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 and 10, 2026
when the AI assistants were asked
Account no.
2,207 of 2,219
its rank by overall score
Place in its category
61st 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 Concora Credit

AI assistants do not name this consumer lender in any of the 60 answers, while they name companies like Investopedia and NerdWallet. Its overall score is 15 out of 100, ranking 2,207th of 2,219, compared with 31 points for the typical company in its sector. How ready the website is for AI tools could not be measured: the website turned away the study's automated check.

We asked 15 unbranded questions about its market, so no question mentioned Concora Credit 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%
of the mentions of it and its 5 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

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

  1. 01Are podcasts and videos effective alternatives to traditional personal finance books?0/4
  2. 02Personal finance courses vs free online articles—which is better for learning about loans and investments?0/4
  3. 03How can I avoid misinformation when researching financial services online?0/4
  4. 04What are some alternatives to online personal finance courses for self-study?0/4
  5. 05Where can I find free resources for learning about mortgages, investing, and budgeting?0/4
  6. 06What’s the best way to use educational guides to improve investment strategies?0/4
  7. 07How much should I expect to pay for a high-quality personal finance course in the US?0/4
  8. 08What are the best personal finance guides for beginners in the US?0/4
  9. 09Do paid financial planning webinars offer better value than free resources?0/4
  10. 10How can personal finance education help with making decisions about personal loans or retirement planning?0/4
  11. 11Is it worth paying for a comprehensive personal finance education course?0/4
  12. 12What should I do if financial advice articles seem too complex to understand?0/4
  13. 13How do online financial education platforms compare to traditional in-person classes?0/4
  14. 14How can I learn about modern financial services to support long-term money goals?0/4
  15. 15Are there affordable ways to access expert-led guides on modern financial topics?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 OpenAI actually said

The company is not named in this answer

OpenAIdid not name the company

“Personal finance courses vs free online articles—which is better for learning about loans and investments?”

Short answer: both can be useful — choose based on your goals, budget, and learning style. Below is a practical comparison and a simple plan to help you pick.

What each is best for

Free online articles

Best for: quick facts, definitions, current news, and targeted questions (e.g., “what is APR?”).

Strengths: free, fast, lots of perspectives, often up-to-date.

Limitations: variable quality, shallow or fragmented coverage, little structure or accountability, may omit important nuances or assumptions.

Paid personal-finance courses

Best for: structured, comprehensive learning …

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.

Named instead

CompanyTimes named
  1. 01
    Investopedia
    5
  2. 02
    NerdWallet
    2
  3. 03
    Bankrate
    1
  4. 04
    The Balance
    1

Share of mentions

CompanyShare
  1. Investopedia
    37.5%
  2. The Balance
    29.2%
  3. NerdWallet
    25.0%
  4. Bankrate
    8.3%
  5. Concora Credit
    0.0%
  6. Money Crashers
    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
    intuit.com
    8
  2. 02
    ed2go.com
    7
  3. 03
    investopedia.com
    6
  4. 04
    investor.gov
    5
  5. 05
    cfp.net
    4
  6. 06
    arxiv.org
    4
  7. 07
    onlinecourseing.com
    3
  8. 08
    files.consumerfinance.gov
    3
  9. 09
    theknowledgeacademy.com
    3
  10. 10
    cnbc.com
    3

Concora Credit 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 Concora Credit 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 07

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 08

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 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. Concora Credit 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 · myfinanceservice.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

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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