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.

Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder
Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
721 of 2,219
its rank by overall score
Closing balance

Named in

10of 60 answers

by 4 of 4 assistants

Statement note

What this means for Fin Capital

AI assistants name this venture capital firm in 16.7% of answers, much more often than the typical company in its sector at 0.8%. Its overall score is 33 out of 100, ranking 721st of 2,219 companies and 75th within its sector. The website passes 2 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Fin Capital by name. AI assistants named it in 10 of the 60 answers. Counting only how often it is named, it ranks 19th of 238 in its sector. The typical investing and wealth company is named in 0.8% of answers.

Overall score
33Overall score
  • Visibility20
  • Citations0
  • Sentiment75
  • Site quality67
  • AI readiness14
Summary of account
Named by AI in
16.7%
10 of 60 answers
Share of mentions
27.8%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
75 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

Fin Capital came up on 4 of 15 questions. Open any window to read that answer.

  1. 01What are good alternatives to venture capital for funding a B2B technology company serving financial institutions?0/4
  2. 02How do venture capital firms support B2B financial technology startups beyond funding?0/4
  3. 03How do minimum investment requirements vary among venture capital funds focused on fintech and B2B solutions?2/4
  4. 04What should founders look for in a venture capital partner with expertise in financial services technology?0/4
  5. 05What are the top venture capital firms investing in B2B technology for the financial services industry?4/4
  6. 06Which types of B2B fintech solutions are currently attracting the most attention from US venture investors?0/4
  7. 07Is it better to approach an industry-specific investor or a general technology fund for financial services startups?0/4
  8. 08Best ways to find early-stage funding for fintech startups focused on B2B solutions2/4
  9. 09Are specialized venture capital funds for B2B fintech companies worth considering for growth-stage funding?2/4
  10. 10Why do some fintech startups struggle to secure venture capital investment in B2B markets?0/4
  11. 11What types of B2B technology companies are most likely to attract venture capital in the financial services sector?0/4
  12. 12How can a B2B fintech company improve its pitch to attract industry-focused venture capital?0/4
  13. 13Are corporate venture arms or angel investors better alternatives to traditional venture capital for financial services startups?0/4
  14. 14How do sector-focused venture capital firms compare to generalist funds for B2B fintech startups?0/4
  15. 15What are typical management fees and carried interest rates charged by venture capital funds investing in B2B financial services technology?0/4
Total namedOpenAI: 1/15Claude: 3/15Perplexity: 2/15Gemini: 4/15All assistants: 10/60
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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“What are the top venture capital firms investing in B2B technology for the financial services industry?”

Top VC firms for B2B technology serving financial services include:

Fin Capital — A specialist investor focused on companies building the future of financial services, including fintech infrastructure, enterprise software, and compliance technology.

Ribbit Capital — A major fintech-focused investor with a broad portfolio spanning payments, banking, lending, insurance, and financial infrastructure.

a16z (Andreessen Horowitz) — Strong enterprise-software and fintech capabilities, with experience backing large B2B technology companies.

MissionOG — Focuses par …

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
    Ribbit Capital
    5
  2. 02
    QED Investors
    4
  3. 03
    Nyca Partners
    2

Share of mentions

CompanyShare
  1. Fin Capital
    27.8%
  2. Ribbit Capital
    25.0%
  3. Nyca Partners
    19.4%
  4. QED Investors
    19.4%
  5. Anthemis Group
    8.3%
  6. F-Prime 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
    rho.co
    20
  2. 02
    sky9capital.com
    14
  3. 03
    qubit.capital
    12
  4. 04
    angelinvestorsnetwork.com
    9
  5. 05
    linkedin.com
    6
  6. 06
    assets.kpmg.com
    6
  7. 07
    storm2.com
    5
  8. 08
    openvc.app
    5
  9. 09
    fastercapital.com
    5
  10. 10
    waveup.com
    4

Fin 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

Gemini
4/15
Claude
3/15
Perplexity
2/15
OpenAI
1/15
Market comparisonSection 06

How Fin 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
20

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
75

How positively AI describes the company

Site quality
67

How well built the website's own pages are

AI readiness
14

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
33
Ranks 75 of 238. Typical company: 28
Named in answers
16.7%
Ranks 19 of 238. Typical company: 0.8%
AI readiness
14
Ranks 204 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
33
Ranks 15 of 59. Typical company: 26
Named in answers
16.7%
Ranks 3 of 59. Typical company: 0.0%
AI readiness
14
Ranks 50 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. Fin 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.fin.capital · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

2 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%
  • PassedHTTP 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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ShareSection 11

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Overall score 33 of 100 badge for Fin Capital

A badge of this result that you can show on your own website. Copy the code below.

<a href="https://aeo-audit.rezolve.com/us/finance/fin.capital"><img src="https://aeo-audit.rezolve.com/finance/badges/fin.capital.svg" alt="Overall score 33 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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