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

Verisk Analytics

verisk.comVRSK

Fraud, identity and complianceFinancial technology and data

S&P 500

Also in the US AI Visibility Study

Statement period
September 23 and 24, 2026
when the AI assistants were asked
Account no.
673 of 2,219
its rank by overall score
Place in its category
71st of 171 fraud and identity companies
Closing balance

Named in

10of 60 answers

by 4 of 4 assistants

Statement note

What this means for Verisk Analytics

AI assistants name Verisk Analytics in 16.7% of answers, which is much more often than the typical company in its sector at 1.7%. Its overall score is 34 out of 100, placing it 673rd of 2,219 companies in the study. The company's website passes 3 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Verisk Analytics by name. AI assistants named it in 10 of the 60 answers. Counting only how often it is named, it ranks 63rd of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
34Overall score
  • Visibility20
  • Citations3
  • Sentiment50
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
16.7%
10 of 60 answers
Share of mentions
27.0%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
212 of 574
by overall score, where the typical financial technology and data company scores 29

Get the full report on Verisk Analytics as a PDF

Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

Line itemsSection 01

Every question, and where the company came up

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

  1. 01Top solutions for streamlining claims management processes in insurance organizations0/4
  2. 02What is the typical cost range for cloud-based insurance risk analytics platforms in the US?2/4
  3. 03Are advanced risk data analytics platforms worth the investment for midsize insurance companies?0/4
  4. 04Are there transparent pricing models for technology solutions in insurance risk assessment?0/4
  5. 05Pros and cons of predictive analytics vs. rules-based systems for insurance claims analysis0/4
  6. 06Recommended insurance analytics tools tailored for life insurance underwriting in the United States3/4
  7. 07Best practices for using data-driven insights to price property and casualty insurance risk0/4
  8. 08Open-source or third-party solutions for insurance claims data analytics1/4
  9. 09Alternatives to proprietary data-driven risk models for smaller insurance organizations0/4
  10. 10Why might insurance risk scores be inconsistent across different analytics systems?0/4
  11. 11How do catastrophe modeling solutions compare to traditional risk assessment tools in insurance?0/4
  12. 12How to address data integration issues with insurance technology platforms0/4
  13. 13How do I evaluate if enterprise-level insurance analytics solutions are necessary for my agency?0/4
  14. 14How can insurers leverage analytics to improve fraud detection in claims processing?0/4
  15. 15What are the best insurance risk analytics platforms for smarter underwriting decisions?4/4
Total namedOpenAI: 3/15Claude: 3/15Perplexity: 2/15Gemini: 2/15All assistants: 10/60
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

“Recommended insurance analytics tools tailored for life insurance underwriting in the United States”

For life insurance underwriting in the United States, the strongest analytics-tool shortlist from the results is LexisNexis Risk Solutions, Verisk, Moody’s, and SAS, with Deloitte InsureSense as a broader enterprise data/BI option.

LexisNexis Risk Solutions — Best for predictive underwriting, risk scoring, and faster decisioning using broad data assets; its life-insurance offerings emphasize turning data into actionable insights across underwriting, and the company also launched Risk Classifier for supplemental group life underw …

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
    Guidewire
    13
  2. 02
    LexisNexis Risk Solutions
    7

Share of mentions

CompanyShare
  1. Guidewire
    35.1%
  2. Verisk Analytics
    27.0%
  3. LexisNexis Risk Solutions
    18.9%
  4. ISO (Insurance Services Office, part of Verisk competitor Moody's Analytics)
    16.2%
  5. EIS Group
    2.7%
  6. CoreLogic
    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
    moodys.com
    24
  2. 02
    guidewire.com
    23
  3. 03
    sas.com
    15
  4. 04
    verisk.com (its own website)
    15
  5. 05
    risk.lexisnexis.com
    14
  6. 06
    deloitte.com
    8
  7. 07
    improvado.io
    8
  8. 08
    decerto.com
    7
  9. 09
    insuranceinsider.com
    7
  10. 10
    sourceforge.net
    7

Verisk Analytics is in the study as a fraud and identity company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Verisk 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
20

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
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
34
Ranks 212 of 574. Typical company: 29
Named in answers
16.7%
Ranks 63 of 574. Typical company: 1.7%
AI readiness
21
Ranks 401 of 574. Typical company: 29
Against its categorySection 08

Compared with fraud and identity companies

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

Overall score
34
Ranks 71 of 171. Typical company: 30
Named in answers
16.7%
Ranks 15 of 171. Typical company: 1.7%
AI readiness
21
Ranks 133 of 171. Typical company: 36
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. Verisk Analytics 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
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
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
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 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.verisk.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

3 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%
  • PassedXML 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

  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

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.

Take it with you

Get the full report on Verisk Analytics as a PDF

Every number on this page in a PDF you can keep and share with your team. Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

ShareSection 12

Share this result

Overall score 34 of 100 badge for Verisk Analytics

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/verisk.com"><img src="https://aeo-audit.rezolve.com/finance/badges/verisk.com.svg" alt="Overall score 34 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
Next step

Want AI assistants to name your company?

Book a 30-minute demo to see Rezolve Ai in action and what it can do for your business.

Request a demo