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

EJF Ventures

ejfventures.com

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.
1,058 of 2,219
its rank by overall score
Place in its category
21st of 59 venture capital firms
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for EJF Ventures

AI assistants rarely name this venture capital firm, mentioning it in 1 of 60 answers. QED Investors and Nyca Partners are also named in the same answer. Its overall score is 28 out of 100, which is the same as the typical company in its sector. The website passes 3 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned EJF Ventures by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 98th 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
28Overall score
  • Visibility3
  • Citations0
  • Sentiment50
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
7.1%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
104 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

EJF Ventures came up on 1 of 15 questions. Open any window to read that answer.

  1. 01How do management fees and carry structures work in fintech-focused venture capital funds?0/4
  2. 02What are the top early-stage venture capital firms for B2B fintech startups in the US?0/4
  3. 03Bank technology vs. wealth technology: which sector attracts more early-stage VC funding?0/4
  4. 04Alternatives to traditional venture capital for funding early-stage B2B fintech companies0/4
  5. 05Where can US fintech entrepreneurs find investors interested in mission-critical enterprise finance software?1/4
  6. 06Is working with a VC specializing in financial services infrastructure worth it for a B2B fintech founder?0/4
  7. 07What should founders look for when choosing an early-stage fintech venture capital partner?0/4
  8. 08What are typical equity terms for early-stage venture capital in B2B fintech deals?0/4
  9. 09Which venture funds invest in blockchain infrastructure companies at the seed stage?0/4
  10. 10Common mistakes B2B fintech startups make when pitching to US venture capital investors0/4
  11. 11How can early-stage venture capital accelerate growth for bank technology startups?0/4
  12. 12How does a fintech-focused venture capital firm differ from a generalist VC for early-stage startups?0/4
  13. 13What should a fintech startup do if they keep getting rejected by early-stage venture capital funds?0/4
  14. 14What are non-dilutive funding options for US-based bank technology startups?0/4
  15. 15Ways a venture capital firm can add value to an enterprise-grade fintech company beyond funding0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All assistants: 1/60
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

An answer that names the company

Gemininamed the company

“Where can US fintech entrepreneurs find investors interested in mission-critical enterprise finance software?”

… EJF Ventures

Focus: Early-stage B2B fintech, particularly bank technology, wealth technology, blockchain infrastructure, and other mission-critical enterprise-grade financial services software. They are interested in platforms modernizing critical infrastructure across payments and capital markets.

Customers: Broker-dealers, financial software providers, payment processors.

Value Add: Access to EJF Capital's network of thousands of banks and financial institutions, built over two decades of financial services investing ejfventures.com …

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.

Also named

CompanyTimes named
  1. 01
    QED Investors
    5
  2. 02
    Nyca Partners
    3

Share of mentions

CompanyShare
  1. QED Investors
    50.0%
  2. Nyca Partners
    35.7%
  3. EJF Ventures
    7.1%
  4. FinTech Collective
    7.1%
  5. F Prime Capital (F-Prime Fintech)
    0.0%
  6. Anthemis Group
    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
    rho.co
    18
  2. 02
    qubit.capital
    14
  3. 03
    sky9capital.com
    10
  4. 04
    crv.com
    7
  5. 05
    angelinvestorsnetwork.com
    7
  6. 06
    re-cap.com
    5
  7. 07
    en.wikipedia.org
    5
  8. 08
    vcsheet.com
    4
  9. 09
    startupik.com
    4
  10. 10
    storm2.com
    4

EJF Ventures 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

Gemini
1/15
Claude
0/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How EJF Ventures 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
3

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
87

How well built the website's own pages are

AI readiness
21

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
28
Ranks 104 of 238. Typical company: 28
Named in answers
1.7%
Ranks 98 of 238. Typical company: 0.8%
AI readiness
21
Ranks 140 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
28
Ranks 20 of 59. Typical company: 26
Named in answers
1.7%
Ranks 21 of 59. Typical company: 0.0%
AI readiness
21
Ranks 39 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. EJF Ventures 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
41 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    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
10 of 100
  • API CatalogNot met

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

    study: 1.3%
  • OAuth discoveryPassed

    OpenID Connect or OAuth metadata agents can use to sign in.

    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 20 of 100 · 97% of checks could run · checked on October 9, 2026 · www.ejfventures.com · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

3 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

  • Passedrobots.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%
  • PassedOAuth 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%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 86% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

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End of statement
All 2,219 companiesHow we measured this
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