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 to 14, 2026
when the AI assistants were asked
Account no.
133 of 2,219
its rank by overall score
Place in its category
7th of 37 market data companies
Closing balance

Named in

14of 60 answers

by 4 of 4 assistants

Statement note

What this means for Thomson Reuters

AI assistants name this market data company in 23.3% of answers, much more often than the typical company in its sector at 1.7%. Its overall score is 42 out of 100, ranking 133rd of 2,219 companies and 46th of 574 in its sector. Its website passes 3 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Thomson Reuters by name. AI assistants named it in 14 of the 60 answers. Counting only how often it is named, it ranks 32nd of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
42Overall score
  • Visibility29
  • Citations2
  • Sentiment75
  • Site quality93
  • AI readiness21
Summary of account
Named by AI in
23.3%
14 of 60 answers
Share of mentions
43.8%
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
46 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

Thomson Reuters came up on 6 of 15 questions. Open any window to read that answer.

  1. 01Is investing in AI-powered tax preparation tools worth it for midsize accounting firms?1/4
  2. 02What are effective ways accounting professionals can automate regulatory compliance tasks?0/4
  3. 03Which legal research tools offer robust classification AI features aside from the major providers?2/4
  4. 04How can tax professionals resolve integration issues between compliance platforms and other business software?0/4
  5. 05What are the best AI-driven technology solutions for legal professionals?4/4
  6. 06How does specialized legal research software differ from general document automation tools?0/4
  7. 07What should I do if AI-powered legal tech outputs unreliable or incomplete results?1/4
  8. 08Are premium compliance solutions essential for small law practices or are basic tools sufficient?0/4
  9. 09Risk management platforms vs. traditional investigative methods: what are the pros and cons?0/4
  10. 10How can law firms use AI to improve matter management efficiency?0/4
  11. 11How do subscription fees for risk management software compare with one-time license purchases?0/4
  12. 12What are typical costs for comprehensive legal technology platforms in the United States?0/4
  13. 13Are there any open-source platforms suitable for risk and fraud investigation in professional services?0/4
  14. 14What are good alternatives to fiduciary-grade AI solutions for high-stakes legal work?3/4
  15. 15Which compliance software platforms are most popular with US tax firms?3/4
Total namedOpenAI: 5/15Claude: 2/15Perplexity: 2/15Gemini: 5/15All assistants: 14/60
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

An answer that names the company

OpenAInamed the company

“Which legal research tools offer robust classification AI features aside from the major providers?”

Do you mean “major providers” as in LexisNexis, Westlaw/Thomson Reuters, and Bloomberg Law (i.e., exclude those three)? If so, here’s a concise list of non‑major legal/research platforms and adjacent legal‑AI vendors known for robust document/classification capabilities, with a short note on each and a source you can check.

Kira Systems (now part of Litera) — enterprise contract/regulatory document classifier and clause‑extraction engine used heavily for due diligence and compliance workflows. (workwisesolutions.org …

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
    Bloomberg Law
    2
  2. 02
    Wolters Kluwer
    1

Share of mentions

CompanyShare
  1. Thomson Reuters
    43.8%
  2. RELX (LexisNexis)
    25.0%
  3. Bloomberg Law
    15.6%
  4. CaseText (by Thomson Reuters)
    12.5%
  5. Wolters Kluwer
    3.1%
  6. Intapp
    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
    tax.thomsonreuters.com
    15
  2. 02
    clio.com
    10
  3. 03
    logicalcommander.com
    6
  4. 04
    legal.thomsonreuters.com
    6
  5. 05
    gc.ai
    6
  6. 06
    americanbar.org
    5
  7. 07
    arxiv.org
    5
  8. 08
    spellbook.com
    4
  9. 09
    thomsonreuters.com (its own website)
    4
  10. 10
    unclekam.com
    4

Thomson Reuters 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

Gemini
5/15
OpenAI
5/15
Claude
2/15
Perplexity
2/15
Market comparisonSection 06

How Thomson Reuters 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
29

How often AI assistants name the company, and how that compares with its peers

Citations
2

How often AI uses the company's own website as a source

Sentiment
75

How positively AI describes the company

Site quality
93

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
42
Ranks 46 of 574. Typical company: 29
Named in answers
23.3%
Ranks 32 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
42
Ranks 4 of 37. Typical company: 36
Named in answers
23.3%
Ranks 13 of 37. Typical company: 15.0%
AI readiness
21
Ranks 20 of 37. 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
Can an AI agent check out here?

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPCould not check
  • UCPCould not check
Interfaces for AI agents
  • MCP Server CardCould not check
  • A2A Agent CardCould not check
  • Agent SkillsCould not check
  • API CatalogCould not check
  • 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 AuthCould not check

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.3%
APIs, auth and MCP
  • API CatalogCould not check

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryCould not check

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceCould not check

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 5.3%
  • auth.mdCould not check

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardCould not check

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardCould not check

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsCould not check

    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 manifestCould not check

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 38 of 100 · 63% of checks could run · checked on October 9, 2026 · www.thomsonreuters.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.

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ShareSection 12

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Overall score 42 of 100 badge for Thomson Reuters

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