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Mastercard

mastercard.com · Finance · MA

Ranked 998 of 2,047 companies in the study

33Overall score
  • Visibility6
  • Citations1
  • Sentiment67
  • Site quality93
  • AI readiness21
What this means for Mastercard

AI assistants name Mastercard in 5% of answers, which is a bit more often than the typical company in the finance sector. Its overall score is 33 out of 100, ranking 998th of 2,047 companies studied. Mastercard's website passes 3 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the finance market: none named Mastercard. AI assistants named it in 3 of 60 answers (5.0%). The typical finance company is named in 3.3% of answers. By how often it is named, Mastercard ranks 71 of 205 in its sector.

Named by AI in
5.0%
3 of 60 answers
Share of mentions
8.1%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
67 of 205
by overall score, where the typical finance company scores 29
How Mastercard compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
6

How often AI assistants name the company

Citations
1

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

Sentiment
67

How positively AI describes the company

Site quality
93

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.

Compared with finance

205 companies in this sector. The line on each bar is the typical company.

Overall score33
Ranks 67 of 205. Typical company: 29
Named in answers5%
Ranks 71 of 205. Typical company: 3%
AI readiness21
Ranks 82 of 205. Typical company: 21
What OpenAI actually said

An answer that names the company

“What should I do if a digital transaction gets declined unexpectedly?”

Getting a digital transaction declined can be annoying and sometimes urgent. Here’s a clear, practical checklist you can follow to resolve it quickly and avoid the same problem in future.

Immediate checks (do these first)

Confirm the decline message exactly (error code, wording, or screenshot).

Check your balance or available credit right away — maybe it’s insufficient.

Verify card/account details you entered (number, expiry, CVV, billing address).

Make sure the merchant allowed the card type and currency (some accept only specific cards/countries).

If using a stored card or …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Visa3American Express3Discover1
Share of mentions

How the mentions in these answers were split between this company and its rivals

PayPal (PayPal Checkout and Business Solutions)
68.8%
Mastercard
9.4%
Visa
9.4%
American Express
9.4%
Discover
3.1%
Diners Club International
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
3/15
Gemini
0/15
Perplexity
0/15
Claude
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, 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

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

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: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.mastercard.com · 2,047 companies scanned

See how every company did, and how this was measured.

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
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • 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%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI
  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed
AI search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
Answering questions
  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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.

Websites the AI used as sources

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

wise.com
15
cnbc.com
15
paypal.com
13
experian.com
12
stripe.com
11
nerdwallet.com
11
consumerfinance.gov
10
forbes.com
9
bankrate.com
8
chase.com
7

In the study as S&P 500.

Every question, and where the company came up (3 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Are there free options for sending money digitally between friends in the US?
  • How do credit cards differ from debit cards for everyday purchases?
  • What are some alternatives to traditional credit cards for building credit history?
  • What should I do if a digital transaction gets declined unexpectedly?
  • What are the best contactless payment options for travelers in the US?
  • Which payment methods are best suited for small businesses accepting online payments?
  • Prepaid cards vs. traditional checking accounts—what's better for budgeting?
  • What fees should consumers expect with prepaid cards?
  • Which digital wallet services offer the most security for online shopping?
  • Do digital payment networks provide extra benefits compared to using cash?
  • Why might a contactless payment not work at a retail store?
  • How can government agencies streamline disbursements with digital payment platforms?
  • What solutions exist for international payments besides using a bank wire?
  • Is it worth using a premium credit card for shopping protections?
  • What non-card payment systems can be used for secure online purchases?
named the companyanswered without naming itdid not answer

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.

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Overall score 33 of 100 badge for Mastercard

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