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

J.G. Wentworth

jgwentworth.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.
857 of 2,219
its rank by overall score
Place in its category
27th of 62 consumer lenders
Closing balance

Named in

5of 60 answers

by 3 of 4 assistants

Statement note

What this means for J.G. Wentworth

AI assistants name this consumer lender in 8.3% of answers, which is more often than the typical company in its sector at 3.3%. Its overall score is 30 out of 100, ranking 857th of 2,219 companies and 49th of 93 in its sector. The website passes 2 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned J.G. Wentworth by name. AI assistants named it in 5 of the 60 answers. Counting only how often it is named, it ranks 28th of 93 in its sector. The typical lending and credit company is named in 3.3% of answers.

Overall score
30Overall score
  • Visibility13
  • Citations3
  • Sentiment50
  • Site quality80
  • AI readiness14
Summary of account
Named by AI in
8.3%
5 of 60 answers
Share of mentions
26.3%
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
49 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

J.G. Wentworth came up on 3 of 15 questions. Open any window to read that answer.

  1. 01How can I access cash quickly from my future annuity payments?1/4
  2. 02What is the difference between selling lottery payment streams and structured settlement payments for a lump sum?0/4
  3. 03What are some alternatives to selling future lottery winnings for a lump sum?0/4
  4. 04Who should consider pre-settlement funding before their court case finishes?0/4
  5. 05What should I do if my structured settlement sale is taking longer than expected?0/4
  6. 06How do debt relief services compare to home equity cashout options for people struggling with debt?0/4
  7. 07When might selling a portion of annuity payments be a good financial strategy?0/4
  8. 08Does using a personal loan make more sense than debt settlement if I need fast cash?0/4
  9. 09How do I resolve issues if I was denied for a debt relief program?1/4
  10. 10Is selling my lawsuit settlement payments for immediate cash worth it?0/4
  11. 11What fees should I expect when using a debt relief service in the US?0/4
  12. 12What other options exist besides structured settlement payment purchasing for getting quick cash?0/4
  13. 13What are the best options for selling structured settlement payments for cash in the US?3/4
  14. 14Are there substitutes for home equity cashout programs if I need to access funds?0/4
  15. 15How are lump sum offers for structured settlement payments calculated?0/4
Total namedOpenAI: 0/15Claude: 1/15Perplexity: 1/15Gemini: 3/15All 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 Claude actually said

An answer that names the company

Claudenamed the company

“What are the best options for selling structured settlement payments for cash in the US?”

I'll search for current information on selling structured settlement payments for cash in the US.Based on the search results, here are the best options for selling structured settlement payments for cash in the US:

Main Companies and Options

Several reputable structured settlement purchasing companies operate in the US, including:

J.G. Wentworth, an American financial services company that purchases structured settlements, annuities, and lottery payments in exchange for a lump-sum cash settlement

Peachtree Financial Solutions

Stone Street Capital

CBC Settlement Funding

Proces …

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
    Stone Street Capital
    2
  2. 02
    DRB Capital
    1
  3. 03
    Fairfield Funding
    1
  4. 04
    Peachtree Financial Solutions
    1

Share of mentions

CompanyShare
  1. J.G. Wentworth
    26.3%
  2. Peachtree Financial Solutions
    26.3%
  3. Stone Street Capital
    21.1%
  4. DRB Capital
    15.8%
  5. Fairfield Funding
    10.5%
  6. Liberty Settlement Funding
    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
    catalinastructuredfunding.com
    29
  2. 02
    annuity.org
    16
  3. 03
    consumerfinance.gov
    13
  4. 04
    bankrate.com
    11
  5. 05
    cnbc.com
    8
  6. 06
    settlementdecisions.com
    8
  7. 07
    jgwentworth.com (its own website)
    7
  8. 08
    en.wikipedia.org
    6
  9. 09
    consumer.ftc.gov
    5
  10. 10
    irs.gov
    5

J.G. Wentworth is in the study as a consumer lender.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
3/15
Claude
1/15
Perplexity
1/15
OpenAI
0/15
Market comparisonSection 06

How J.G. Wentworth 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
13

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
50

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 lending and credit companies

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

Overall score
30
Ranks 49 of 93. Typical company: 31
Named in answers
8.3%
Ranks 28 of 93. Typical company: 3.3%
AI readiness
14
Ranks 76 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
30
Ranks 27 of 62. Typical company: 28
Named in answers
8.3%
Ranks 9 of 62. Typical company: 1.7%
AI readiness
14
Ranks 51 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.

This website turned most of our scan away, so it has no level. Only 47% of the checks could run. That reflects the website’s rules for automated visitors, and an AI agent arriving by itself meets the same rules.

Can an AI agent check out here?

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPCould not check
  • UCPCould not check
Interfaces for AI agents
  • MCP Server CardCould not check
  • A2A Agent CardCould not check
  • Agent SkillsCould not check
  • API CatalogCould not check
  • llms.txtNot present
  • 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 headersCould not check

    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 negotiationCould not check

    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 AuthCould not check

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.3%
APIs, auth and MCP
  • API CatalogCould not check

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryCould not check

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceCould not check

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 5.3%
  • auth.mdCould not check

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardCould not check

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardCould not check

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsCould not check

    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 manifestCould not check

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 50 of 100 · 47% of checks could run · checked on October 9, 2026 · www.jgwentworth.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

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

  • Passedrobots.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%
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

Share this result

Overall score 30 of 100 badge for J.G. Wentworth

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/jgwentworth.com"><img src="https://aeo-audit.rezolve.com/finance/badges/jgwentworth.com.svg" alt="Overall score 30 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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