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

Automatic Data Processing

adp.comADP

Accounting, tax and payrollFinancial technology and data

Money20/20 attendeeS&P 500

Also in the US AI Visibility Study

Statement period
September 23 to 25, 2026
when the AI assistants were asked
Account no.
532 of 2,219
its rank by overall score
Place in its category
21st of 32 accounting, tax and payroll companies
Closing balance

Named in

19of 60 answers

by 4 of 4 assistants

Statement note

What this means for Automatic Data Processing

AI assistants name Automatic Data Processing in 31.7% of answers, which is much more often than the typical company in its sector at 1.7%. Its overall score is 36 out of 100, ranking 532nd of 2,219 companies in the study. The website passes 3 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Automatic Data Processing by name. AI assistants named it in 19 of the 60 answers. Counting only how often it is named, it ranks 20th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
36Overall score
  • Visibility29
  • Citations5
  • Sentiment50
  • Site quality80
  • AI readiness21
Summary of account
Named by AI in
31.7%
19 of 60 answers
Share of mentions
26.4%
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
181 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

Automatic Data Processing came up on 8 of 15 questions. Open any window to read that answer.

  1. 01How can automated payroll platforms simplify tax filings for accountants?0/4
  2. 02Common errors when setting up employee benefits in cloud-based HR software0/4
  3. 03US-based alternatives to automated HR, payroll, and benefits administration tools4/4
  4. 04Payroll software vs manual payroll processing: which is more efficient for medium businesses?0/4
  5. 05Is an all-in-one payroll, HR, and tax compliance system worth the investment for a growing business?0/4
  6. 06Does using an online payroll platform make sense for startups with just a few employees?1/4
  7. 07How do integrated HR and payroll platforms compare to separate solutions?0/4
  8. 08Alternatives to cloud-based payroll platforms for businesses with unique compliance needs2/4
  9. 09What are good options besides online payroll services for managing HR tasks?1/4
  10. 10Best practices for onboarding seasonal workers using cloud-based HR solutions0/4
  11. 11How do businesses handle late payroll runs with online payroll systems?0/4
  12. 12What are the best payroll and HR platforms for small businesses in the US?4/4
  13. 13Are there affordable payroll and HR options for nonprofits with under 20 employees?2/4
  14. 14What’s the typical monthly cost for full-service payroll and HR software in the US?1/4
  15. 15Top-rated online payroll solutions for midsize companies4/4
Total namedOpenAI: 5/15Claude: 4/15Perplexity: 5/15Gemini: 5/15All assistants: 19/60
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

“Top-rated online payroll solutions for midsize companies”

For midsize companies, the strongest online payroll options in the results are ADP, Paycom, Paylocity, Gusto, and OnPay. If you want a single “top-rated” pick for broader midsize use, Gusto is the most consistently rated overall, while ADP and Paycom stand out more for midsize and multi-state complexity.

Gusto — Best overall in PCMag’s 2026 testing, with strong payroll plus HR features and an especially good user experience.

ADP — Recommended for midsized companies operating across multiple states and for businesses that want …

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
    Gusto
    23
  2. 02
    Paychex
    10
  3. 03
    Paylocity
    7
  4. 04
    Paycor
    6

Share of mentions

CompanyShare
  1. Gusto
    31.9%
  2. Automatic Data Processing
    26.4%
  3. Paychex
    19.4%
  4. Paycor
    12.5%
  5. Paylocity
    9.7%
  6. Ceridian (Dayforce)
    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
    gusto.com
    35
  2. 02
    adp.com (its own website)
    31
  3. 03
    hrcloud.com
    16
  4. 04
    onpay.com
    13
  5. 05
    pcmag.com
    13
  6. 06
    hibob.com
    13
  7. 07
    paychex.com
    12
  8. 08
    techrepublic.com
    12
  9. 09
    peoplemanagingpeople.com
    12
  10. 10
    workforce.com
    11

Automatic Data Processing 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

Gemini
5/15
OpenAI
5/15
Perplexity
5/15
Claude
4/15
Market comparisonSection 06

How Automatic Data Processing 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
5

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

Sentiment
50

How positively AI describes the company

Site quality
80

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
36
Ranks 181 of 574. Typical company: 29
Named in answers
31.7%
Ranks 20 of 574. Typical company: 1.7%
AI readiness
21
Ranks 401 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
36
Ranks 21 of 32. Typical company: 38
Named in answers
31.7%
Ranks 6 of 32. Typical company: 15.0%
AI readiness
21
Ranks 23 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
Can an AI agent check out here?

Not by itself. Automatic Data Processing 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
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
50 of 100
  • Markdown negotiationNot met

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

  • 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%
  • Passedllms.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 36 of 100 badge for Automatic Data Processing

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/adp.com"><img src="https://aeo-audit.rezolve.com/finance/badges/adp.com.svg" alt="Overall score 36 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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