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.
484 of 2,219
its rank by overall score
Closing balance

Named in

5of 60 answers

by 3 of 4 assistants

Statement note

What this means for CloutScore

AI assistants name this fintech infrastructure company in 8.3% of answers, which is more often than the typical company in its sector at 1.7%. Its overall score is 37 out of 100, ranking 484th of 2,219 companies. Its website passes 1 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned CloutScore by name. AI assistants named it in 5 of the 60 answers. Counting only how often it is named, it ranks 130th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
37Overall score
  • Visibility18
  • Citations2
  • Sentiment80
  • Site quality80
  • AI readiness21
Summary of account
Named by AI in
8.3%
5 of 60 answers
Share of mentions
45.5%
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
152 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

CloutScore came up on 3 of 15 questions. Open any window to read that answer.

  1. 01Pros and cons of cash flow intelligence tools versus standard credit scoring when underwriting freelancers.0/4
  2. 02Are digital income verification tools for freelancers and gig workers typically subscription-based or pay-per-use?0/4
  3. 03Digital income verification vs traditional credit reports for non-W2 applicants—what are the main differences?0/4
  4. 04What should lenders do if a digital income evaluation platform fails to verify a borrower's freelance income?0/4
  5. 05How can lenders assess the financial health of creators and microbusiness owners?0/4
  6. 06Alternatives to traditional credit scores for evaluating the creditworthiness of freelancers and gig workers.0/4
  7. 07What are the best credit scoring platforms for evaluating gig workers and freelancers?3/4
  8. 08What are some non-traditional underwriting solutions for microbusiness owners with digital income sources?1/4
  9. 09Ways CDFIs can leverage financial health intelligence tools to fund creators and non-traditional earners.0/4
  10. 10What factors influence the pricing of credit scoring and financial health intelligence services for fintechs?0/4
  11. 11How can financial institutions use alternative credit scoring to serve borrowers with multiple income streams from digital platforms?0/4
  12. 12Which financial data platforms help lenders make better decisions for applicants without standard W-2 documentation?1/4
  13. 13Is a digital income-based credit scoring platform worth adopting for lenders targeting gig economy workers?0/4
  14. 14Do financial health intelligence solutions improve loan approval rates for microbusiness owners?0/4
  15. 15How can underwriters resolve inconsistencies in gig worker cash flow data during credit assessment?0/4
Total namedOpenAI: 2/15Claude: 0/15Perplexity: 2/15Gemini: 1/15All assistants: 5/60
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

“What are the best credit scoring platforms for evaluating gig workers and freelancers?”

… CloutScore: This platform aims to bridge the gap between the gig economy and the credit system. It helps lenders evaluate the financial health of gig workers, freelancers, creators, and microbusiness owners by ingesting earnings across various platforms (e.g., Uber, Etsy, Shopify) and resolving them into a single verified income record. CloutScore emphasizes direct connections to income platforms via OAuth, minimizing the risk of document fraud.

Bankuish: Bankuish translates gig workers' work history and reputation data into a credit score that banks can understand and accept …

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
    Argyle
    4
  2. 02
    Pinwheel
    1

Share of mentions

CompanyShare
  1. CloutScore
    45.5%
  2. Argyle
    36.4%
  3. Pinwheel
    18.2%
  4. Self Financial (Self Inc.)
    0.0%
  5. Spring Labs (Ky0x Passport)
    0.0%
  6. Atomic
    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
    plaid.com
    14
  2. 02
    stripe.com
    8
  3. 03
    ocrolus.com
    6
  4. 04
    linkedin.com
    6
  5. 05
    fintechspecs.com
    6
  6. 06
    iiste.org
    5
  7. 07
    cloutscore.us (its own website)
    5
  8. 08
    lendflow.com
    4
  9. 09
    crscreditapi.com
    4
  10. 10
    arrofinance.com
    4

CloutScore is in the study as a fintech infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How CloutScore 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
18

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
80

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 financial technology and data companies

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

Overall score
37
Ranks 152 of 574. Typical company: 29
Named in answers
8.3%
Ranks 130 of 574. Typical company: 1.7%
AI readiness
21
Ranks 401 of 574. Typical company: 29
Against its categorySection 08

Compared with fintech infrastructure companies

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

Overall score
37
Ranks 63 of 315. Typical company: 28
Named in answers
8.3%
Ranks 52 of 315. Typical company: 1.7%
AI readiness
21
Ranks 215 of 315. 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. CloutScore 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
0 of 100
  • AI bot rulesNot 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 0 of 100 · 97% of checks could run · checked on October 9, 2026 · cloutscore.us · 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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ShareSection 11

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Overall score 37 of 100 badge for CloutScore

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/cloutscore.us"><img src="https://aeo-audit.rezolve.com/finance/badges/cloutscore.us.svg" alt="Overall score 37 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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