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

Small Business Financial Exchange

sbfe.org

Market data, ratings and exchangesFinancial technology and data

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
279 of 2,219
its rank by overall score
Place in its category
13th of 37 market data companies
Closing balance

Named in

24of 60 answers

by 4 of 4 assistants

Statement note

What this means for Small Business Financial Exchange

AI assistants name Small Business Financial Exchange in 40% of answers, much more often than the typical company in its sector, which is named in 1.7%. Its overall score is 39 out of 100, ranking 279th of 2,219 companies in the study. The website passes 2 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Small Business Financial Exchange by name. AI assistants named it in 24 of the 60 answers. Counting only how often it is named, it ranks 12th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
39Overall score
  • Visibility34
  • Citations3
  • Sentiment63
  • Site quality80
  • AI readiness14
Summary of account
Named by AI in
40.0%
24 of 60 answers
Share of mentions
25.3%
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
94 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

Small Business Financial Exchange came up on 13 of 15 questions. Open any window to read that answer.

  1. 01How do U.S. financial institutions access reliable small business credit information?2/4
  2. 02What are the best sources for small business credit data for lenders in the US?4/4
  3. 03How much does access to a US small business credit data exchange typically cost for financial institutions?3/4
  4. 04How do lenders use aggregated small business credit data to inform lending decisions?1/4
  5. 05What are common ways credit bureaus utilize centralized small business financial data in the US?2/4
  6. 06How does a centralized small business credit data exchange compare to proprietary lender databases?3/4
  7. 07What are some non-traditional data sources lenders can use to assess small business creditworthiness in the US?0/4
  8. 08Are there industry associations or government sources that provide small business credit insights aside from data exchanges?1/4
  9. 09Is it worth it for lenders to participate in a small business credit data exchange?3/4
  10. 10What alternatives exist for lenders seeking small business credit data without using a centralized exchange?1/4
  11. 11What are the differences between public business credit registries and data exchanges for small business lending?1/4
  12. 12How can lenders resolve discrepancies in small business credit information obtained through data sharing platforms?1/4
  13. 13What should a financial institution do if small business credit records seem incomplete or outdated in a data exchange?1/4
  14. 14Do small business lenders get better risk insights from joining a data exchange versus using only internal data?1/4
  15. 15What factors influence pricing for participation in a small business credit information platform?0/4
Total namedOpenAI: 1/15Claude: 8/15Perplexity: 4/15Gemini: 11/15All assistants: 24/60
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

“How does a centralized small business credit data exchange compare to proprietary lender databases?”

Centralized small business credit data exchanges, like the Small Business Financial Exchange (SBFE), differ from proprietary lender databases in their structure, data aggregation, access, and impact on the lending ecosystem.

Centralized Small Business Credit Data Exchanges (e.g., SBFE)

Centralized exchanges act as a neutral repository for small business credit information, operating on a "give-to-get" model where members contribute data to gain access to aggregated insights nav.com.

Key Characteristics:

Data Ag …

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
    Dun & Bradstreet
    10
  2. 02
    Equifax Small Business
    1

Share of mentions

CompanyShare
  1. Small Business Financial Exchange
    25.3%
  2. Experian Business Credit Services
    22.1%
  3. Equifax Small Business
    20.0%
  4. Dun & Bradstreet
    18.9%
  5. LexisNexis Risk Solutions (Small Business Risk Insights)
    10.5%
  6. CreditSafe USA
    3.2%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    nav.com
    11
  2. 02
    experian.com
    10
  3. 03
    risk.lexisnexis.com
    9
  4. 04
    lendflow.com
    9
  5. 05
    files.consumerfinance.gov
    8
  6. 06
    fedsmallbusiness.org
    8
  7. 07
    ramp.com
    8
  8. 08
    withhansa.com
    8
  9. 09
    consumerfinance.gov
    7
  10. 10
    sbfe.org (its own website)
    7

Small Business Financial Exchange is in the study as a market data company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
11/15
Claude
8/15
Perplexity
4/15
OpenAI
1/15
Market comparisonSection 06

How Small Business Financial Exchange 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
34

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

Citations
3

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

Sentiment
63

How positively AI describes the company

Site quality
80

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 financial technology and data companies

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

Overall score
39
Ranks 94 of 574. Typical company: 29
Named in answers
40.0%
Ranks 12 of 574. Typical company: 1.7%
AI readiness
14
Ranks 504 of 574. Typical company: 29
Against its categorySection 08

Compared with market data companies

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

Overall score
39
Ranks 13 of 37. Typical company: 36
Named in answers
40.0%
Ranks 7 of 37. Typical company: 15.0%
AI readiness
14
Ranks 30 of 37. 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. Small Business Financial Exchange 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.sbfe.org · 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

Share this result

Overall score 39 of 100 badge for Small Business Financial Exchange

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/sbfe.org"><img src="https://aeo-audit.rezolve.com/finance/badges/sbfe.org.svg" alt="Overall score 39 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
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