Of 60 answers

The most named companies in the study, and S&P 500 financials, with how many of their 60 AI answers named them.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

Onigiri Capital

onigiri.vc

Venture capital and growth investorsInvesting and wealth

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
2,061 of 2,219
its rank by overall score
Place in its category
52nd of 59 venture capital firms
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Onigiri Capital

AI assistants do not name this venture capital firm in any of their 60 answers, while the typical company in its sector is named in 0.8% of answers. It has an overall score of 23 out of 100, ranking 2,061st of 2,219. Its website passes 1 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Onigiri Capital by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 120th of 238 in its sector. The typical investing and wealth company is named in 0.8% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
23Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality73
  • AI readiness7
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
214 of 238
by overall score, where the typical investing and wealth company scores 28

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Line itemsSection 01

Every question, and where the company came up

Onigiri Capital came up on 0 of 15 questions. Open any window to read that answer.

  1. 01How do traditional venture capital firms compare with blockchain-focused venture capital firms in terms of support for fintech startups?0/4
  2. 02What are common challenges when pitching a blockchain finance startup to a venture capital firm?0/4
  3. 03What services beyond capital do blockchain venture capital firms typically provide to institutional fintech startups?0/4
  4. 04Is it worth seeking funding from specialist blockchain VC firms for a startup targeting institutional adoption?0/4
  5. 05What are alternatives to traditional venture capital for blockchain fintech startups raising capital?0/4
  6. 06How can startups overcome due diligence hurdles when seeking investment from blockchain venture capital firms?0/4
  7. 07How do minimum investment amounts compare between blockchain-focused venture capital and general tech VC funds?0/4
  8. 08Best ways for blockchain fintech founders to connect with investors specializing in financial innovation0/4
  9. 09Are there non-dilutive funding options for startups in the blockchain financial sector?0/4
  10. 10What other types of investors are active in the institutional blockchain finance space besides venture capital firms?0/4
  11. 11What are the top venture capital firms investing in blockchain startups focused on institutional finance?0/4
  12. 12Blockchain startup accelerators vs. venture capital funds: which is better for early-stage fundraising?0/4
  13. 13Are blockchain-focused venture capital firms a good fit for pre-seed fintech startups?0/4
  14. 14How can venture capital funding accelerate cross-border financial infrastructure projects in blockchain?0/4
  15. 15What are the typical management fees and performance fees charged by blockchain venture capital funds in the US?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. Across the study, on 50% of the questions where a company is named, only one AI assistant names it.

Transaction detailSection 02

What Gemini actually said

The company is not named in this answer

Geminidid not name the company

“How do traditional venture capital firms compare with blockchain-focused venture capital firms in terms of support for fintech startups?”

Traditional venture capital (VC) firms and blockchain-focused VC firms both provide crucial capital and strategic support to fintech startups, but they differ in their areas of specialization, investment models, and the specific expertise they offer.

Traditional VC Firms Supporting Fintech:

Broad Fintech Focus: Traditional VC firms investing in fintech often have a broader scope, looking at various aspects of financial technology, including digital banking, payments, lending, insurance, and regulatory technology (RegTech).

Established Players: Many well-known traditional …

The AI’s answer as we received it, shortened and not checked for accuracy.

PayeesSection 03

Where the mentions went

The companies these answers named, and how the mentions were split between this company and its peers.

Named instead

CompanyTimes named
  1. 01
    Pantera Capital
    3
  2. 02
    Blockchain Capital
    3
  3. 03
    CoinFund
    2
  4. 04
    Polychain Capital
    2

Share of mentions

CompanyShare
  1. Pantera Capital
    31.6%
  2. Blockchain Capital
    21.1%
  3. Digital Currency Group (DCG)
    21.1%
  4. Polychain Capital
    15.8%
  5. CoinFund
    10.5%
  6. Onigiri Capital
    0.0%
ReferrersSection 04

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    qubit.capital
    32
  2. 02
    rho.co
    11
  3. 03
    cryptofundresearch.com
    7
  4. 04
    startupik.com
    7
  5. 05
    growthequityinterviewguide.com
    7
  6. 06
    linkedin.com
    7
  7. 07
    sky9capital.com
    6
  8. 08
    cryptoslate.com
    4
  9. 09
    think10capital.com
    4
  10. 10
    binance.com
    3

Onigiri Capital is in the study as a venture capital firm.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
0/15
Gemini
0/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How Onigiri Capital compares with all 2,219 companies

Every tower is a company in the study, taller for a higher overall score and lit where AI assistants named it. Its own group stays lit. Hover a tower to see it, and click to open it.

What makes up the score

Each part is scored out of 100.

Visibility
0

How often AI assistants name the company, and how that compares with its peers

Citations
0

How often AI uses the company's own website as a source

Sentiment
50

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
7

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Against its sectorSection 07

Compared with investing and wealth companies

238 companies in this sector. The gold tick on each bar is the typical company.

Overall score
23
Ranks 214 of 238. Typical company: 28
Named in answers
0.0%
Ranks 120 of 238. Typical company: 0.8%
AI readiness
7
Ranks 219 of 238. Typical company: 29
Against its categorySection 08

Compared with venture capital firms

59 companies in this category. The gold tick on each bar is the typical company.

Overall score
23
Ranks 50 of 59. Typical company: 26
Named in answers
0.0%
Ranks 25 of 59. Typical company: 0.0%
AI readiness
7
Ranks 54 of 59. Typical company: 29
AI agentsSection 09

Ready for AI agents

What this website publishes for an AI agent to read, use and pay through, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. Onigiri Capital publishes none of the agent payment protocols we look for. An agent would have to click through the website like a person.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
0 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    study: 86.1%
  • SitemapNot met

    Serve an XML sitemap and reference it from robots.txt.

    study: 87.9%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 31.0%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 92.7%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 2.3%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.3%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 5.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 1.0%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 0.0%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 7 of 100 · 97% of checks could run · checked on October 9, 2026 · www.onigiri.vc · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

1 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks

Discoverability

  • Not metrobots.txt publishedstudy: 85.1%
  • Not metXML sitemapstudy: 79.4%
  • Not metHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Not metllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • Not metOAuth Authorization Server discoverystudy: 5.2%
  • Not metOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • Not metAgent Skills declaredstudy: 0.1%
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End of statement
All 2,219 companiesHow we measured this
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