fixed panel of 20 to 30 questions.
Find out how AI assistants describe your firm. A record of 25 questions in Japanese and English shows what AI assistants say about your thesis, cheque size and partners. Request a diagnostic quote: reply within 48 hours.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
