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
XL

XTen Lend

xtenlend.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.
2,217 of 2,219
its rank by overall score
Place in its category
62nd 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 XTen Lend

AI assistants do not name this consumer lender in any of their 60 answers. Its overall score is 15 out of 100, ranking 2,217th of 2,219. How ready its website is for AI tools could not be measured, as the website turned away the study's automated check.

We asked 15 unbranded questions about its market, so no question mentioned XTen Lend 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
15Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality33
  • AI readiness0
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
no answer named it or its 0 peers
AI readiness
n/a
the website turned our check away
Rank in its sector
91 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

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

  1. 01Which is better for investing: purchasing expired domains or premium domains?0/4
  2. 02What are some alternatives to parking a domain if you're not ready to build a site?0/4
  3. 03What should I do if my domain unexpectedly shows a parked page?0/4
  4. 04What are common reasons people park web domains instead of using them for active websites?0/4
  5. 05How do domain forwarding services compare to domain parking for managing unused domains?0/4
  6. 06Domain parking vs website hosting—what's the main difference?0/4
  7. 07How do parked domains generate revenue for domain owners?0/4
  8. 08When should someone consider parking a domain instead of building a site right away?0/4
  9. 09What factors affect the price of acquiring a parked domain in the US?0/4
  10. 10How can domain parking help protect a business or personal brand?0/4
  11. 11What are the most popular types of domain parking services in the US?0/4
  12. 12Is it worth buying a parked domain if you want a specific web address?0/4
  13. 13Why am I seeing ads when navigating to certain parked domains?0/4
  14. 14Are domains listed as 'parked' usually available for purchase?0/4
  15. 15Are there additional fees for purchasing domains through domain parking platforms?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.

PayeesSection 02

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. XTen Lend
    0.0%
ReferrersSection 03

Websites the AI used as sources

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

  1. 01
    godaddy.com
    13
  2. 02
    ionos.com
    12
  3. 03
    domaindetails.com
    12
  4. 04
    wix.com
    9
  5. 05
    name.com
    8
  6. 06
    bluehost.com
    8
  7. 07
    networksolutions.com
    7
  8. 08
    register.domains
    7
  9. 09
    kinsta.com
    5
  10. 10
    dynadot.com
    5

XTen Lend is in the study as a consumer lender.

By assistantSection 04

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 05

How XTen Lend 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
33

How well built the website's own pages are

AI readiness
0

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 06

Compared with lending and credit companies

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

Overall score
15
Ranks 91 of 93. Typical company: 31
Named in answers
0.0%
Ranks 56 of 93. Typical company: 3.3%
AI readiness
0
Ranks 90 of 93. Typical company: 29
Against its categorySection 07

Compared with consumer lenders

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

Overall score
15
Ranks 61 of 62. Typical company: 28
Named in answers
0.0%
Ranks 34 of 62. Typical company: 1.7%
AI readiness
0
Ranks 61 of 62. Typical company: 29
AI agentsSection 08

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. XTen Lend 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
25 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPartly 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 31 of 100 · 97% of checks could run · checked on October 9, 2026 · xtenlend.com · 2,200 companies scanned

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

AI readinessSection 09

The checks behind the AI readiness score

AI readiness could not be measured. The website turned away our automated check, so none of the 14 checks could run. That reflects the website’s rules for automated visitors, not what the website contains.

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End of statement
All 2,219 companiesHow we measured this
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