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.
2,127 of 2,219
its rank by overall score
Place in its category
72nd of 74 private equity firms
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Partners for Growth

AI assistants do not name this private equity firm in any of their 60 answers, while the typical company in its sector is named in 0.8% of answers. Its overall score is 22 out of 100, ranking 2,127th of 2,219 companies. The website passes 1 of 14 technical checks, which measures how ready it is for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Partners for Growth 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
22Overall score
  • Visibility0
  • Citations2
  • Sentiment50
  • Site quality67
  • 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
220 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

Partners for Growth came up on 0 of 15 questions. Open any window to read that answer.

  1. 01How can startup founders address lender concerns when seeking non-dilutive financing solutions?0/4
  2. 02Are there upfront costs or hidden fees involved with non-dilutive debt financing for emergent companies?0/4
  3. 03Why might a rapidly expanding company get turned down for venture debt?0/4
  4. 04How do high-growth companies typically secure flexible debt financing without giving up equity?0/4
  5. 05Top ways for founders to access capital without sacrificing ownership during business scaling phases.0/4
  6. 06How can innovative companies leverage customized debt solutions to capitalize on new growth opportunities?0/4
  7. 07How does revenue-based financing compare to growth-stage venture debt for expanding businesses?0/4
  8. 08What should founders consider before choosing customized debt solutions over equity funding?0/4
  9. 09What typical interest rates and fees should US-based startups expect with growth-stage venture debt?0/4
  10. 10What are alternatives to venture debt for companies that want to avoid equity dilution?0/4
  11. 11Is growth-stage venture debt worth it for a company at an inflection point?0/4
  12. 12What are the best non-dilutive financing options for startups experiencing rapid growth in the US?0/4
  13. 13Which non-bank financing options are suitable for rapidly growing companies outside traditional venture debt?0/4
  14. 14Venture debt financing vs. traditional bank loans for scaling tech companies—what are the main differences?0/4
  15. 15When is it best to use flexible debt financing to support business expansion in the tech sector?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 Claude actually said

The company is not named in this answer

Claudedid not name the company

“What typical interest rates and fees should US-based startups expect with growth-stage venture debt?”

Based on current market conditions, here's what growth-stage US startups should expect for venture debt rates and fees:

Interest Rates

For growth-stage tech companies, total venture debt pricing currently sits in the 7% to 14% range, with rates typically structured as floating instruments. The structure uses SOFR (Secured Overnight Financing Rate) at around 4.5% plus a spread of 6-9%, resulting in all-in rates of 10-13.5%.

Interest rates have shifted from 8-10% in 2022 to 12-15% in 2024-2026, reflecting post-SVB market conditions and increased lender selectivity.

Fees

Venture debt t …

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.

Share of mentions

CompanyShare
  1. Silicon Valley Bank (Venture Debt)
    100.0%
  2. Partners for Growth
    0.0%
  3. Hercules Capital
    0.0%
  4. TriplePoint Capital
    0.0%
  5. Runway Growth Capital
    0.0%
  6. Western Technology Investment (WTI)
    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
    re-cap.com
    22
  2. 02
    qubit.capital
    15
  3. 03
    spectup.com
    10
  4. 04
    linkedin.com
    10
  5. 05
    flowcap.com
    8
  6. 06
    ramp.com
    7
  7. 07
    startupfundraising.com
    6
  8. 08
    angelinvestorsnetwork.com
    6
  9. 09
    pfgrowth.com (its own website)
    6
  10. 10
    growett.com
    5

Partners for Growth is in the study as a private equity 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 Partners for Growth 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
2

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
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
22
Ranks 220 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 private equity firms

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

Overall score
22
Ranks 69 of 74. Typical company: 27
Named in answers
0.0%
Ranks 31 of 74. Typical company: 0.0%
AI readiness
7
Ranks 71 of 74. 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 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. Partners for Growth 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
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
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 25 of 100 · 97% of checks could run · checked on October 9, 2026 · www.pfgrowth.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

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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