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

Loopfour

loopfour.ai

Banking and fintech infrastructureFinancial technology and data

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
892 of 2,219
its rank by overall score
Place in its category
123rd of 315 fintech infrastructure companies
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for Loopfour

AI assistants rarely name this fintech infrastructure company in their answers: 1 out of 60 answers. Others named include BlackLine and Workiva. Its overall score is 30 out of 100, ranking 892nd of 2,219 studied companies. The company’s website passes 9 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Loopfour by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 267th of 574 in its sector. The typical financial technology and data company is named in 1.7% 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
30Overall score
  • Visibility2
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness64
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
3.6%
of the mentions of it and its 5 peers
AI readiness
9/14
technical checks passed. Typical for its sector: 4
Rank in its sector
253 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

Loopfour came up on 1 of 15 questions. Open any window to read that answer.

  1. 01How do code-based finance automation solutions compare to black-box AI tools for accounting teams?0/4
  2. 02Alternatives to deterministic workflow automation for finance teams seeking audit transparency?0/4
  3. 03What are the best finance workflow automation tools for audit compliance?0/4
  4. 04How can finance teams automate monthly financial close while maintaining audit trails?1/4
  5. 05Is investing in auditable finance workflow software worth it for mid-sized companies?0/4
  6. 06Deterministic vs. AI-driven automation for finance workflows: what's safer for audits?0/4
  7. 07What other ways can companies automate finance operations without relying on large AI models?0/4
  8. 08What is the typical cost of finance workflow automation software with audit controls in the US?0/4
  9. 09Which finance automation platforms support AR, close, and revenue recognition workflows effectively?0/4
  10. 10Are there affordable solutions for automating SOX-compliant finance processes?0/4
  11. 11Why does my AR automation workflow fail audit reviews?0/4
  12. 12What are practical examples of automating approval workflows in accounting processes?0/4
  13. 13Which automation tools offer logging and approvals for every finance workflow run?0/4
  14. 14Common issues when automating revenue recognition processes in finance systems?0/4
  15. 15Will using audit-friendly automation solutions help reduce compliance risk?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All assistants: 1/60
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 can finance teams automate monthly financial close while maintaining audit trails?”

… Map the Current Close: Begin by thoroughly documenting existing processes, including owners, inputs, approvals, dependencies, exceptions, and evidence locations blog.loopfour.ai.

Prioritize Deterministic Tasks: Automate tasks in descending order of determinism. Start with activities where the same inputs consistently yield the same accounting treatment under predefined rules codebridge.tech.

Focus on High-Volume Reconciliations: Target …

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
    BlackLine
    8
  2. 02
    Workiva
    6
  3. 03
    FloQast
    5
  4. 04
    Trintech
    3

Share of mentions

CompanyShare
  1. BlackLine
    35.7%
  2. Workiva
    25.0%
  3. FloQast
    25.0%
  4. Trintech
    10.7%
  5. Loopfour
    3.6%
  6. Redwood Software
    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
    hubifi.com
    8
  2. 02
    highradius.com
    7
  3. 03
    trullion.com
    6
  4. 04
    ramp.com
    6
  5. 05
    rillet.com
    5
  6. 06
    monday.com
    5
  7. 07
    tabs.com
    5
  8. 08
    sysgenpro.com
    4
  9. 09
    vero-ai.com
    4
  10. 10
    linkedin.com
    4

Loopfour 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

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

How Loopfour 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
2

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
80

How well built the website's own pages are

AI readiness
64

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
30
Ranks 253 of 574. Typical company: 29
Named in answers
1.7%
Ranks 267 of 574. Typical company: 1.7%
AI readiness
64
Ranks 3 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
30
Ranks 117 of 315. Typical company: 28
Named in answers
1.7%
Ranks 123 of 315. Typical company: 1.7%
AI readiness
64
Ranks 2 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 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. Loopfour 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 CatalogPublished
  • llms.txtPublished
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
100 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 headersPassed

    HTTP Link headers on the homepage that point agents at machine readable resources.

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
100 of 100
  • Markdown negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    study: 31.0%
Bot access control
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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
17 of 100
  • API CatalogPassed

    A linkset at /.well-known/api-catalog listing APIs, specs and docs.

    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 65 of 100 · 97% of checks could run · checked on October 9, 2026 · loopfour.ai · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

9 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%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • PassedMarkdown content negotiationstudy: 7.4%
  • Passedllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • PassedExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • PassedAPI 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%
  • PassedWebMCP toolsstudy: 0.3%
  • Not metAgent Skills declaredstudy: 0.1%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets rules for 14 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*partly
  • ClaudeBot*partly
  • Anthropic-AIpartly
  • Google-Extended*partly
  • Applebot-Extended*partly
  • Meta-ExternalAgent*partly
  • FacebookBotpartly
  • Bytespider*partly
  • CCBot*partly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBot*partly
  • Claude-SearchBot*partly
  • PerplexityBot*partly
  • Applebotpartly
  • Amazonbot*partly
  • YouBotpartly

Answering questions

  • ChatGPT-User*partly
  • Claude-User*partly
  • Perplexity-User*partly
  • 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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End of statement
All 2,219 companiesHow we measured this
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