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

Named in

5of 60 answers

by 4 of 4 assistants

Statement note

What this means for LoanPro

AI assistants name this fintech infrastructure company in 8.3% of answers, much more often than the typical company in its sector at 1.7%. It has an overall score of 45 out of 100, ranking 60th of 2,219 overall and 20th of 574 in its sector. Its website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned LoanPro 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
45Overall score
  • Visibility14
  • Citations8
  • Sentiment100
  • Site quality93
  • AI readiness43
Summary of account
Named by AI in
8.3%
5 of 60 answers
Share of mentions
29.4%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
20 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

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

  1. 01Best routes for lenders seeking alternatives to cloud-based loan servicing solutions1/4
  2. 02Is it worth investing in a cloud-based loan management system for midsize lenders?0/4
  3. 03What should lenders consider when choosing a lending platform for rapid growth and automation?0/4
  4. 04How much does it cost to implement an enterprise-grade loan servicing software in the US?0/4
  5. 05Alternatives to API-first loan management software for scaling loan portfolios0/4
  6. 06How does a unified lending and credit platform compare to using separate systems for origination, servicing, payments, and collections?0/4
  7. 07Typical pricing models for loan management platforms designed for banks and credit unions0/4
  8. 08What are the key benefits of switching to a modern, composable loan servicing platform?0/4
  9. 09How can lenders address issues with inflexible or hard-coded legacy lending software?0/4
  10. 10API-first vs legacy loan management systems: which is more scalable for financial institutions?0/4
  11. 11Ways financial institutions leverage credit platform APIs to streamline borrower onboarding0/4
  12. 12How do lenders use loan management software to support multiple loan product types on one platform?0/4
  13. 13What can cause automation breakdowns in modern credit and loan management platforms?0/4
  14. 14What are the top features to look for in a modern loan management software platform for large lenders?0/4
  15. 15Best loan servicing solutions for automating the entire lending lifecycle in the US4/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 1/15Gemini: 2/15All 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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“Best loan servicing solutions for automating the entire lending lifecycle in the US”

For a US lender seeking end-to-end lending automation—from application and underwriting through servicing, collections, and reporting, the strongest shortlist is:

Solution · Best fit · Why consider it

LoanPro · Fintechs, consumer lenders, and embedded-lending programs · Flexible API-first loan management, automated payments, interest, delinquency workflows, borrower communications, and portfolio operations. Loan servicing typically includes payment processing, balance calculations, escrow, collections, and compliance reporting.

TurnKey Lender · Lenders w …

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
    TurnKey Lender
    4

Share of mentions

CompanyShare
  1. TurnKey Lender
    35.3%
  2. LoanPro
    29.4%
  3. LoanPro
    29.4%
  4. defi SOLUTIONS
    5.9%
  5. LoanCirrus
    0.0%
  6. OpenClose
    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
    hesfintech.com
    24
  2. 02
    nortridge.com
    21
  3. 03
    loanpro.io (its own website)
    20
  4. 04
    vergentlms.com
    12
  5. 05
    linkedin.com
    10
  6. 06
    lendfoundry.com
    9
  7. 07
    finantrix.com
    5
  8. 08
    lendflow.com
    5
  9. 09
    guideflow.com
    5
  10. 10
    softwareadvice.com
    4

LoanPro 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
2/15
Claude
1/15
OpenAI
1/15
Perplexity
1/15
Market comparisonSection 06

How LoanPro 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
8

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

Sentiment
100

How positively AI describes the company

Site quality
93

How well built the website's own pages are

AI readiness
43

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
45
Ranks 20 of 574. Typical company: 29
Named in answers
8.3%
Ranks 130 of 574. Typical company: 1.7%
AI readiness
43
Ranks 29 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
45
Ranks 9 of 315. Typical company: 28
Named in answers
8.3%
Ranks 52 of 315. Typical company: 1.7%
AI readiness
43
Ranks 17 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. LoanPro 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.txtPublished
  • 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
50 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtPassed

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

    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 36 of 100 · 97% of checks could run · checked on October 9, 2026 · www.loanpro.io · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

4 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%
  • Passedllms.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

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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 45 of 100 badge for LoanPro

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/loanpro.io"><img src="https://aeo-audit.rezolve.com/finance/badges/loanpro.io.svg" alt="Overall score 45 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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