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
September 23 to 30, 2026
when the AI assistants were asked
Account no.
523 of 2,219
its rank by overall score
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for Everest Group

AI assistants rarely name this commercial insurer or broker, mentioning it in 1 of 60 answers. They name Munich Re, Swiss Re, and Hannover Re in the same answer. The company has an overall score of 37 out of 100, ranking 523rd of 2,219 in the study, with 2 of 14 technical checks on its website passed for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Everest Group by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 41st of 97 in its sector. The typical insurer is named in 1.7% 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
37Overall score
  • Visibility5
  • Citations0
  • Sentiment100
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
16.7%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
18 of 97
by overall score, where the typical insurer scores 28

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Line itemsSection 01

Every question, and where the company came up

Everest Group came up on 1 of 15 questions. Open any window to read that answer.

  1. 01Where can U.S.-based companies find expert advice on international insurance policies?0/4
  2. 02Global insurance policies vs. regional insurance coverage—what are the key pros and cons?0/4
  3. 03How does reinsurance differ from traditional direct insurance for business risk management?0/4
  4. 04How do reinsurance solutions help manage catastrophic risk in the manufacturing sector?0/4
  5. 05What are alternatives to traditional reinsurance for large-scale risk sharing?0/4
  6. 06What factors influence the cost of global business insurance in the United States?0/4
  7. 07Which non-insurance options are available to organizations looking to transfer global risk?0/4
  8. 08How do premiums for reinsurance arrangements compare to standard business insurance rates?0/4
  9. 09Which reinsurance solutions are most comprehensive for large organizations?1/4
  10. 10What are the best global insurance providers for multinational businesses?0/4
  11. 11What types of protection are available for businesses with operations in multiple countries?0/4
  12. 12How can an organization resolve disputes in international reinsurance contracts?0/4
  13. 13What steps should a business take if a global insurance claim is denied?0/4
  14. 14Is it worth investing in worldwide insurance coverage for a growing company?0/4
  15. 15Should organizations prioritize reinsurers with strong international presence?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All assistants: 1/60
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 Gemini actually said

An answer that names the company

Gemininamed the company

“Which reinsurance solutions are most comprehensive for large organizations?”

… Global Reach: Many large organizations operate internationally, requiring reinsurance solutions that provide compliant coverage and streamlined processes across multiple jurisdictions. Companies like PartnerRe operate across multiple regions, including the United States, France, and Canada, while Everest Group has expanded its footprint across Europe and Asia.

3. Advanced Analytics and Technology:

Data-Driven Insights: Reinsurers leverage advanced analytics, predictive modeling, and machine learning to understand and quantify risk, identify emerging threats, and design i …

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
    Munich Re
    3
  2. 02
    Swiss Re
    1
  3. 03
    Hannover Re
    1

Share of mentions

CompanyShare
  1. Munich Re
    50.0%
  2. Everest Group
    16.7%
  3. Swiss Re
    16.7%
  4. Hannover Re
    16.7%
  5. Berkshire Hathaway Reinsurance Group
    0.0%
  6. SCOR
    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
    munichre.com
    18
  2. 02
    chubb.com
    17
  3. 03
    corporatesolutions.swissre.com
    14
  4. 04
    aon.com
    12
  5. 05
    travelers.com
    12
  6. 06
    commercial.allianz.com
    11
  7. 07
    casact.org
    9
  8. 08
    en.wikipedia.org
    9
  9. 09
    content.naic.org
    8
  10. 10
    marsh.com
    8

Everest Group is in the study as a commercial insurer or broker.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Everest Group 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
5

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
100

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 insurers

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

Overall score
37
Ranks 18 of 97. Typical company: 28
Named in answers
1.7%
Ranks 41 of 97. Typical company: 1.7%
AI readiness
21
Ranks 51 of 97. Typical company: 29
Against its categorySection 08

Compared with commercial insurers and brokers

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

Overall score
37
Ranks 3 of 29. Typical company: 27
Named in answers
1.7%
Ranks 14 of 29. Typical company: 1.7%
AI readiness
21
Ranks 12 of 29. Typical company: 21
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. Everest Group 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
0 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    study: 86.1%
  • SitemapNot met

    Serve an XML sitemap and reference it 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 7 of 100 · 97% of checks could run · checked on October 5, 2026 · www.everestglobal.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

  • Not metrobots.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%
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