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 and 24, 2026
when the AI assistants were asked
Account no.
2,086 of 2,219
its rank by overall score
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Willis Towers Watson

AI assistants do not name Willis Towers Watson in any of their 60 answers, while the typical company in its sector is named in 1.7% of answers. Its overall score is 23 out of 100, ranking 2,086th of 2,219 companies. The website passes 1 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Willis Towers Watson by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 57th 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
23Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality73
  • AI readiness7
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
1/14
technical checks passed. Typical for its sector: 3
Rank in its sector
89 of 97
by overall score, where the typical insurer scores 28

Get the full report on Willis Towers Watson 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

Willis Towers Watson came up on 0 of 15 questions. Open any window to read that answer.

  1. 01How much should a medium business expect to budget for HR consulting solutions annually?0/4
  2. 02Typical pricing models for corporate risk management services in the US0/4
  3. 03How to address low employee engagement despite offering comprehensive benefits packages0/4
  4. 04How does broking differ from direct insurance placement for organizations?0/4
  5. 05What are some options besides third-party consulting for optimizing employee benefits?0/4
  6. 06What should organizations look for in a partner to support both risk and employee benefit needs?0/4
  7. 07Are advanced people analytics solutions worth the investment for HR departments?0/4
  8. 08How do organizations use data-driven insights to make better decisions about workforce planning?0/4
  9. 09Why might a customized risk management program fail to mitigate business threats?0/4
  10. 10Is outsourcing human capital management cost-effective for growing businesses?0/4
  11. 11Alternatives to in-house broking for managing corporate insurance portfolios0/4
  12. 12Corporate risk analytics vs traditional risk assessment—what's more effective for large companies?0/4
  13. 13Best practices for integrating risk and capital management strategies in multi-national corporations0/4
  14. 14What are the key considerations when selecting a corporate risk management consultant in the United States?0/4
  15. 15Best ways to improve employee benefits strategies for mid-sized businesses0/4
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

“Alternatives to in-house broking for managing corporate insurance portfolios”

Here are practical alternatives to running an in‑house broking function for managing a corporate insurance portfolio, with brief descriptions, pros/cons, and guidance on when each makes sense.

1) External retail broker (full-service)

What: A national/international brokerage firm (e.g., Marsh/Willis/Aon or regional brokers) handles placement, renewal negotiation, policy wording, claims advocacy and market access.

Pros: broad market access, scale, technical expertise, regulatory/compliance support, often global programme capability.

Cons: fee or commission costs; potential conflict of int …

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
    Aon
    1

Share of mentions

CompanyShare
  1. Aon
    100.0%
  2. Willis Towers Watson
    0.0%
  3. Mercer
    0.0%
  4. Marsh McLennan
    0.0%
  5. Gallagher
    0.0%
  6. Lockton Companies
    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
    diligent.com
    7
  2. 02
    shrm.org
    7
  3. 03
    gnapartners.com
    7
  4. 04
    insurancebusinessmag.com
    7
  5. 05
    mercer.com
    6
  6. 06
    trinet.com
    5
  7. 07
    visier.com
    5
  8. 08
    peoplemanagingpeople.com
    4
  9. 09
    hr.university
    4
  10. 10
    mckinsey.com
    4

Willis Towers Watson 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
0/15
Perplexity
0/15
Claude
0/15
OpenAI
0/15
Market comparisonSection 06

How Willis Towers Watson 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
73

How well built the website's own pages are

AI readiness
7

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
23
Ranks 89 of 97. Typical company: 28
Named in answers
0.0%
Ranks 57 of 97. Typical company: 1.7%
AI readiness
7
Ranks 94 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
23
Ranks 26 of 29. Typical company: 27
Named in answers
0.0%
Ranks 20 of 29. Typical company: 1.7%
AI readiness
7
Ranks 27 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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Can an AI agent check out here?

Not by itself. Willis Towers Watson 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
72 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPartly 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 24 of 100 · 97% of checks could run · checked on October 4, 2026 · wtwco.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

1 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%
  • 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%
Take it with you

Get the full report on Willis Towers Watson 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

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