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

Ramp

ramp.com

Business payments and spend managementCards and payments

Money20/20 attendee

Statement period
October 9, 2026
when the AI assistants were asked
Account no.
72 of 2,219
its rank by overall score
Place in its category
1st of 30 business payments providers
Closing balance

Named in

15of 60 answers

by 4 of 4 assistants

Statement note

What this means for Ramp

AI assistants name this business payments provider in 25% of answers. It stands out compared to the typical company in its sector, which is named in 0% of answers. Ramp's overall score is 44 out of 100, ranking 72nd of 2,219 companies. Its website passes 4 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Ramp by name. AI assistants named it in 15 of the 60 answers. Counting only how often it is named, it ranks 26th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
44Overall score
  • Visibility24
  • Citations8
  • Sentiment87
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
25.0%
15 of 60 answers
Share of mentions
23.4%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
13 of 375
by overall score, where the typical cards and payments company scores 27

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Line itemsSection 01

Every question, and where the company came up

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

  1. 01Differences between expense management software and full procure-to-pay automation systems0/4
  2. 02Best ways to manage recurring payments and subscriptions using AI spend platforms0/4
  3. 03What spreadsheet templates or manual methods can replace automated spend management for small teams?1/4
  4. 04How does an AI spend management platform compare to traditional corporate card programs?0/4
  5. 05Most recommended all-in-one finance platforms for teams looking to streamline cards, expenses, and bill payments3/4
  6. 06How can automated spend management help speed up month-end close processes?0/4
  7. 07What are the best AI-powered spend management tools for automating expense reports for US businesses?4/4
  8. 08What do AI-powered spend management solutions typically cost for a midsize business?1/4
  9. 09Should businesses invest in platforms that combine accounts payable, corporate cards, and accounting automation?0/4
  10. 10Is an automated expense and spend platform worth it for small US finance teams?2/4
  11. 11Other ways US companies can control business spending without dedicated software0/4
  12. 12Why aren't receipt uploads syncing correctly in a spend management platform?0/4
  13. 13How to resolve issues with automated budget alerts in a cloud-based expense tool0/4
  14. 14Are there free or low-cost expense automation tools available for startups?3/4
  15. 15Alternatives to using an all-in-one finance platform for handling corporate expenses1/4
Total namedOpenAI: 3/15Claude: 5/15Perplexity: 3/15Gemini: 4/15All assistants: 15/60
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

“Most recommended all-in-one finance platforms for teams looking to streamline cards, expenses, and bill payments”

For most U.S. teams, Ramp is the strongest all-in-one choice: it combines corporate cards, expense management, reimbursements, bill pay, procurement, travel, and accounting automation in one platform.

Top platforms

Platform · Best for · Why consider it

Ramp · Most growing and midsize teams · Broadest unified workflow across cards, expenses, bill payments, travel, procurement, and accounting; particularly strong for U.S.-centered companies.

Airbase · Finance-led spend control · Combines corporate cards, employee reimbursements, and acco …

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
    Brex
    23
  2. 02
    Expensify
    18
  3. 03
    Airbase
    7
  4. 04
    Divvy
    5
  5. 05
    Spendesk
    4

Share of mentions

CompanyShare
  1. Brex
    26.6%
  2. Ramp
    23.4%
  3. Expensify
    23.4%
  4. Divvy
    12.5%
  5. Airbase
    9.4%
  6. Spendesk
    4.7%
ReferrersSection 04

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    ramp.com (its own website)
    33
  2. 02
    brex.com
    18
  3. 03
    bill.com
    16
  4. 04
    navan.com
    13
  5. 05
    emburse.com
    9
  6. 06
    payhawk.com
    9
  7. 07
    spendesk.com
    8
  8. 08
    ofx.com
    8
  9. 09
    mercury.com
    7
  10. 10
    airwallex.com
    7

Ramp is in the study as a business payments provider.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
5/15
Gemini
4/15
Perplexity
3/15
OpenAI
3/15
Market comparisonSection 06

How Ramp 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
24

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

Citations
8

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

Sentiment
87

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
29

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 cards and payments companies

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

Overall score
44
Ranks 13 of 375. Typical company: 27
Named in answers
25.0%
Ranks 26 of 375. Typical company: 0.0%
AI readiness
29
Ranks 106 of 375. Typical company: 29
Against its categorySection 08

Compared with business payments providers

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

Overall score
44
Ranks 1 of 30. Typical company: 29
Named in answers
25.0%
Ranks 1 of 30. Typical company: 1.7%
AI readiness
29
Ranks 13 of 30. 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. Ramp 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
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 25 of 100 · 97% of checks could run · checked on October 9, 2026 · ramp.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

4 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%
  • PassedHTTP 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

Share this result

Overall score 44 of 100 badge for Ramp

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/ramp.com"><img src="https://aeo-audit.rezolve.com/finance/badges/ramp.com.svg" alt="Overall score 44 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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