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.
1,046 of 2,219
its rank by overall score
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for Wolters Kluwer

AI assistants rarely name Wolters Kluwer when asked about the market, mentioning it in 2 out of 60 answers. Its overall score is 28 out of 100, ranking 1,046th of 2,219. The website passes 1 of 14 technical checks for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Wolters Kluwer by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 223rd of 574 in its sector. The typical financial technology and data company 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
28Overall score
  • Visibility5
  • Citations0
  • Sentiment50
  • Site quality93
  • AI readiness7
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
10.5%
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
302 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

Wolters Kluwer came up on 1 of 15 questions. Open any window to read that answer.

  1. 01What are some low-cost options for tax research for small accounting firms?2/4
  2. 02How do information management services differ from document automation tools?0/4
  3. 03Are cloud-based finance management platforms suitable for highly regulated industries?0/4
  4. 04Best ways healthcare providers utilize clinical decision support systems in daily practice?0/4
  5. 05Why might a professional information system not sync with other enterprise software?0/4
  6. 06Is investing in an AI-powered legal research solution worth it for medium-sized law firms?0/4
  7. 07Alternatives to enterprise-level information solutions for startups in the legal sector?0/4
  8. 08How to resolve common access issues with online compliance platforms?0/4
  9. 09Top-rated compliance software solutions for healthcare organizations?0/4
  10. 10Tax and accounting software vs traditional manual processes — which is more effective for small businesses?0/4
  11. 11Are subscription-based information platforms more cost-effective than one-time purchase models for professional services?0/4
  12. 12How do tax professionals use workflow automation tools to streamline filings?0/4
  13. 13What can professionals use instead of specialized compliance software for basic regulatory tracking?0/4
  14. 14What is the typical price range for business compliance software in the US?0/4
  15. 15What are the best professional information platforms for legal research?0/4
Total namedOpenAI: 0/15Claude: 1/15Perplexity: 0/15Gemini: 1/15All assistants: 2/60
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 Claude actually said

An answer that names the company

Claudenamed the company

“What are some low-cost options for tax research for small accounting firms?”

… More comprehensive platforms like Thomson Reuters Checkpoint and Wolters Kluwer CCH AnswerConnect generally start at $1,200 to $1,500 per user annually.

Bundled Options

If your firm already uses tax preparation software, this may be cost-effective. Tax research software may not be cost-effective for small practices handling primarily basic federal returns with minimal advisory work, in which cases bundled research features included in tax prep software or free IRS resources might suffice.

Alternatives for Specific Needs

The CCH AnswerConnect Small Firms package is ideal for firms w …

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
    Thomson Reuters
    3
  2. 02
    LexisNexis
    2

Share of mentions

CompanyShare
  1. LexisNexis
    26.3%
  2. Thomson Reuters
    21.1%
  3. Bloomberg Industry Group
    21.1%
  4. CCH Incorporated (a Wolters Kluwer brand)
    21.1%
  5. Wolters Kluwer
    10.5%
  6. RELX (including its LexisNexis and Elsevier brands)
    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
    legal.thomsonreuters.com
    9
  2. 02
    tax.thomsonreuters.com
    8
  3. 03
    unclekam.com
    6
  4. 04
    capterra.com
    5
  5. 05
    moldstud.com
    3
  6. 06
    guideflow.com
    3
  7. 07
    g2.com
    3
  8. 08
    us.fitgap.com
    3
  9. 09
    complies.ai
    3
  10. 10
    wolterskluwer.com (its own website)
    3

Wolters Kluwer is in the study as an accounting, tax or payroll company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Wolters Kluwer 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
50

How positively AI describes the company

Site quality
93

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 financial technology and data companies

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

Overall score
28
Ranks 302 of 574. Typical company: 29
Named in answers
3.3%
Ranks 223 of 574. Typical company: 1.7%
AI readiness
7
Ranks 533 of 574. Typical company: 29
Against its categorySection 08

Compared with accounting, tax and payroll companies

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

Overall score
28
Ranks 25 of 32. Typical company: 38
Named in answers
3.3%
Ranks 23 of 32. Typical company: 15.0%
AI readiness
7
Ranks 30 of 32. 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

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. Wolters Kluwer 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
100 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 headersCould not check

    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
100 of 100
  • Markdown negotiationCould not check

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    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 43 of 100 · 81% of checks could run · checked on October 9, 2026 · www.wolterskluwer.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%
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