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
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Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

TriplePoint Capital

triplepointcapital.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.
2,173 of 2,219
its rank by overall score
Place in its category
59th 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 TriplePoint Capital

AI assistants do not name this venture capital firm in any of the 60 answers reviewed. Its overall score is 21 out of 100, ranking 2,173rd of 2,219 companies, while the typical company in its sector scores 28. Its website currently passes 0 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned TriplePoint 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
21Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality67
  • AI readiness0
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
no answer named it or its 5 peers
AI readiness
0/14
technical checks passed. Typical for its sector: 4
Rank in its sector
231 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

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

  1. 01What are some alternatives to equity financing for scaling a business?0/4
  2. 02Where can founders find non-bank lenders for business expansion?0/4
  3. 03How do I know if non-dilutive financing is right for my business?0/4
  4. 04What should I do if I missed a payment on my business loan?0/4
  5. 05What are common scenarios where companies seek debt financing over equity?0/4
  6. 06What are typical interest rates and fees for venture debt in the United States?0/4
  7. 07How can a small business secure capital without giving up equity?0/4
  8. 08What are the best financing options for startups in the United States?0/4
  9. 09How can non-dilutive funding be used to extend runway for a tech startup?0/4
  10. 10Why might a startup get denied for a loan or alternative funding?0/4
  11. 11Is venture debt a good option for growth-stage startups?0/4
  12. 12What other funding sources exist for startups besides venture funds and banks?0/4
  13. 13Are there upfront costs associated with securing growth capital loans?0/4
  14. 14What are the main differences between venture debt and traditional bank loans?0/4
  15. 15How does revenue-based financing compare to convertible notes for early-stage companies?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.

PayeesSection 02

Where the mentions went

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

Share of mentions

CompanyShare
  1. TriplePoint Capital
    0.0%
  2. Hercules Capital
    0.0%
  3. Silicon Valley Bank (SVB) Venture Debt
    0.0%
  4. Runway Growth Capital
    0.0%
  5. Western Technology Investment (WTI)
    0.0%
  6. Bridge Bank Venture Lending
    0.0%
ReferrersSection 03

Websites the AI used as sources

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

  1. 01
    crestmontcapital.com
    9
  2. 02
    re-cap.com
    8
  3. 03
    linkedin.com
    6
  4. 04
    ramp.com
    6
  5. 05
    joinarc.com
    5
  6. 06
    a16z.com
    5
  7. 07
    angelinvestorsnetwork.com
    4
  8. 08
    biz2credit.com
    4
  9. 09
    stripe.com
    3
  10. 10
    creditforstartups.com
    3

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

By assistantSection 04

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 05

How TriplePoint 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
67

How well built the website's own pages are

AI readiness
0

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 06

Compared with investing and wealth companies

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

Overall score
21
Ranks 231 of 238. Typical company: 28
Named in answers
0.0%
Ranks 120 of 238. Typical company: 0.8%
AI readiness
0
Ranks 235 of 238. Typical company: 29
Against its categorySection 07

Compared with venture capital firms

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

Overall score
21
Ranks 57 of 59. Typical company: 26
Named in answers
0.0%
Ranks 25 of 59. Typical company: 0.0%
AI readiness
0
Ranks 59 of 59. Typical company: 29
AI agentsSection 08

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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Can an AI agent check out here?

Not by itself. TriplePoint 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.txtPublished
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
77 of 100
  • robots.txtPassed

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

    study: 86.1%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced 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
25 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPartly 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
18 of 100
  • API CatalogNot met

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

    study: 1.3%
  • OAuth discoveryPartly met

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

    study: 6.3%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

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

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

AI readinessSection 09

The checks behind the AI readiness score

0 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%
  • Not metToken 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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