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.
1,386 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 NICE Information Services

AI assistants do not name this credit bureau or scoring company in any of the 60 answers analyzed, while the typical company in its sector is named in 3.3% of answers. Its overall score is 27 out of 100, ranking 1,386th of 2,219 companies in the study. Its website does not pass any of the 14 technical checks for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned NICE Information Services by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 56th of 93 in its sector. The typical lending and credit company is named in 3.3% 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
27Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality100
  • AI readiness0
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
0/14
technical checks passed. Typical for its sector: 4
Rank in its sector
60 of 93
by overall score, where the typical lending and credit company scores 31

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Line itemsSection 01

Every question, and where the company came up

NICE Information Services came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Why does my business credit report show missing or outdated information?0/4
  2. 02Are there free alternatives to paid business credit information services?0/4
  3. 03Is it worth investing in a comprehensive business credit report for potential vendors?0/4
  4. 04How can I dispute errors found in company credit data services?0/4
  5. 05How can lenders use business credit information to make loan decisions?0/4
  6. 06What are the most reliable sources for business credit information in the US?0/4
  7. 07What other ways can I assess a company’s creditworthiness besides traditional business credit reports?0/4
  8. 08How can I find the best company credit reports for small businesses?0/4
  9. 09Best non-traditional sources for business financial background checks in the US?0/4
  10. 10What are the typical price differences between single report purchases and annual business credit plans?0/4
  11. 11How do automated business credit report platforms compare to traditional manual services?0/4
  12. 12How much do business credit information subscriptions usually cost in the US?0/4
  13. 13What’s the difference between business credit bureaus and financial data aggregators?0/4
  14. 14Do I need to pay for full business credit monitoring or are basic reports enough?0/4
  15. 15When should companies pull a prospective partner’s business credit report?0/4
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 Claude actually said

The company is not named in this answer

Claudedid not name the company

“Why does my business credit report show missing or outdated information?”

I can help you understand why your business credit report might have missing or outdated information. Let me search for current information about common causes.There are several common reasons why your business credit report may show missing or outdated information:

Reporting Delays and Gaps

Most lenders report information monthly, so updates can take time to appear. Additionally, information is missing because a lender hasn't reported it yet or doesn't report to that credit reference agency. This is particularly common because if a supplier you deal with isn't listed on your business cre …

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
    Dun & Bradstreet
    21
  2. 02
    Creditsafe
    6
  3. 03
    Experian Business Credit
    1

Share of mentions

CompanyShare
  1. Experian Business Credit
    31.8%
  2. Equifax Business Credit Reports
    30.0%
  3. Dun & Bradstreet
    28.2%
  4. Creditsafe
    9.1%
  5. Cortera (A Moody’s Analytics Company)
    0.9%
  6. NICE Information Services
    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
    nav.com
    12
  2. 02
    ramp.com
    10
  3. 03
    brex.com
    7
  4. 04
    dnb.com
    6
  5. 05
    creditsafe.com
    6
  6. 06
    equifax.com
    6
  7. 07
    startupowl.com
    6
  8. 08
    nerdwallet.com
    5
  9. 09
    highradius.com
    5
  10. 10
    experian.com
    5

NICE Information Services is in the study as a credit bureau or scoring company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How NICE Information Services 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
100

How well built the website's own pages are

AI readiness
0

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 lending and credit companies

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

Overall score
27
Ranks 60 of 93. Typical company: 31
Named in answers
0.0%
Ranks 56 of 93. Typical company: 3.3%
AI readiness
0
Ranks 90 of 93. Typical company: 29
Against its categorySection 08

Compared with credit bureaus and scoring companies

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

Overall score
27
Ranks 12 of 13. Typical company: 37
Named in answers
0.0%
Ranks 11 of 13. Typical company: 16.7%
AI readiness
0
Ranks 13 of 13. 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. NICE Information Services 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
0 of 100
  • AI bot rulesNot 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 0 of 100 · 97% of checks could run · checked on October 9, 2026 · nicebizinfo.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

0 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%
  • Not metToken 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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