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

Named in

8of 60 answers

by 4 of 4 assistants

Statement note

What this means for Moody's Analytics

AI assistants name Moody's Analytics in 13.3% of answers, which is much more often than the typical company in its sector at 1.7%. Moody's Analytics has an overall score of 40 out of 100, ranking 241st of 2,219 companies studied. Its website passes 1 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Moody's Analytics by name. AI assistants named it in 8 of the 60 answers. Counting only how often it is named, it ranks 89th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
40Overall score
  • Visibility21
  • Citations0
  • Sentiment85
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
13.3%
8 of 60 answers
Share of mentions
40.0%
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
73 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

Moody's Analytics came up on 4 of 15 questions. Open any window to read that answer.

  1. 01Where can I find comprehensive research on capital markets risk trends?1/4
  2. 02Are third-party credit ratings worth the investment for asset managers?0/4
  3. 03Is it necessary for insurers to use advanced risk analytics solutions?0/4
  4. 04Why are my credit risk model outputs inconsistent across different data sets?0/4
  5. 05Applications of financial data analytics for public sector organizations0/4
  6. 06How can banks address common issues with regulatory compliance reporting?0/4
  7. 07Credit scoring models vs. credit risk analytics platforms—what's the difference?0/4
  8. 08What is the typical pricing structure for enterprise credit analytics platforms?1/4
  9. 09What are the top sources for financial risk research in the US?2/4
  10. 10Best credit risk analytics tools for commercial banks4/4
  11. 11What are some options besides traditional credit risk models for managing lending risk?0/4
  12. 12Alternatives to using external credit rating agencies for portfolio risk assessment0/4
  13. 13How does quantitative risk analysis compare to qualitative risk management in financial institutions?0/4
  14. 14How much do advanced risk assessment tools usually cost for mid-size banks?0/4
  15. 15How do corporations use credit ratings to manage counterparty risk?0/4
Total namedOpenAI: 3/15Claude: 2/15Perplexity: 1/15Gemini: 2/15All assistants: 8/60
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 credit risk analytics tools for commercial banks”

For most commercial banks, the strongest shortlist is Moody’s Analytics, S&P Global Market Intelligence, SAS, FICO, Oracle OFSAA, Wolters Kluwer OneSumX, and nCino/Baker Hill. The best choice depends on whether the priority is commercial underwriting, portfolio and capital analytics, automated decisioning, or end-to-end lending workflow.

Tool · Best for · Key strengths

Moody’s Analytics · Wholesale and commercial credit risk · CreditLens, RiskCalc, PD/LGD/EAD modeling, borrower spreading, portfolio analytics, stress testing; often recommended for commercial-bank le …

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. Moody's Analytics
    40.0%
  2. S&P Global Ratings
    40.0%
  3. Morningstar Credit Ratings
    10.0%
  4. Fitch Ratings
    5.0%
  5. Kroll Bond Rating Agency (KBRA)
    5.0%
  6. DBRS Morningstar
    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
    creditbenchmark.com
    15
  2. 02
    moodys.com
    13
  3. 03
    credolab.com
    10
  4. 04
    iosco.org
    8
  5. 05
    arxiv.org
    6
  6. 06
    financialresearch.gov
    6
  7. 07
    mckinsey.com
    5
  8. 08
    emagia.com
    5
  9. 09
    highradius.com
    5
  10. 10
    metricstream.com
    5

Moody's Analytics is in the study as a market data company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
3/15
Gemini
2/15
Claude
2/15
Perplexity
1/15
Market comparisonSection 06

How Moody's Analytics 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
21

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
85

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
21

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
40
Ranks 73 of 574. Typical company: 29
Named in answers
13.3%
Ranks 89 of 574. Typical company: 1.7%
AI readiness
21
Ranks 401 of 574. Typical company: 29
Against its categorySection 08

Compared with market data companies

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

Overall score
40
Ranks 9 of 37. Typical company: 36
Named in answers
13.3%
Ranks 20 of 37. Typical company: 15.0%
AI readiness
21
Ranks 20 of 37. Typical company: 29
AI readinessSection 09

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.

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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ShareSection 10

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Overall score 40 of 100 badge for Moody's Analytics

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