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

OpenCorporates

opencorporates.com

Market data, ratings and exchangesFinancial technology and data

Money20/20 attendee

Statement period
October 9, 2026
when the AI assistants were asked
Account no.
1,017 of 2,219
its rank by overall score
Place in its category
28th of 37 market data companies
Closing balance

Named in

9of 60 answers

by 3 of 4 assistants

Statement note

What this means for OpenCorporates

AI assistants name this market data company in 15% of their answers, while the typical company in its sector is named in just 1.7% of answers. Its overall score is 28 out of 100, ranking 1,017th of 2,219 companies. 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 OpenCorporates by name. AI assistants named it in 9 of the 60 answers. Counting only how often it is named, it ranks 76th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
28Overall score
  • Visibility17
  • Citations1
  • Sentiment65
  • Site quality50
  • AI readiness21
Summary of account
Named by AI in
15.0%
9 of 60 answers
Share of mentions
22.5%
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
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

OpenCorporates came up on 7 of 15 questions. Open any window to read that answer.

  1. 01Top sources for company verification and due diligence in the US1/4
  2. 02Why am I missing company filings in a legal entity data feed?0/4
  3. 03Average cost of API access for legal entity verification in the United States2/4
  4. 04Is investing in a legal entity data provider worthwhile for small compliance teams?0/4
  5. 05How do legal entity data platforms compare with public business registries for KYC workflows?1/4
  6. 06Alternatives to using automated legal entity data platforms for risk assessment0/4
  7. 07How to resolve mismatches between company names and unique identifiers during onboarding?1/4
  8. 08What are the main options besides commercial legal entity databases for supplier vetting?1/4
  9. 09What are the best legal entity data platforms for financial crime investigations?2/4
  10. 10What determines the pricing tiers for enterprise legal entity data platforms?0/4
  11. 11Can comprehensive entity data solutions improve third-party risk management effectiveness?0/4
  12. 12How can legal entity databases support ESG monitoring in vendor due diligence?0/4
  13. 13Best ways to use legal entity data for anti-money laundering screening0/4
  14. 14Manual vs automated approaches for corporate data enrichment1/4
  15. 15Entity data APIs vs bulk data feeds for compliance onboarding0/4
Total namedOpenAI: 5/15Claude: 2/15Perplexity: 2/15Gemini: 0/15All assistants: 9/60
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

“What are the best legal entity data platforms for financial crime investigations?”

The strongest legal-entity data platforms for financial-crime investigations are Moody’s Orbis, Bureau van Dijk/Compliance Catalyst, OpenCorporates, Dow Jones Risk & Compliance, LSEG World-Check, LexisNexis Risk Solutions, Quantifind, and OCCRP Aleph. The best choice depends on whether the priority is global ownership data, investigative graphing, screening, adverse media, or jurisdictional registry coverage.

Recommended platforms

Platform · Best for · Key strengths · Main limitation

Moody’s Orbis · Global KYB, UBO and corporate-network research · Exten …

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
    Sayari
    1

Share of mentions

CompanyShare
  1. Dun & Bradstreet (D&B)
    25.0%
  2. OpenCorporates
    22.5%
  3. LexisNexis Entity Insight
    22.5%
  4. Moody’s Analytics Orbis
    17.5%
  5. Orbis (by Bureau van Dijk)
    10.0%
  6. Sayari
    2.5%
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
    9
  2. 02
    sourceforge.net
    7
  3. 03
    wolterskluwer.com
    6
  4. 04
    lexisnexis.com
    5
  5. 05
    veridion.com
    5
  6. 06
    diligent.com
    5
  7. 07
    apify.com
    5
  8. 08
    sigma360.com
    5
  9. 09
    dev.to
    4
  10. 10
    library.doc.gov
    4

OpenCorporates 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

OpenAI
5/15
Perplexity
2/15
Claude
2/15
Gemini
0/15
Market comparisonSection 06

How OpenCorporates 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
17

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

Citations
1

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

Sentiment
65

How positively AI describes the company

Site quality
50

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
28
Ranks 302 of 574. Typical company: 29
Named in answers
15.0%
Ranks 76 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
28
Ranks 27 of 37. Typical company: 36
Named in answers
15.0%
Ranks 18 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?

Not by itself. OpenCorporates 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
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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 32 of 100 · 97% of checks could run · checked on October 9, 2026 · opencorporates.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%
  • 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

  • PassedExplicit 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 rules for 1 AI crawler by name. All others follow its general rules.

Training AI

  • GPTBot*blocked
  • 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

Share this result

Overall score 28 of 100 badge for OpenCorporates

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/opencorporates.com"><img src="https://aeo-audit.rezolve.com/finance/badges/opencorporates.com.svg" alt="Overall score 28 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
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