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

Diebold Nixdorf

dieboldnixdorf.comDBD

Banking and fintech infrastructureFinancial technology and data

Also in the US AI Visibility Study

Statement period
September 23 to 30, 2026
when the AI assistants were asked
Account no.
354 of 2,219
its rank by overall score
Place in its category
48th of 315 fintech infrastructure companies
Closing balance

Named in

3of 60 answers

by 3 of 4 assistants

Statement note

What this means for Diebold Nixdorf

AI assistants name Diebold Nixdorf in 5% of answers, which is more frequent than the typical company in its sector at 1.7%. Its overall score is 39 out of 100, ranking 354th of 2,219 companies in the study. The website passes 2 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Diebold Nixdorf by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 192nd of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
39Overall score
  • Visibility14
  • Citations4
  • Sentiment100
  • Site quality73
  • AI readiness21
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
50.0%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
94 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

Diebold Nixdorf came up on 3 of 15 questions. Open any window to read that answer.

  1. 01How can retail businesses leverage connected technology to personalize shopper experiences?0/4
  2. 02Is investing in advanced retail automation worth it for large grocery stores?0/4
  3. 03Common issues with integrating legacy banking systems with new automation technology0/4
  4. 04What are the most reliable banking technology solutions for streamlining branch operations?1/4
  5. 05Best use cases for cash recycling ATM technology in modern branches0/4
  6. 06Where can financial institutions find support resources for next-generation banking technology?0/4
  7. 07Best retail technology platforms for enhancing in-store customer experiences in the US1/4
  8. 08Why might a smart checkout solution fail to improve customer queue times?0/4
  9. 09How do enterprise-level retail technology subscriptions compare to pay-per-terminal models?0/4
  10. 10Alternatives to traditional ATM hardware for small banks in the US0/4
  11. 11ATM channel optimization solutions vs. full branch automation: what's better for mid-sized banks?1/4
  12. 12How do self-checkout systems compare to traditional point-of-sale terminals?0/4
  13. 13What is the typical cost structure for branch automation solutions in US banks?0/4
  14. 14What options exist for all-in-one POS systems that don't require major infrastructure changes?0/4
  15. 15Are scalable banking platforms a good option for regional credit unions looking to expand services?0/4
Total namedOpenAI: 1/15Claude: 0/15Perplexity: 1/15Gemini: 1/15All assistants: 3/60
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

“ATM channel optimization solutions vs. full branch automation: what's better for mid-sized banks?”

… In practical terms, ATM optimization is usually the lower-risk, lower-capex path. Diebold Nixdorf and Fiserv both describe data-driven ATM cash optimization, cassette right-sizing, cash recycling, and managed services as ways to reduce cash-handling work, CIT visits, and total cash-management cost, with claims of up to 40% cost reduction from optimized ATM-managed processes and up to 50% reduction in one ATM cash optimization package. These approaches are aimed at making the existing self-service network cheaper and more efficient rather than replacing the branch model.[4 …

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.

Share of mentions

CompanyShare
  1. Diebold Nixdorf
    50.0%
  2. FIS (Fidelity National Information Services)
    50.0%
  3. NCR Voyix
    0.0%
  4. GRG Banking
    0.0%
  5. Hyosung Innovue
    0.0%
  6. Triton Systems
    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
    dieboldnixdorf.com (its own website)
    22
  2. 02
    fiserv.com
    16
  3. 03
    shopify.com
    11
  4. 04
    mckinsey.com
    10
  5. 05
    ncratleos.com
    10
  6. 06
    atmmarketplace.com
    9
  7. 07
    jackhenry.com
    7
  8. 08
    hyosungamericas.com
    7
  9. 09
    deloitte.com
    6
  10. 10
    fisglobal.com
    6

Diebold Nixdorf is in the study as a fintech infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Diebold Nixdorf 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
14

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

Citations
4

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

Sentiment
100

How positively AI describes the company

Site quality
73

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
39
Ranks 94 of 574. Typical company: 29
Named in answers
5.0%
Ranks 192 of 574. Typical company: 1.7%
AI readiness
21
Ranks 401 of 574. Typical company: 29
Against its categorySection 08

Compared with fintech infrastructure companies

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

Overall score
39
Ranks 37 of 315. Typical company: 28
Named in answers
5.0%
Ranks 85 of 315. Typical company: 1.7%
AI readiness
21
Ranks 215 of 315. 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 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. Diebold Nixdorf 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
31 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    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
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 7 of 100 · 97% of checks could run · checked on October 5, 2026 · www.dieboldnixdorf.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

2 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%
  • 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%
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ShareSection 11

Share this result

Overall score 39 of 100 badge for Diebold Nixdorf

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/dieboldnixdorf.com"><img src="https://aeo-audit.rezolve.com/finance/badges/dieboldnixdorf.com.svg" alt="Overall score 39 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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