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.
336 of 2,219
its rank by overall score
Place in its category
4th of 74 private equity firms
Closing balance

Named in

4of 60 answers

by 3 of 4 assistants

Statement note

What this means for Liquidity

AI assistants name the private equity firm Liquidity in 6.7% of answers, which is more frequent than the typical company in its sector. Liquidity has an overall score of 39 out of 100 and ranks 336th of 2,219 companies. Its website passes 3 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Liquidity by name. AI assistants named it in 4 of the 60 answers. Counting only how often it is named, it ranks 53rd of 238 in its sector. The typical investing and wealth company is named in 0.8% of answers.

Overall score
39Overall score
  • Visibility14
  • Citations1
  • Sentiment100
  • Site quality80
  • AI readiness21
Summary of account
Named by AI in
6.7%
4 of 60 answers
Share of mentions
36.4%
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
29 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

Liquidity came up on 2 of 15 questions. Open any window to read that answer.

  1. 01Private credit platform vs. traditional asset management: which is better for mid-sized enterprises?2/4
  2. 02Non-platform options for tech-enabled business lending in the U.S. market0/4
  3. 03Is it worth switching to an AI-driven business lending solution for middle market companies?0/4
  4. 04Do AI-managed private credit platforms provide better risk assessment than manual processes?0/4
  5. 05How do AI-powered private credit platforms compare to traditional underwriting methods?0/4
  6. 06What are alternatives to AI-driven private credit solutions for accessing business capital?0/4
  7. 07Common issues with AI-powered private credit platforms and how to resolve them0/4
  8. 08What are common use cases for AI-driven lending among large businesses?0/4
  9. 09Most innovative trends in U.S. private credit platforms using artificial intelligence0/4
  10. 10What are the best AI-driven private credit platforms for institutional investors?2/4
  11. 11How do costs of asset intelligence platforms for business lending compare to traditional lenders?0/4
  12. 12Why might an application be denied on a tech-enabled business lending platform?0/4
  13. 13How can institutional investors leverage private credit platforms to diversify portfolios?0/4
  14. 14Which technology-enabled business lending solutions offer the fastest approvals?0/4
  15. 15Typical fees and interest rates charged by AI-powered private credit platforms0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 2/15Gemini: 0/15All assistants: 4/60
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

An answer that names the company

Claudenamed the company

“What are the best AI-driven private credit platforms for institutional investors?”

Based on recent information, here are some of the best AI-driven private credit platforms for institutional investors:

Leading Platforms

Liquidity - Liquidity has been named Best AI-Driven Private Credit Platform 2026 by Wealth and Finance International at the FinTech Awards. The firm has built a proprietary AI system that covers the full credit lifecycle, from origination and underwriting to monitoring and collections, all in one integrated system.

Third Bridge - Third Bridge MCP is an access layer that enables AI tools to retrieve and analyse proprietary expert interview conten …

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
    OnDeck
    4
  2. 02
    Biz2Credit
    1

Share of mentions

CompanyShare
  1. OnDeck
    45.5%
  2. Liquidity
    36.4%
  3. Kabbage by American Express
    9.1%
  4. Biz2Credit
    9.1%
  5. Funding Circle US
    0.0%
  6. Clearco
    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
    crestmontcapital.com
    12
  2. 02
    linkedin.com
    7
  3. 03
    biz2credit.com
    6
  4. 04
    hebbia.com
    6
  5. 05
    neurons-lab.com
    6
  6. 06
    troweprice.com
    5
  7. 07
    pwc.com
    5
  8. 08
    blackrock.com
    5
  9. 09
    privatecreditpulse.substack.com
    4
  10. 10
    marketintelo.com
    4

Liquidity 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

Perplexity
2/15
Claude
1/15
OpenAI
1/15
Gemini
0/15
Market comparisonSection 06

How Liquidity 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
14

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

Citations
1

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

Sentiment
100

How positively AI describes the company

Site quality
80

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
39
Ranks 29 of 238. Typical company: 28
Named in answers
6.7%
Ranks 53 of 238. Typical company: 0.8%
AI readiness
21
Ranks 140 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
39
Ranks 3 of 74. Typical company: 27
Named in answers
6.7%
Ranks 7 of 74. Typical company: 0.0%
AI readiness
21
Ranks 45 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. Liquidity 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.liquidity.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%
  • PassedXML 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%
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

  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

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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ShareSection 12

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Overall score 39 of 100 badge for Liquidity

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/liquidity.com"><img src="https://aeo-audit.rezolve.com/finance/badges/liquidity.com.svg" alt="Overall score 39 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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