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
G

Gatestone

gatestoneco.com

Personal, auto and student lendingLending and credit

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
2,111 of 2,219
its rank by overall score
Place in its category
59th of 62 consumer lenders
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Gatestone

AI assistants do not name this consumer lender in any of their 60 answers, while the typical company in its sector is named in 3.3% of answers. Gatestone has an overall score of 22 out of 100, ranking 2,111th of 2,219 companies. Its website passes 1 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Gatestone by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 56th of 93 in its sector. The typical lending and credit company is named in 3.3% 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
22Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality67
  • AI readiness7
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
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
89 of 93
by overall score, where the typical lending and credit company scores 31

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Line itemsSection 01

Every question, and where the company came up

Gatestone came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Alternatives to online payments for resolving debt collections0/4
  2. 02How do online payment portals help manage overdue bills?0/4
  3. 03What should I do if my payment attempt fails on a debt collection website?0/4
  4. 04Online debt payment platforms vs in-person payment locations — which is more secure?0/4
  5. 05Why am I getting an invalid account number error when trying to pay my debt online?0/4
  6. 06Best payment platforms for resolving outstanding debts quickly0/4
  7. 07How do debt collection payment platforms compare to traditional mail-in payment methods?0/4
  8. 08Are web-based debt payment systems actually safe to use?0/4
  9. 09Can I set up recurring payments for debts through web-based collection systems?0/4
  10. 10What are the easiest ways to pay off a debt online in the US?0/4
  11. 11Are phone payments a good alternative to web-based debt payment sites?0/4
  12. 12How can I pay my debt if I don’t want to use an internet platform?0/4
  13. 13Are there any hidden costs when making debt payments online?0/4
  14. 14Is it worth using an online platform to pay off a debt collector?0/4
  15. 15Do debt payment platforms charge extra fees for online transactions?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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

The company is not named in this answer

Claudedid not name the company

“Best payment platforms for resolving outstanding debts quickly”

I'll search for current information about the best payment platforms for resolving debts quickly.Based on current information, here are the best payment platforms and services for resolving outstanding debts quickly:

Debt Settlement Services

For quick debt resolution, CreditAssociates claims it can resolve your balance in as little as 12 to 48 months, faster than many competitors.

Other notable debt settlement providers include:

CuraDebt, which works with the IRS and state revenue offices to establish payment plans and mitigate penalties

Freedom Debt Relief, noted for customer servic …

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.

Share of mentions

CompanyShare
  1. PayNearMe
    50.0%
  2. Forth (formerly DebtPayGateway)
    50.0%
  3. Gatestone
    0.0%
  4. DebtPayPro
    0.0%
  5. TPG (TPG Bill Pay)
    0.0%
  6. Comply (ComplyARM Payment Portal)
    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
    tratta.io
    11
  2. 02
    consumerfinance.gov
    10
  3. 03
    sourceforge.net
    8
  4. 04
    consumer.ftc.gov
    8
  5. 05
    cnbc.com
    7
  6. 06
    experian.com
    6
  7. 07
    debexpert.com
    5
  8. 08
    incharge.org
    5
  9. 09
    joingerald.com
    4
  10. 10
    debt.org
    4

Gatestone is in the study as a consumer lender.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Gatestone 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
0

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
67

How well built the website's own pages are

AI readiness
7

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 lending and credit companies

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

Overall score
22
Ranks 89 of 93. Typical company: 31
Named in answers
0.0%
Ranks 56 of 93. Typical company: 3.3%
AI readiness
7
Ranks 83 of 93. Typical company: 29
Against its categorySection 08

Compared with consumer lenders

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

Overall score
22
Ranks 59 of 62. Typical company: 28
Named in answers
0.0%
Ranks 34 of 62. Typical company: 1.7%
AI readiness
7
Ranks 56 of 62. 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. Gatestone 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 · gatestoneco.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

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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End of statement
All 2,219 companiesHow we measured this
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