- Visibility2
- Citations1
- Sentiment50
- Site quality80
- AI readiness36
AI assistants rarely name Corpay, mentioning it once in 60 answers. Other companies named in the same answer include Brex, Tipalti, and Coupa. Its overall score is 28 out of 100, which ranks 1,433rd of 2,047 companies. The website passes 5 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the finance market: none named Corpay. AI assistants named it in 1 of 60 answers (1.7%). The typical finance company is named in 3.3% of answers. By how often it is named, Corpay ranks 106 of 205 in its sector.
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 rivals.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
205 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Top solutions for streamlining cross-border business payments for mid-sized companies?”
Mid-sized companies engaging in cross-border business payments often face challenges with hidden fees, slow settlement times, and a lack of transparency. The right solutions can streamline these processes, offering benefits like multi-currency accounts, competitive exchange rates, and simplified compliance.
Here are some top solutions for streamlining cross-border business payments for mid-sized companies:
1. Dedicated Cross-Border Payment Platforms:
These platforms are specifically designed to handle the complexities of international transactions, often outperforming traditional banks …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPassed
An XML sitemap listing the pages, ideally referenced from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtPartly met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%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: 0.1%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: 33.7%WebMCPNot met
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 36 of 100 · 100% of checks could run · checked on October 4, 2026 · www.corpay.com · 2,047 companies scanned
5 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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Passedllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- PassedExplicit AI bot rulesstudy: 13.0%
- Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
- Not metOAuth Authorization Server discoverystudy: 10.1%
- Not metOAuth Protected Resource discoverystudy: 9.3%
- Not metMCP Server Cardstudy: 0.0%
- Not metA2A Agent Cardstudy: 0.0%
- Not metWebMCP toolsstudy: 4.2%
- Not metAgent Skills declaredstudy: 0.0%
This website sets rules for 5 AI crawlers by name. All others follow its general rules.
- GPTBot*partly
- ClaudeBot*partly
- Anthropic-AIpartly
- Google-Extended*partly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBot*partly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBot*partly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- 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.
How many times each website was listed as a source in these answers
In the study as S&P 500.
- Best practices for managing vendor payments using automated business payment systems?
- How do AI-powered business payments systems improve workflow efficiency for finance teams?
- Common issues with cross-border payment automation and how to resolve them?
- Expense management platform vs. traditional accounts payable software—what are the key differences?
- What is the typical pricing structure for business payments and expense management platforms?
- Why are my automated business payments failing to process successfully?
- Which business expense automation tools offer real-time insights and analytics?
- What are good alternatives to enterprise-level AP automation platforms for managing business payments?
- How can companies control travel and employee expenses using a unified spend management platform?
- Top solutions for streamlining cross-border business payments for mid-sized companies?
- All-in-one business payments platforms vs. specialized vendor payment tools: Which is better for large organizations?
- Are there affordable solutions for expense automation for mid-sized businesses?
- Is investing in a business spend management platform worth it for companies looking to scale AP operations?
- Alternatives to all-in-one spend management systems for companies that only need cross-border payment support?
- What are the best business spend management platforms for automating accounts payable?
Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.